From 272425a652b5bb20057100de6e50f9303f97f572 Mon Sep 17 00:00:00 2001 From: Steven Brus Date: Wed, 5 Jan 2022 15:36:11 -0600 Subject: [PATCH 01/86] Add climatology_map_waves.py - Started with climatology_map_antarctic_melt.py - Partially complete --- mpas_analysis/ocean/climatology_map_waves.py | 468 +++++++++++++++++++ 1 file changed, 468 insertions(+) create mode 100644 mpas_analysis/ocean/climatology_map_waves.py diff --git a/mpas_analysis/ocean/climatology_map_waves.py b/mpas_analysis/ocean/climatology_map_waves.py new file mode 100644 index 000000000..7dae6ee61 --- /dev/null +++ b/mpas_analysis/ocean/climatology_map_waves.py @@ -0,0 +1,468 @@ +# This software is open source software available under the BSD-3 license. +# +# Copyright (c) 2020 Triad National Security, LLC. All rights reserved. +# Copyright (c) 2020 Lawrence Livermore National Security, LLC. All rights +# reserved. +# Copyright (c) 2020 UT-Battelle, LLC. All rights reserved. +# +# Additional copyright and license information can be found in the LICENSE file +# distributed with this code, or at +# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/master/LICENSE +from __future__ import absolute_import, division, print_function, \ + unicode_literals + +import os +import csv +import xarray as xr +import dask +from multiprocessing.pool import ThreadPool +from pyremap import ProjectionGridDescriptor + +from mpas_analysis.shared import AnalysisTask + +from mpas_analysis.shared.io.utility import build_obs_path, decode_strings, \ + build_config_full_path +from mpas_analysis.shared.io import write_netcdf + +from mpas_analysis.shared.climatology import RemapMpasClimatologySubtask, \ + RemapObservedClimatologySubtask, get_antarctic_stereographic_projection +from mpas_analysis.shared.climatology.climatology import \ + get_masked_mpas_climatology_file_name + +from mpas_analysis.ocean.plot_climatology_map_subtask import \ + PlotClimatologyMapSubtask + +from mpas_analysis.shared.constants import constants + + +class ClimatologyMapWaves(AnalysisTask): # {{{ + """ + An analysis task for the computation of wave climatologies + """ + # Authors + # ------- + # Steven Brus + # Xylar Asay-Davis + + def __init__(self, config, mpasClimatologyTask, regionMasksTask, + controlConfig): # {{{ + """ + Construct the analysis task. + + Parameters + ---------- + config : ``MpasAnalysisConfigParser`` + Configuration options + + mpasClimatologyTask : ``MpasClimatologyTask`` + The task that produced the climatology to be remapped and plotted + + regionMasksTask : ``ComputeRegionMasks`` + A task for computing region masks + + controlConfig : ``MpasAnalysisConfigParser`` + Configuration options for a control run + """ + # Authors + # ------- + # Steven Brus + # Xylar Asay-Davis + + fields = [{'prefix': 'significantWaveHeight', + 'mpas': 'timeMonthly_avg_significantWaveHeight', + 'units': r'm', + 'titleName': 'Significant Wave Height'}, + {'prefix': 'peakWaveFrequency', + 'mpas': 'timeMonthly_avg_peakWaveFrequency', + 'units': r's$^{-1}$', + 'titleName': 'Peak Wave Period'}] + + # call the constructor from the base class (AnalysisTask) + super().__init__( + config=config, taskName='climatologyMapWaves', + componentName='ocean', + tags=['climatology', 'horizontalMap', 'waves']) + + sectionName = self.taskName + + # read in what seasons we want to plot + seasons = config.getExpression(sectionName, 'seasons') + + regionGroups = config.getExpression(sectionName, 'regionGroups') + + if len(seasons) == 0: + raise ValueError('config section {} does not contain valid list ' + 'of seasons'.format(sectionName)) + + comparisonGridNames = config.getExpression(sectionName, + 'comparisonGrids') + + if len(comparisonGridNames) == 0: + raise ValueError('config section {} does not contain valid list ' + 'of comparison grids'.format(sectionName)) + + + fields = [field for field in fields if field['prefix'] in fieldList] + + variableList = [field['mpas'] for field in fields] + + makeTables = config.getboolean(sectionName, 'makeTables') + + if makeTables: + for regionGroup in regionGroups: + for season in seasons: + tableSubtask = WavesTableSubtask( + parentTask=self, + mpasClimatologyTask=mpasClimatologyTask, + controlConfig=controlConfig, + regionMasksTask=regionMasksTask, + regionGroup=regionGroup, + fields=fields, + season=season) + self.add_subtask(tableSubtask) + + + # the variableList variables will be added to + # mpasClimatologyTask along with the seasons. + remapClimatologySubtask = RemapMpasClimatologySubtask( + mpasClimatologyTask=mpasClimatologyTask, + parentTask=self, + climatologyName=fieldName, + variableList=variableList, + comparisonGridNames=comparisonGridNames, + seasons=seasons, + iselValues=iselValues) + + + for field in fields: + fieldPrefix = field['prefix'] + refFieldName = field['mpas'] + + if controlConfig is None: + + galleryName = field['titleName'] + refTitleLabel = None + diffTitleLabel = None + + else: + controlRunName = controlConfig.get('runs', 'mainRunName') + refTitleLabel = f'{field["titleName"]} (Control: {controlRunName})' + diffTitleLabel = 'Main - Control' + + outFileLabel = 'wave' + + for comparisonGridName in comparisonGridNames: + for season in seasons: + # make a new subtask for this season and comparison grid + subtask = PlotClimatologyMapSubtask( + parentTask=self, + season=season, + comparisonGridName=comparisonGridName, + remapMpasClimatologySubtask=remapClimatologySubtask, + controlConfig=controlConfig) + + subtask.set_plot_info( + outFileLabel=outFileLabel, + fieldNameInTitle=field['titleName'], + mpasFieldName=field['mpas'], + refFieldName=refFieldName, + refTitleLabel=refTitleLabel, + diffTitleLabel=diffTitleLabel, + unitsLabel=field['units'], + imageCaption=field['titleName'], + galleryGroup='waves', + groupSubtitle=None, + groupLink='waves', + galleryName=field['titleName']) + + self.add_subtask(subtask) + # }}} + + def setup_and_check(self): # {{{ + """ + Perform steps to set up the analysis and check for errors in the setup. + """ + # Authors + # ------- + # Steven Brus + # Xylar Asay-Davis + + # first, call setup_and_check from the base class + # (AnalysisTask), which will perform some common setup + super().setup_and_check() + + if not self.namelist.getbool('config_use_active_wave'): + + raise ValueError('*** climatologyMapWaves requires ' + 'config_use_active_wave\n' + ' to be .true. Otherwise, no ' + 'wave data is available \n' + ' for plotting.') + # }}} + # }}} + + + + +class WavesTableSubtask(AnalysisTask): + def __init__(self, parentTask, mpasClimatologyTask, controlConfig, + regionMasksTask, regionGroup, season, fields, subtaskName=None): # {{{ + """ + Construct the analysis task. + + Parameters + ---------- + parentTask : ClimatologyMapWaves + The parent task, used to get the ``taskName``, ``config`` and + ``componentName`` + + mpasClimatologyTask : MpasClimatologyTask + The task that produced the climatology to be remapped and plotted + + controlConfig : MpasAnalysisConfigParser + Configuration options for a control run (if any) + + regionMasksTask : ComputeRegionMasks + A task for computing region masks + + regionGroup : str + Region group name where each region is a row of the table + + fields : list of dict + Field information + + season : str + One of the seasons in ``constants.monthDictionary`` + + subtaskName : str, optional + The name of the subtask + """ + # Authors + # ------- + # Steven Brus + # Xylar Asay-Davis + tags = ['climatology', 'table'] + + if subtaskName is None: + subtaskName = f'table{season}{regionGroup.replace(" ","")}' + + # call the constructor from the base class (AnalysisTask) + super().__init__( + config=parentTask.config, + taskName=parentTask.taskName, + subtaskName=subtaskName, + componentName=parentTask.componentName, + tags=tags) + + config = parentTask.config + self.season = season + self.mpasClimatologyTask = mpasClimatologyTask + self.controlConfig = controlConfig + self.fields = fields + + self.masksSubtask = regionMasksTask.add_mask_subtask( + regionGroup=regionGroup) + self.iceShelfMasksFile = self.masksSubtask.geojsonFileName + + self.run_after(self.masksSubtask) + self.run_after(mpasClimatologyTask) + # }}} + + def run_task(self): # {{{ + """ + Computes and plots table of wave climatologies + """ + # Authors + # ------- + # Steven Brus + # Xylar Asay-Davis + + self.logger.info("Computing wave climatology table...") + config = self.config + + sectionName = self.taskName + #sb-: iceShelvesInTable = config.getExpression(sectionName, + #sb+: regionsInTable = config.getExpression(sectionName, + #sb-: 'iceShelvesInTable') + #sb+: 'regionsInTable') + #sb-: if len(iceShelvesInTable) == 0: + #sb+: if len(regionsInTable) == 0: + return + + #sb-: iceShelvesInTable = self.masksSubtask.expand_region_names( + #sb-: iceShelvesInTable) + #sb+: regionsInTable = self.masksSubtask.expand_region_names( + #sb+: regionsInTable) + + #sb-: meltRateFileName = get_masked_mpas_climatology_file_name( + #sb+: waveFileName = get_masked_mpas_climatology_file_name( + config, self.season, self.componentName, + #sb-: climatologyName='antarcticMeltTable') + #sb+: climatologyName='waveClimatologyTable') + + #sb-: if not os.path.exists(meltRateFileName): + #sb+: if not os.path.exists(waveFileName): + with dask.config.set(schedular='threads', + pool=ThreadPool(1)): + + # Load data: + inFileName = self.mpasClimatologyTask.get_file_name(self.season) + dsIn = xr.open_dataset(inFileName) + #sb-: mpasFieldName = 'timeMonthly_avg_landIceFreshwaterFlux' + #sb-: freshwaterFlux = dsIn[mpasFieldName] + #sb-: if 'Time' in freshwaterFlux.dims: + #sb-: freshwaterFlux = freshwaterFlux.isel(Time=0) + #sb+: mpasFieldName = self.field['mpas'] + #sb+: field = dsIn[mpasFieldName] + #sb+: if 'Time' in field.dims: + #sb+: field = field.isel(Time=0) + + regionMaskFileName = self.masksSubtask.maskFileName + + dsRegionMask = xr.open_dataset(regionMaskFileName) + + # figure out the indices of the regions to plot + regionNames = decode_strings(dsRegionMask.regionNames) + + regionIndices = [] + #sb-: for iceShelf in iceShelvesInTable: + #sb+: for region in regionsInTable: + for index, regionName in enumerate(regionNames): + #sb-: if iceShelf == regionName: + #sb+: if region == regionName: + regionIndices.append(index) + break + + # select only those regions we want to plot + dsRegionMask = dsRegionMask.isel(nRegions=regionIndices) + cellMasks = dsRegionMask.regionCellMasks.chunk({'nRegions': 10}) + + restartFileName = \ + self.runStreams.readpath('restart')[0] + + dsRestart = xr.open_dataset(restartFileName) + #sb-: areaCell = \ + #sb-: dsRestart.landIceFraction.isel(Time=0) * dsRestart.areaCell + #sb+: areaCell = dsRestart.areaCell + + #sb-: # convert from kg/s to kg/yr + #sb-: totalMeltFlux = constants.sec_per_year * \ + #sb-: (cellMasks * areaCell * freshwaterFlux).sum(dim='nCells') + #sb-: totalMeltFlux.compute() + + #sb-: totalArea = (cellMasks * areaCell).sum(dim='nCells') + #sb+: totalArea = areaCell.sum(dim='nCells') + + #sb-: # from kg/m^2/yr to m/yr + #sb-: meltRates = ((1. / constants.rho_fw) * + #sb-: (totalMeltFlux / totalArea)) + #sb-: meltRates.compute() + + #sb-: # convert from kg/yr to GT/yr + #sb-: totalMeltFlux /= constants.kg_per_GT + + #sb+: regionAverage = (areaCell * field).sum(dim='nCells') + #sb+: regionAverage.compute() + #sb+: regionAverage = regionAverage/totalArea + + + + #sb-: ds = xr.Dataset() + #sb-: ds['totalMeltFlux'] = totalMeltFlux + #sb-: ds.totalMeltFlux.attrs['units'] = 'GT a$^{-1}$' + #sb-: ds.totalMeltFlux.attrs['description'] = \ + #sb-: 'Total melt flux summed over each ice shelf or region' + #sb-: ds['meltRates'] = meltRates + #sb-: ds.meltRates.attrs['units'] = 'm a$^{-1}$' + #sb-: ds.meltRates.attrs['description'] = \ + #sb-: 'Melt rate averaged over each ice shelf or region' + + #sb-: ds['area'] = 1e-6*totalArea + #sb-: ds.meltRates.attrs['units'] = 'km$^2$' + #sb-: ds.meltRates.attrs['description'] = \ + #sb-: 'Region or ice shelf area' + + #sb+: ds = xr.Dataset() + #sb+: ds[self.field] = field + #sb+: ds[self.field].attrs['units'] = '' + #sb+: ds.totalMeltFlux.attrs['description'] = \ + #sb+: 'Total melt flux summed over each ice shelf or region' + #sb+: ds['meltRates'] = meltRates + #sb+: ds.meltRates.attrs['units'] = 'm a$^{-1}$' + #sb+: ds.meltRates.attrs['description'] = \ + #sb+: 'Melt rate averaged over each ice shelf or region' + + #sb+: ds['area'] = 1e-6*totalArea + #sb+: ds.meltRates.attrs['units'] = 'km$^2$' + #sb+: ds.meltRates.attrs['description'] = \ + #sb+: 'Region or ice shelf area' + + + ds['regionNames'] = dsRegionMask.regionNames + + write_netcdf(ds, meltRateFileName) + else: + ds = xr.open_dataset(meltRateFileName) + + mainRunName = config.get('runs', 'mainRunName') + fieldNames = ['Region', 'Area', mainRunName] + + controlConfig = self.controlConfig + if controlConfig is not None: + controlFileName = get_masked_mpas_climatology_file_name( + controlConfig, self.season, self.componentName, + climatologyName='antarcticMeltTable') + dsControl = xr.open_dataset(controlFileName) + controlRunName = controlConfig.get('runs', 'mainRunName') + fieldNames.append(controlRunName) + else: + dsControl = None + controlRunName = None + + regionNames = decode_strings(ds.regionNames) + + outDirectory = '{}/antarcticMelt/'.format( + build_config_full_path(config, 'output', 'tablesSubdirectory')) + + try: + os.makedirs(outDirectory) + except OSError: + pass + + tableFileName = '{}/antarcticMeltRateTable_{}.csv'.format(outDirectory, + self.season) + + with open(tableFileName, 'w', newline='') as csvfile: + writer = csv.DictWriter(csvfile, fieldnames=fieldNames) + + writer.writeheader() + for index, regionName in enumerate(regionNames): + row = {'Region': regionName, + 'Area': '{}'.format(ds.area[index].values), + mainRunName: '{}'.format(ds.meltRates[index].values)} + if dsControl is not None: + row[controlRunName] = \ + '{}'.format(dsControl.meltRates[index].values) + writer.writerow(row) + + tableFileName = '{}/antarcticMeltFluxTable_{}.csv'.format(outDirectory, + self.season) + + with open(tableFileName, 'w', newline='') as csvfile: + writer = csv.DictWriter(csvfile, fieldnames=fieldNames) + + writer.writeheader() + for index, regionName in enumerate(regionNames): + row = {'Region': regionName, + 'Area': '{}'.format(ds.area[index].values), + mainRunName: '{}'.format(ds.totalMeltFlux[index].values)} + if dsControl is not None: + row[controlRunName] = \ + '{}'.format(dsControl.totalMeltFlux[index].values) + writer.writerow(row) + + # }}} + # }}} + + +# vim: foldmethod=marker ai ts=4 sts=4 et sw=4 ft=python From 80105cf6ade8ce056d92a144ec914c5848d53886 Mon Sep 17 00:00:00 2001 From: Steven Brus Date: Wed, 5 Jan 2022 15:38:09 -0600 Subject: [PATCH 02/86] Add climatologyMapWaves section in default.cfg --- mpas_analysis/default.cfg | 47 +++++++++++++++++++++++++++++++++++++++ 1 file changed, 47 insertions(+) diff --git a/mpas_analysis/default.cfg b/mpas_analysis/default.cfg index 687f7f34e..1786b9b72 100755 --- a/mpas_analysis/default.cfg +++ b/mpas_analysis/default.cfg @@ -2158,6 +2158,53 @@ normArgsDifference = {'vmin': -0.2, 'vmax': 0.2} # determine the ticks automatically by default, uncomment to specify # colorbarTicksDifference = numpy.linspace(-0.2, 0.2, 9) +[climatologyMapWaves] +## options related to plotting climatology maps of Temperature and Salinity +## fields at various levels, including the sea floor against control model +## results and WOA climatological data + +# comparison grid(s) ('latlon', 'antarctic', 'arctic') on which to plot analysis +comparisonGrids = ['latlon'] + +# Months or seasons to plot (Jan, Feb, Mar, Apr, May, Jun, Jul, Aug, Sep, Oct, +# Nov, Dec, JFM, AMJ, JAS, OND, ANN) +seasons = ['ANN','JFM','JAS'] + +# a list of fields top plot for each transect. All supported fields are listed +# below +fieldList = ['significantWaveHeight', 'peakPeriod'] + +# make a tables of mean melt rates and melt fluxes for individual ice shelves? +makeTables = False + +regionGroups = ['Arctic'] + +[climatologyMapWavesSignificantWaveHeight] +## options related to plotting climatology maps of potential temperature +## at various levels, including the sea floor against control model results +## and WOA18 climatological data + +# colormap for model/observations +colormapNameResult = viridis +# whether the colormap is indexed or continuous +colormapTypeResult = continuous +# the type of norm used in the colormap +normTypeResult = linear +# A dictionary with keywords for the norm +normArgsResult = {'vmin': 0., 'vmax': 10.} +# place the ticks automatically by default +# colorbarTicksResult = numpy.linspace(-2., 10., 9) + +# colormap for differences +colormapNameDifference = balance +# whether the colormap is indexed or continuous +colormapTypeDifference = continuous +# the type of norm used in the colormap +normTypeDifference = linear +# A dictionary with keywords for the norm +normArgsDifference = {'vmin': -5., 'vmax': 5.} +# place the ticks automatically by default +# colorbarTicksDifference = numpy.linspace(-5., 5., 9) [climatologyMapWoa] ## options related to plotting climatology maps of Temperature and Salinity From 7a39eb55ac4fa0fd0b3b4ea215cdae3651bdb665 Mon Sep 17 00:00:00 2001 From: Steven Brus Date: Wed, 5 Jan 2022 15:38:36 -0600 Subject: [PATCH 03/86] Add wave analysis task and import --- mpas_analysis/__main__.py | 5 +++++ mpas_analysis/ocean/__init__.py | 3 +++ mpas_analysis/ocean/climatology_map_waves.py | 3 +-- 3 files changed, 9 insertions(+), 2 deletions(-) diff --git a/mpas_analysis/__main__.py b/mpas_analysis/__main__.py index b61acc94e..8290040d3 100755 --- a/mpas_analysis/__main__.py +++ b/mpas_analysis/__main__.py @@ -266,6 +266,11 @@ def build_analysis_list(config, controlConfig): config=config, mpasClimatologyTask=seaIceClimatologyTask, hemisphere='SH', controlConfig=controlConfig)) + # Wave Analyses + analyses.append(ocean.ClimatologyMapWaves( + config, oceanClimatologyTasks['avg'], oceanRegionMasksTask, + controlConfig)) + check_for_duplicate_names(analyses) return analyses diff --git a/mpas_analysis/ocean/__init__.py b/mpas_analysis/ocean/__init__.py index 18b5468d0..330284b53 100644 --- a/mpas_analysis/ocean/__init__.py +++ b/mpas_analysis/ocean/__init__.py @@ -57,3 +57,6 @@ from mpas_analysis.ocean.hovmoller_ocean_regions import \ HovmollerOceanRegions + +from mpas_analysis.ocean.climatology_map_waves import \ + ClimatologyMapWaves diff --git a/mpas_analysis/ocean/climatology_map_waves.py b/mpas_analysis/ocean/climatology_map_waves.py index 7dae6ee61..2be6d9b85 100644 --- a/mpas_analysis/ocean/climatology_map_waves.py +++ b/mpas_analysis/ocean/climatology_map_waves.py @@ -29,8 +29,7 @@ from mpas_analysis.shared.climatology.climatology import \ get_masked_mpas_climatology_file_name -from mpas_analysis.ocean.plot_climatology_map_subtask import \ - PlotClimatologyMapSubtask +from mpas_analysis.shared.plot import PlotClimatologyMapSubtask from mpas_analysis.shared.constants import constants From cc9a006d88a854339d0c2b6d89dae63f0d0864f8 Mon Sep 17 00:00:00 2001 From: Steven Brus Date: Fri, 7 Jan 2022 18:13:06 -0600 Subject: [PATCH 04/86] Get climatologies working --- mpas_analysis/default.cfg | 29 +- mpas_analysis/ocean/climatology_map_waves.py | 521 +++++++++---------- 2 files changed, 270 insertions(+), 280 deletions(-) diff --git a/mpas_analysis/default.cfg b/mpas_analysis/default.cfg index 1786b9b72..a3a851343 100755 --- a/mpas_analysis/default.cfg +++ b/mpas_analysis/default.cfg @@ -2172,7 +2172,7 @@ seasons = ['ANN','JFM','JAS'] # a list of fields top plot for each transect. All supported fields are listed # below -fieldList = ['significantWaveHeight', 'peakPeriod'] +fieldList = ['significantWaveHeight', 'peakWaveFrequency'] # make a tables of mean melt rates and melt fluxes for individual ice shelves? makeTables = False @@ -2206,6 +2206,33 @@ normArgsDifference = {'vmin': -5., 'vmax': 5.} # place the ticks automatically by default # colorbarTicksDifference = numpy.linspace(-5., 5., 9) +[climatologyMapWavesPeakWaveFrequency] +## options related to plotting climatology maps of potential temperature +## at various levels, including the sea floor against control model results +## and WOA18 climatological data + +# colormap for model/observations +colormapNameResult = viridis +# whether the colormap is indexed or continuous +colormapTypeResult = continuous +# the type of norm used in the colormap +normTypeResult = linear +# A dictionary with keywords for the norm +normArgsResult = {'vmin': 0.05, 'vmax':0.5} +# place the ticks automatically by default +# colorbarTicksResult = numpy.linspace(-2., 10., 9) + +# colormap for differences +colormapNameDifference = balance +# whether the colormap is indexed or continuous +colormapTypeDifference = continuous +# the type of norm used in the colormap +normTypeDifference = linear +# A dictionary with keywords for the norm +normArgsDifference = {'vmin': -5., 'vmax': 5.} +# place the ticks automatically by default +# colorbarTicksDifference = numpy.linspace(-5., 5., 9) + [climatologyMapWoa] ## options related to plotting climatology maps of Temperature and Salinity ## fields at various levels, including the sea floor against control model diff --git a/mpas_analysis/ocean/climatology_map_waves.py b/mpas_analysis/ocean/climatology_map_waves.py index 2be6d9b85..c88b1e47e 100644 --- a/mpas_analysis/ocean/climatology_map_waves.py +++ b/mpas_analysis/ocean/climatology_map_waves.py @@ -74,7 +74,7 @@ def __init__(self, config, mpasClimatologyTask, regionMasksTask, {'prefix': 'peakWaveFrequency', 'mpas': 'timeMonthly_avg_peakWaveFrequency', 'units': r's$^{-1}$', - 'titleName': 'Peak Wave Period'}] + 'titleName': 'Peak Wave Frequency'}] # call the constructor from the base class (AnalysisTask) super().__init__( @@ -100,25 +100,27 @@ def __init__(self, config, mpasClimatologyTask, regionMasksTask, raise ValueError('config section {} does not contain valid list ' 'of comparison grids'.format(sectionName)) - + fieldList = config.getExpression(sectionName, 'fieldList') fields = [field for field in fields if field['prefix'] in fieldList] variableList = [field['mpas'] for field in fields] makeTables = config.getboolean(sectionName, 'makeTables') - - if makeTables: - for regionGroup in regionGroups: - for season in seasons: - tableSubtask = WavesTableSubtask( - parentTask=self, - mpasClimatologyTask=mpasClimatologyTask, - controlConfig=controlConfig, - regionMasksTask=regionMasksTask, - regionGroup=regionGroup, - fields=fields, - season=season) - self.add_subtask(tableSubtask) + + print(variableList) + + #if makeTables: + # for regionGroup in regionGroups: + # for season in seasons: + # tableSubtask = WavesTableSubtask( + # parentTask=self, + # mpasClimatologyTask=mpasClimatologyTask, + # controlConfig=controlConfig, + # regionMasksTask=regionMasksTask, + # regionGroup=regionGroup, + # fields=fields, + # season=season) + # self.add_subtask(tableSubtask) # the variableList variables will be added to @@ -126,16 +128,20 @@ def __init__(self, config, mpasClimatologyTask, regionMasksTask, remapClimatologySubtask = RemapMpasClimatologySubtask( mpasClimatologyTask=mpasClimatologyTask, parentTask=self, - climatologyName=fieldName, + climatologyName='wave', variableList=variableList, comparisonGridNames=comparisonGridNames, seasons=seasons, - iselValues=iselValues) + iselValues=None) for field in fields: + + print(field) fieldPrefix = field['prefix'] refFieldName = field['mpas'] + upperFieldPrefix = fieldPrefix[0].upper() + fieldPrefix[1:] + configSectionName = '{}{}'.format(self.taskName, upperFieldPrefix) if controlConfig is None: @@ -148,17 +154,24 @@ def __init__(self, config, mpasClimatologyTask, regionMasksTask, refTitleLabel = f'{field["titleName"]} (Control: {controlRunName})' diffTitleLabel = 'Main - Control' - outFileLabel = 'wave' + outFileLabel = '{}Wave'.format(fieldPrefix) for comparisonGridName in comparisonGridNames: for season in seasons: + + subtaskName = 'plot{}_{}_{}'.format(upperFieldPrefix, + season, + comparisonGridName) + # make a new subtask for this season and comparison grid subtask = PlotClimatologyMapSubtask( parentTask=self, season=season, comparisonGridName=comparisonGridName, remapMpasClimatologySubtask=remapClimatologySubtask, - controlConfig=controlConfig) + controlConfig=controlConfig, + subtaskName=subtaskName) + subtask.set_plot_info( outFileLabel=outFileLabel, @@ -169,10 +182,13 @@ def __init__(self, config, mpasClimatologyTask, regionMasksTask, diffTitleLabel=diffTitleLabel, unitsLabel=field['units'], imageCaption=field['titleName'], + #galleryGroup=field['titleName'], galleryGroup='waves', groupSubtitle=None, + #groupLink='{}Waves'.format(fieldPrefix), groupLink='waves', - galleryName=field['titleName']) + galleryName=field['titleName'], + configSectionName=configSectionName) self.add_subtask(subtask) # }}} @@ -203,265 +219,212 @@ def setup_and_check(self): # {{{ -class WavesTableSubtask(AnalysisTask): - def __init__(self, parentTask, mpasClimatologyTask, controlConfig, - regionMasksTask, regionGroup, season, fields, subtaskName=None): # {{{ - """ - Construct the analysis task. - - Parameters - ---------- - parentTask : ClimatologyMapWaves - The parent task, used to get the ``taskName``, ``config`` and - ``componentName`` - - mpasClimatologyTask : MpasClimatologyTask - The task that produced the climatology to be remapped and plotted - - controlConfig : MpasAnalysisConfigParser - Configuration options for a control run (if any) - - regionMasksTask : ComputeRegionMasks - A task for computing region masks - - regionGroup : str - Region group name where each region is a row of the table - - fields : list of dict - Field information - - season : str - One of the seasons in ``constants.monthDictionary`` - - subtaskName : str, optional - The name of the subtask - """ - # Authors - # ------- - # Steven Brus - # Xylar Asay-Davis - tags = ['climatology', 'table'] - - if subtaskName is None: - subtaskName = f'table{season}{regionGroup.replace(" ","")}' - - # call the constructor from the base class (AnalysisTask) - super().__init__( - config=parentTask.config, - taskName=parentTask.taskName, - subtaskName=subtaskName, - componentName=parentTask.componentName, - tags=tags) - - config = parentTask.config - self.season = season - self.mpasClimatologyTask = mpasClimatologyTask - self.controlConfig = controlConfig - self.fields = fields - - self.masksSubtask = regionMasksTask.add_mask_subtask( - regionGroup=regionGroup) - self.iceShelfMasksFile = self.masksSubtask.geojsonFileName - - self.run_after(self.masksSubtask) - self.run_after(mpasClimatologyTask) - # }}} - - def run_task(self): # {{{ - """ - Computes and plots table of wave climatologies - """ - # Authors - # ------- - # Steven Brus - # Xylar Asay-Davis - - self.logger.info("Computing wave climatology table...") - config = self.config - - sectionName = self.taskName - #sb-: iceShelvesInTable = config.getExpression(sectionName, - #sb+: regionsInTable = config.getExpression(sectionName, - #sb-: 'iceShelvesInTable') - #sb+: 'regionsInTable') - #sb-: if len(iceShelvesInTable) == 0: - #sb+: if len(regionsInTable) == 0: - return - - #sb-: iceShelvesInTable = self.masksSubtask.expand_region_names( - #sb-: iceShelvesInTable) - #sb+: regionsInTable = self.masksSubtask.expand_region_names( - #sb+: regionsInTable) - - #sb-: meltRateFileName = get_masked_mpas_climatology_file_name( - #sb+: waveFileName = get_masked_mpas_climatology_file_name( - config, self.season, self.componentName, - #sb-: climatologyName='antarcticMeltTable') - #sb+: climatologyName='waveClimatologyTable') - - #sb-: if not os.path.exists(meltRateFileName): - #sb+: if not os.path.exists(waveFileName): - with dask.config.set(schedular='threads', - pool=ThreadPool(1)): - - # Load data: - inFileName = self.mpasClimatologyTask.get_file_name(self.season) - dsIn = xr.open_dataset(inFileName) - #sb-: mpasFieldName = 'timeMonthly_avg_landIceFreshwaterFlux' - #sb-: freshwaterFlux = dsIn[mpasFieldName] - #sb-: if 'Time' in freshwaterFlux.dims: - #sb-: freshwaterFlux = freshwaterFlux.isel(Time=0) - #sb+: mpasFieldName = self.field['mpas'] - #sb+: field = dsIn[mpasFieldName] - #sb+: if 'Time' in field.dims: - #sb+: field = field.isel(Time=0) - - regionMaskFileName = self.masksSubtask.maskFileName - - dsRegionMask = xr.open_dataset(regionMaskFileName) - - # figure out the indices of the regions to plot - regionNames = decode_strings(dsRegionMask.regionNames) - - regionIndices = [] - #sb-: for iceShelf in iceShelvesInTable: - #sb+: for region in regionsInTable: - for index, regionName in enumerate(regionNames): - #sb-: if iceShelf == regionName: - #sb+: if region == regionName: - regionIndices.append(index) - break - - # select only those regions we want to plot - dsRegionMask = dsRegionMask.isel(nRegions=regionIndices) - cellMasks = dsRegionMask.regionCellMasks.chunk({'nRegions': 10}) - - restartFileName = \ - self.runStreams.readpath('restart')[0] - - dsRestart = xr.open_dataset(restartFileName) - #sb-: areaCell = \ - #sb-: dsRestart.landIceFraction.isel(Time=0) * dsRestart.areaCell - #sb+: areaCell = dsRestart.areaCell - - #sb-: # convert from kg/s to kg/yr - #sb-: totalMeltFlux = constants.sec_per_year * \ - #sb-: (cellMasks * areaCell * freshwaterFlux).sum(dim='nCells') - #sb-: totalMeltFlux.compute() - - #sb-: totalArea = (cellMasks * areaCell).sum(dim='nCells') - #sb+: totalArea = areaCell.sum(dim='nCells') - - #sb-: # from kg/m^2/yr to m/yr - #sb-: meltRates = ((1. / constants.rho_fw) * - #sb-: (totalMeltFlux / totalArea)) - #sb-: meltRates.compute() - - #sb-: # convert from kg/yr to GT/yr - #sb-: totalMeltFlux /= constants.kg_per_GT - - #sb+: regionAverage = (areaCell * field).sum(dim='nCells') - #sb+: regionAverage.compute() - #sb+: regionAverage = regionAverage/totalArea - - - - #sb-: ds = xr.Dataset() - #sb-: ds['totalMeltFlux'] = totalMeltFlux - #sb-: ds.totalMeltFlux.attrs['units'] = 'GT a$^{-1}$' - #sb-: ds.totalMeltFlux.attrs['description'] = \ - #sb-: 'Total melt flux summed over each ice shelf or region' - #sb-: ds['meltRates'] = meltRates - #sb-: ds.meltRates.attrs['units'] = 'm a$^{-1}$' - #sb-: ds.meltRates.attrs['description'] = \ - #sb-: 'Melt rate averaged over each ice shelf or region' - - #sb-: ds['area'] = 1e-6*totalArea - #sb-: ds.meltRates.attrs['units'] = 'km$^2$' - #sb-: ds.meltRates.attrs['description'] = \ - #sb-: 'Region or ice shelf area' - - #sb+: ds = xr.Dataset() - #sb+: ds[self.field] = field - #sb+: ds[self.field].attrs['units'] = '' - #sb+: ds.totalMeltFlux.attrs['description'] = \ - #sb+: 'Total melt flux summed over each ice shelf or region' - #sb+: ds['meltRates'] = meltRates - #sb+: ds.meltRates.attrs['units'] = 'm a$^{-1}$' - #sb+: ds.meltRates.attrs['description'] = \ - #sb+: 'Melt rate averaged over each ice shelf or region' - - #sb+: ds['area'] = 1e-6*totalArea - #sb+: ds.meltRates.attrs['units'] = 'km$^2$' - #sb+: ds.meltRates.attrs['description'] = \ - #sb+: 'Region or ice shelf area' - - - ds['regionNames'] = dsRegionMask.regionNames - - write_netcdf(ds, meltRateFileName) - else: - ds = xr.open_dataset(meltRateFileName) - - mainRunName = config.get('runs', 'mainRunName') - fieldNames = ['Region', 'Area', mainRunName] - - controlConfig = self.controlConfig - if controlConfig is not None: - controlFileName = get_masked_mpas_climatology_file_name( - controlConfig, self.season, self.componentName, - climatologyName='antarcticMeltTable') - dsControl = xr.open_dataset(controlFileName) - controlRunName = controlConfig.get('runs', 'mainRunName') - fieldNames.append(controlRunName) - else: - dsControl = None - controlRunName = None - - regionNames = decode_strings(ds.regionNames) - - outDirectory = '{}/antarcticMelt/'.format( - build_config_full_path(config, 'output', 'tablesSubdirectory')) - - try: - os.makedirs(outDirectory) - except OSError: - pass - - tableFileName = '{}/antarcticMeltRateTable_{}.csv'.format(outDirectory, - self.season) - - with open(tableFileName, 'w', newline='') as csvfile: - writer = csv.DictWriter(csvfile, fieldnames=fieldNames) - - writer.writeheader() - for index, regionName in enumerate(regionNames): - row = {'Region': regionName, - 'Area': '{}'.format(ds.area[index].values), - mainRunName: '{}'.format(ds.meltRates[index].values)} - if dsControl is not None: - row[controlRunName] = \ - '{}'.format(dsControl.meltRates[index].values) - writer.writerow(row) - - tableFileName = '{}/antarcticMeltFluxTable_{}.csv'.format(outDirectory, - self.season) - - with open(tableFileName, 'w', newline='') as csvfile: - writer = csv.DictWriter(csvfile, fieldnames=fieldNames) - - writer.writeheader() - for index, regionName in enumerate(regionNames): - row = {'Region': regionName, - 'Area': '{}'.format(ds.area[index].values), - mainRunName: '{}'.format(ds.totalMeltFlux[index].values)} - if dsControl is not None: - row[controlRunName] = \ - '{}'.format(dsControl.totalMeltFlux[index].values) - writer.writerow(row) - - # }}} - # }}} +#class WavesTableSubtask(AnalysisTask): +# def __init__(self, parentTask, mpasClimatologyTask, controlConfig, +# regionMasksTask, regionGroup, season, fields, subtaskName=None): # {{{ +# """ +# Construct the analysis task. +# +# Parameters +# ---------- +# parentTask : ClimatologyMapWaves +# The parent task, used to get the ``taskName``, ``config`` and +# ``componentName`` +# +# mpasClimatologyTask : MpasClimatologyTask +# The task that produced the climatology to be remapped and plotted +# +# controlConfig : MpasAnalysisConfigParser +# Configuration options for a control run (if any) +# +# regionMasksTask : ComputeRegionMasks +# A task for computing region masks +# +# regionGroup : str +# Region group name where each region is a row of the table +# +# fields : list of dict +# Field information +# +# season : str +# One of the seasons in ``constants.monthDictionary`` +# +# subtaskName : str, optional +# The name of the subtask +# """ +# # Authors +# # ------- +# # Steven Brus +# # Xylar Asay-Davis +# tags = ['climatology', 'table'] +# +# if subtaskName is None: +# subtaskName = f'table{season}{regionGroup.replace(" ","")}' +# +# # call the constructor from the base class (AnalysisTask) +# super().__init__( +# config=parentTask.config, +# taskName=parentTask.taskName, +# subtaskName=subtaskName, +# componentName=parentTask.componentName, +# tags=tags) +# +# config = parentTask.config +# self.season = season +# self.mpasClimatologyTask = mpasClimatologyTask +# self.controlConfig = controlConfig +# self.fields = fields +# +# self.masksSubtask = regionMasksTask.add_mask_subtask( +# regionGroup=regionGroup) +# self.iceShelfMasksFile = self.masksSubtask.geojsonFileName +# +# self.run_after(self.masksSubtask) +# self.run_after(mpasClimatologyTask) +# # }}} +# +# def run_task(self): # {{{ +# """ +# Computes and plots table of wave climatologies +# """ +# # Authors +# # ------- +# # Steven Brus +# # Xylar Asay-Davis +# +# self.logger.info("Computing wave climatology table...") +# config = self.config +# +# sectionName = self.taskName +# regionsInTable = config.getExpression(sectionName, +# 'regionsInTable') +# if len(regionsInTable) == 0: +# return +# +# regionsInTable = self.masksSubtask.expand_region_names( +# regionsInTable) +# +# waveFileName = get_masked_mpas_climatology_file_name( +# config, self.season, self.componentName, +# climatologyName='waveClimatologyTable') +# +# if not os.path.exists(waveFileName): +# with dask.config.set(schedular='threads', +# pool=ThreadPool(1)): +# +# # Load data: +# inFileName = self.mpasClimatologyTask.get_file_name(self.season) +# dsIn = xr.open_dataset(inFileName) +# +# ds = xr.Dataset() +# for field in self.fields: +# mpasFieldName = field['mpas'] +# var = dsIn[mpasFieldName] +# if 'Time' in var.dims: +# var = var.isel(Time=0) +# +# regionMaskFileName = self.masksSubtask.maskFileName +# dsRegionMask = xr.open_dataset(regionMaskFileName) +# +# # figure out the indices of the regions to plot +# regionNames = decode_strings(dsRegionMask.regionNames) +# +# regionIndices = [] +# for region in regionsInTable: +# for index, regionName in enumerate(regionNames): +# if region == regionName: +# regionIndices.append(index) +# break +# +# # select only those regions we want to plot +# dsRegionMask = dsRegionMask.isel(nRegions=regionIndices) +# cellMasks = dsRegionMask.regionCellMasks.chunk({'nRegions': 10}) +# +# restartFileName = \ +# self.runStreams.readpath('restart')[0] +# +# dsRestart = xr.open_dataset(restartFileName) +# areaCell = dsRestart.areaCell +# +# regionAverage = (areaCell * field).sum(dim='nCells') +# regionAverage.compute() +# regionAverage = regionAverage/totalArea +# +# ds[mpasFieldName] = var +# ds[mpasFieldName].attrs['units'] = field['units'] +# ds[mpasFieldName].attrs['description'] = field['titleName'] +# +# ds['area'] = 1e-6*totalArea +# ds.area.attrs['units'] = 'km$^2$' +# ds.area.attrs['description'] = \ +# 'Region or ice shelf area' +# +# +# ds['regionNames'] = dsRegionMask.regionNames +# +# write_netcdf(ds, meltRateFileName) +# else: +# ds = xr.open_dataset(meltRateFileName) +# +# mainRunName = config.get('runs', 'mainRunName') +# fieldNames = ['Region', 'Area', mainRunName] +# +# controlConfig = self.controlConfig +# if controlConfig is not None: +# controlFileName = get_masked_mpas_climatology_file_name( +# controlConfig, self.season, self.componentName, +# climatologyName='antarcticMeltTable') +# dsControl = xr.open_dataset(controlFileName) +# controlRunName = controlConfig.get('runs', 'mainRunName') +# fieldNames.append(controlRunName) +# else: +# dsControl = None +# controlRunName = None +# +# regionNames = decode_strings(ds.regionNames) +# +# outDirectory = '{}/antarcticMelt/'.format( +# build_config_full_path(config, 'output', 'tablesSubdirectory')) +# +# try: +# os.makedirs(outDirectory) +# except OSError: +# pass +# +# tableFileName = '{}/antarcticMeltRateTable_{}.csv'.format(outDirectory, +# self.season) +# +# with open(tableFileName, 'w', newline='') as csvfile: +# writer = csv.DictWriter(csvfile, fieldnames=fieldNames) +# +# writer.writeheader() +# for index, regionName in enumerate(regionNames): +# row = {'Region': regionName, +# 'Area': '{}'.format(ds.area[index].values), +# mainRunName: '{}'.format(ds.meltRates[index].values)} +# if dsControl is not None: +# row[controlRunName] = \ +# '{}'.format(dsControl.meltRates[index].values) +# writer.writerow(row) +# +# tableFileName = '{}/antarcticMeltFluxTable_{}.csv'.format(outDirectory, +# self.season) +# +# with open(tableFileName, 'w', newline='') as csvfile: +# writer = csv.DictWriter(csvfile, fieldnames=fieldNames) +# +# writer.writeheader() +# for index, regionName in enumerate(regionNames): +# row = {'Region': regionName, +# 'Area': '{}'.format(ds.area[index].values), +# mainRunName: '{}'.format(ds.totalMeltFlux[index].values)} +# if dsControl is not None: +# row[controlRunName] = \ +# '{}'.format(dsControl.totalMeltFlux[index].values) +# writer.writerow(row) +# +# # }}} +# # }}} # vim: foldmethod=marker ai ts=4 sts=4 et sw=4 ft=python From a27c9b5e31b98c634bd45b64060044e612e77a48 Mon Sep 17 00:00:00 2001 From: Steven Brus Date: Mon, 10 Jan 2022 17:11:49 -0600 Subject: [PATCH 05/86] Get wave table working --- mpas_analysis/ocean/climatology_map_waves.py | 422 +++++++++---------- 1 file changed, 204 insertions(+), 218 deletions(-) diff --git a/mpas_analysis/ocean/climatology_map_waves.py b/mpas_analysis/ocean/climatology_map_waves.py index c88b1e47e..b6f444d2c 100644 --- a/mpas_analysis/ocean/climatology_map_waves.py +++ b/mpas_analysis/ocean/climatology_map_waves.py @@ -109,18 +109,17 @@ def __init__(self, config, mpasClimatologyTask, regionMasksTask, print(variableList) - #if makeTables: - # for regionGroup in regionGroups: - # for season in seasons: - # tableSubtask = WavesTableSubtask( - # parentTask=self, - # mpasClimatologyTask=mpasClimatologyTask, - # controlConfig=controlConfig, - # regionMasksTask=regionMasksTask, - # regionGroup=regionGroup, - # fields=fields, - # season=season) - # self.add_subtask(tableSubtask) + if makeTables: + #for regionGroup in regionGroups: + for season in seasons: + tableSubtask = WavesTableSubtask( + parentTask=self, + mpasClimatologyTask=mpasClimatologyTask, + controlConfig=controlConfig, + regionMasksTask=regionMasksTask, + fields=fields, + season=season) + self.add_subtask(tableSubtask) # the variableList variables will be added to @@ -219,212 +218,199 @@ def setup_and_check(self): # {{{ -#class WavesTableSubtask(AnalysisTask): -# def __init__(self, parentTask, mpasClimatologyTask, controlConfig, -# regionMasksTask, regionGroup, season, fields, subtaskName=None): # {{{ -# """ -# Construct the analysis task. -# -# Parameters -# ---------- -# parentTask : ClimatologyMapWaves -# The parent task, used to get the ``taskName``, ``config`` and -# ``componentName`` -# -# mpasClimatologyTask : MpasClimatologyTask -# The task that produced the climatology to be remapped and plotted -# -# controlConfig : MpasAnalysisConfigParser -# Configuration options for a control run (if any) -# -# regionMasksTask : ComputeRegionMasks -# A task for computing region masks -# -# regionGroup : str -# Region group name where each region is a row of the table -# -# fields : list of dict -# Field information -# -# season : str -# One of the seasons in ``constants.monthDictionary`` -# -# subtaskName : str, optional -# The name of the subtask -# """ -# # Authors -# # ------- -# # Steven Brus -# # Xylar Asay-Davis -# tags = ['climatology', 'table'] -# -# if subtaskName is None: -# subtaskName = f'table{season}{regionGroup.replace(" ","")}' -# -# # call the constructor from the base class (AnalysisTask) -# super().__init__( -# config=parentTask.config, -# taskName=parentTask.taskName, -# subtaskName=subtaskName, -# componentName=parentTask.componentName, -# tags=tags) -# -# config = parentTask.config -# self.season = season -# self.mpasClimatologyTask = mpasClimatologyTask -# self.controlConfig = controlConfig -# self.fields = fields -# -# self.masksSubtask = regionMasksTask.add_mask_subtask( -# regionGroup=regionGroup) -# self.iceShelfMasksFile = self.masksSubtask.geojsonFileName -# -# self.run_after(self.masksSubtask) -# self.run_after(mpasClimatologyTask) -# # }}} -# -# def run_task(self): # {{{ -# """ -# Computes and plots table of wave climatologies -# """ -# # Authors -# # ------- -# # Steven Brus -# # Xylar Asay-Davis -# -# self.logger.info("Computing wave climatology table...") -# config = self.config -# -# sectionName = self.taskName -# regionsInTable = config.getExpression(sectionName, -# 'regionsInTable') -# if len(regionsInTable) == 0: -# return -# -# regionsInTable = self.masksSubtask.expand_region_names( -# regionsInTable) -# -# waveFileName = get_masked_mpas_climatology_file_name( -# config, self.season, self.componentName, -# climatologyName='waveClimatologyTable') -# -# if not os.path.exists(waveFileName): -# with dask.config.set(schedular='threads', -# pool=ThreadPool(1)): -# -# # Load data: -# inFileName = self.mpasClimatologyTask.get_file_name(self.season) -# dsIn = xr.open_dataset(inFileName) -# -# ds = xr.Dataset() -# for field in self.fields: -# mpasFieldName = field['mpas'] -# var = dsIn[mpasFieldName] -# if 'Time' in var.dims: -# var = var.isel(Time=0) -# -# regionMaskFileName = self.masksSubtask.maskFileName -# dsRegionMask = xr.open_dataset(regionMaskFileName) -# -# # figure out the indices of the regions to plot -# regionNames = decode_strings(dsRegionMask.regionNames) -# -# regionIndices = [] -# for region in regionsInTable: -# for index, regionName in enumerate(regionNames): -# if region == regionName: -# regionIndices.append(index) -# break -# -# # select only those regions we want to plot -# dsRegionMask = dsRegionMask.isel(nRegions=regionIndices) -# cellMasks = dsRegionMask.regionCellMasks.chunk({'nRegions': 10}) -# -# restartFileName = \ -# self.runStreams.readpath('restart')[0] -# -# dsRestart = xr.open_dataset(restartFileName) -# areaCell = dsRestart.areaCell -# -# regionAverage = (areaCell * field).sum(dim='nCells') -# regionAverage.compute() -# regionAverage = regionAverage/totalArea -# -# ds[mpasFieldName] = var -# ds[mpasFieldName].attrs['units'] = field['units'] -# ds[mpasFieldName].attrs['description'] = field['titleName'] -# -# ds['area'] = 1e-6*totalArea -# ds.area.attrs['units'] = 'km$^2$' -# ds.area.attrs['description'] = \ -# 'Region or ice shelf area' -# -# -# ds['regionNames'] = dsRegionMask.regionNames -# -# write_netcdf(ds, meltRateFileName) -# else: -# ds = xr.open_dataset(meltRateFileName) -# -# mainRunName = config.get('runs', 'mainRunName') -# fieldNames = ['Region', 'Area', mainRunName] -# -# controlConfig = self.controlConfig -# if controlConfig is not None: -# controlFileName = get_masked_mpas_climatology_file_name( -# controlConfig, self.season, self.componentName, -# climatologyName='antarcticMeltTable') -# dsControl = xr.open_dataset(controlFileName) -# controlRunName = controlConfig.get('runs', 'mainRunName') -# fieldNames.append(controlRunName) -# else: -# dsControl = None -# controlRunName = None -# -# regionNames = decode_strings(ds.regionNames) -# -# outDirectory = '{}/antarcticMelt/'.format( -# build_config_full_path(config, 'output', 'tablesSubdirectory')) -# -# try: -# os.makedirs(outDirectory) -# except OSError: -# pass -# -# tableFileName = '{}/antarcticMeltRateTable_{}.csv'.format(outDirectory, -# self.season) -# -# with open(tableFileName, 'w', newline='') as csvfile: -# writer = csv.DictWriter(csvfile, fieldnames=fieldNames) -# -# writer.writeheader() -# for index, regionName in enumerate(regionNames): -# row = {'Region': regionName, -# 'Area': '{}'.format(ds.area[index].values), -# mainRunName: '{}'.format(ds.meltRates[index].values)} -# if dsControl is not None: -# row[controlRunName] = \ -# '{}'.format(dsControl.meltRates[index].values) -# writer.writerow(row) -# -# tableFileName = '{}/antarcticMeltFluxTable_{}.csv'.format(outDirectory, -# self.season) -# -# with open(tableFileName, 'w', newline='') as csvfile: -# writer = csv.DictWriter(csvfile, fieldnames=fieldNames) -# -# writer.writeheader() -# for index, regionName in enumerate(regionNames): -# row = {'Region': regionName, -# 'Area': '{}'.format(ds.area[index].values), -# mainRunName: '{}'.format(ds.totalMeltFlux[index].values)} -# if dsControl is not None: -# row[controlRunName] = \ -# '{}'.format(dsControl.totalMeltFlux[index].values) -# writer.writerow(row) -# -# # }}} -# # }}} +class WavesTableSubtask(AnalysisTask): + def __init__(self, parentTask, mpasClimatologyTask, controlConfig, + regionMasksTask, season, fields, subtaskName=None): # {{{ + """ + Construct the analysis task. + + Parameters + ---------- + parentTask : ClimatologyMapWaves + The parent task, used to get the ``taskName``, ``config`` and + ``componentName`` + + mpasClimatologyTask : MpasClimatologyTask + The task that produced the climatology to be remapped and plotted + + controlConfig : MpasAnalysisConfigParser + Configuration options for a control run (if any) + + regionMasksTask : ComputeRegionMasks + A task for computing region masks + + fields : list of dict + Field information + + season : str + One of the seasons in ``constants.monthDictionary`` + + subtaskName : str, optional + The name of the subtask + """ + # Authors + # ------- + # Steven Brus + # Xylar Asay-Davis + tags = ['climatology', 'table'] + + if subtaskName is None: + subtaskName = f'table{season}' + + # call the constructor from the base class (AnalysisTask) + super().__init__( + config=parentTask.config, + taskName=parentTask.taskName, + subtaskName=subtaskName, + componentName=parentTask.componentName, + tags=tags) + + config = parentTask.config + self.season = season + self.mpasClimatologyTask = mpasClimatologyTask + self.controlConfig = controlConfig + self.fields = fields + + self.masksSubtask = regionMasksTask.add_mask_subtask( + regionGroup='Arctic Sea Ice Regions') + #self.iceShelfMasksFile = self.masksSubtask.geojsonFileName + + self.run_after(self.masksSubtask) + self.run_after(mpasClimatologyTask) + # }}} + + def run_task(self): # {{{ + """ + Computes and plots table of wave climatologies + """ + # Authors + # ------- + # Steven Brus + # Xylar Asay-Davis + + self.logger.info("Computing wave climatology table...") + config = self.config + + sectionName = self.taskName + regionsInTable = config.getExpression(sectionName, + 'regionsInTable') + if len(regionsInTable) == 0: + return + + regionsInTable = self.masksSubtask.expand_region_names( + regionsInTable) + + waveFileName = get_masked_mpas_climatology_file_name( + config, self.season, self.componentName, + climatologyName='waveClimatologyTable') + + if not os.path.exists(waveFileName): + with dask.config.set(schedular='threads', + pool=ThreadPool(1)): + + # Load data: + inFileName = self.mpasClimatologyTask.get_file_name(self.season) + dsIn = xr.open_dataset(inFileName) + + ds = xr.Dataset() + for field in self.fields: + mpasFieldName = field['mpas'] + var = dsIn[mpasFieldName] + if 'Time' in var.dims: + var = var.isel(Time=0) + + regionMaskFileName = self.masksSubtask.maskFileName + dsRegionMask = xr.open_dataset(regionMaskFileName) + + # figure out the indices of the regions to plot + regionNames = decode_strings(dsRegionMask.regionNames) + + regionIndices = [] + for region in regionsInTable: + for index, regionName in enumerate(regionNames): + if region == regionName: + regionIndices.append(index) + break + + # select only those regions we want to plot + dsRegionMask = dsRegionMask.isel(nRegions=regionIndices) + cellMasks = dsRegionMask.regionCellMasks.chunk({'nRegions': 10}) + + restartFileName = \ + self.runStreams.readpath('restart')[0] + + dsRestart = xr.open_dataset(restartFileName) + areaCell = dsRestart.areaCell + + regionAverage = (cellMasks * areaCell * var).sum(dim='nCells') + regionAverage.compute() + + totalArea = (cellMasks * areaCell).sum(dim='nCells') + regionAverage = regionAverage/totalArea + regionAverage.compute() + + ds[mpasFieldName] = regionAverage + ds[mpasFieldName].attrs['units'] = field['units'] + ds[mpasFieldName].attrs['description'] = field['titleName'] + + ds['area'] = 1e-6*totalArea + ds.area.attrs['units'] = 'km$^2$' + ds.area.attrs['description'] = \ + 'Region area' + + + ds['regionNames'] = dsRegionMask.regionNames + + write_netcdf(ds, waveFileName) + else: + ds = xr.open_dataset(waveFileName) + + mainRunName = config.get('runs', 'mainRunName') + fieldNames = ['Region', 'Area', mainRunName] + + controlConfig = self.controlConfig + if controlConfig is not None: + controlFileName = get_masked_mpas_climatology_file_name( + controlConfig, self.season, self.componentName, + climatologyName='wavesTable') + dsControl = xr.open_dataset(controlFileName) + controlRunName = controlConfig.get('runs', 'mainRunName') + fieldNames.append(controlRunName) + else: + dsControl = None + controlRunName = None + + regionNames = decode_strings(ds.regionNames) + + outDirectory = '{}/waves/'.format( + build_config_full_path(config, 'output', 'tablesSubdirectory')) + + try: + os.makedirs(outDirectory) + except OSError: + pass + + for field in self.fields: + + tableFileName = '{}/wavesTable_{}_{}.csv'.format(outDirectory, + field['prefix'], + self.season) + + with open(tableFileName, 'w', newline='') as csvfile: + writer = csv.DictWriter(csvfile, fieldnames=fieldNames) + + writer.writeheader() + for index, regionName in enumerate(regionNames): + row = {'Region': regionName, + 'Area': '{}'.format(ds.area[index].values), + mainRunName: '{}'.format(ds[field['mpas']][index].values)} + if dsControl is not None: + row[controlRunName] = \ + '{}'.format(dsControl[field['mpas']][index].values) + writer.writerow(row) + + # }}} + # }}} # vim: foldmethod=marker ai ts=4 sts=4 et sw=4 ft=python From 2c0950ed49fcbca34e46ef051797d8afa5654980 Mon Sep 17 00:00:00 2001 From: Steven Brus Date: Wed, 12 Jan 2022 09:25:19 -0600 Subject: [PATCH 06/86] Add wave histograms --- mpas_analysis/ocean/climatology_map_waves.py | 131 ++++++++++++++++++- 1 file changed, 129 insertions(+), 2 deletions(-) diff --git a/mpas_analysis/ocean/climatology_map_waves.py b/mpas_analysis/ocean/climatology_map_waves.py index b6f444d2c..f7b96bf35 100644 --- a/mpas_analysis/ocean/climatology_map_waves.py +++ b/mpas_analysis/ocean/climatology_map_waves.py @@ -33,6 +33,9 @@ from mpas_analysis.shared.constants import constants +import matplotlib.pyplot as plt +import numpy as np + class ClimatologyMapWaves(AnalysisTask): # {{{ """ @@ -107,7 +110,6 @@ def __init__(self, config, mpasClimatologyTask, regionMasksTask, makeTables = config.getboolean(sectionName, 'makeTables') - print(variableList) if makeTables: #for regionGroup in regionGroups: @@ -136,7 +138,6 @@ def __init__(self, config, mpasClimatologyTask, regionMasksTask, for field in fields: - print(field) fieldPrefix = field['prefix'] refFieldName = field['mpas'] upperFieldPrefix = fieldPrefix[0].upper() + fieldPrefix[1:] @@ -409,6 +410,132 @@ def run_task(self): # {{{ '{}'.format(dsControl[field['mpas']][index].values) writer.writerow(row) + ##### Histograms ##### + + baseDirectory = config.get('input','baseDirectory') + runSubdirectory = config.get('input','runSubdirectory') + startYear = int(config.get('climatology','startYear')) + #endYear = int(config.get('climatology','endYear')) + endYear = 2090 + + seasonMonths = {'ANN':[1,2,3,4,5,6,7,8,9,10,11,12], + 'JFM':[1,2,3], + 'JAS':[7,8,9]} + + months = seasonMonths[self.season] + + filePrefix = baseDirectory+'/'+runSubdirectory+'/'+mainRunName+'.mpaso.waveOutput.' + files = [] + for year in range(startYear,endYear+1): + for month in months: + + files.append(filePrefix+str(year)+'-'+"{:02d}".format(month)+'-01_00.00.00.nc') + + + ds = xr.open_mfdataset(files, + combine='nested', + concat_dim='Time') + + regionMaskFileName = self.masksSubtask.maskFileName + dsRegionMask = xr.open_mfdataset(regionMaskFileName, parallel=True) + + # figure out the indices of the regions to plot + regionNames = decode_strings(dsRegionMask.regionNames) + + regionIndices = [] + for region in regionsInTable: + for index, regionName in enumerate(regionNames): + if region == regionName: + regionIndices.append(index) + break + + # select only those regions we want to plot + dsRegionMask = dsRegionMask.isel(nRegions=regionIndices) + cellMasks = dsRegionMask.regionCellMasks.chunk({'nRegions': 10}) + cellMasks = cellMasks.where(cellMasks > 0) + + maskedVar = (cellMasks*ds['significantWaveHeight']).compute() + + for index, regionName in enumerate(regionNames): + + fig = plt.figure() + ax = fig.add_subplot(1,1,1) + values = maskedVar.isel(nRegions=index).values.ravel() + ax.hist(values) + ax.set_title(regionName+' '+str(np.nanmean(values))) + plt.savefig('significantWaveHeight_'+self.season+'_'+regionName.replace(' ','_')+'.png') + +#class WavesRegionalDistributionsSubtask(AnalysisTask): +# def __init__(self, parentTask, mpasClimatologyTask, controlConfig, +# regionMasksTask, season, fields, subtaskName=None): # {{{ +# """ +# Construct the analysis task. +# +# Parameters +# ---------- +# parentTask : ClimatologyMapWaves +# The parent task, used to get the ``taskName``, ``config`` and +# ``componentName`` +# +# mpasClimatologyTask : MpasClimatologyTask +# The task that produced the climatology to be remapped and plotted +# +# controlConfig : MpasAnalysisConfigParser +# Configuration options for a control run (if any) +# +# regionMasksTask : ComputeRegionMasks +# A task for computing region masks +# +# fields : list of dict +# Field information +# +# season : str +# One of the seasons in ``constants.monthDictionary`` +# +# subtaskName : str, optional +# The name of the subtask +# """ +# # Authors +# # ------- +# # Steven Brus +# # Xylar Asay-Davis +# tags = ['climatology', 'distributions'] +# +# if subtaskName is None: +# subtaskName = f'table{season}' +# +# # call the constructor from the base class (AnalysisTask) +# super().__init__( +# config=parentTask.config, +# taskName=parentTask.taskName, +# subtaskName=subtaskName, +# componentName=parentTask.componentName, +# tags=tags) +# +# config = parentTask.config +# self.season = season +# self.mpasClimatologyTask = mpasClimatologyTask +# self.controlConfig = controlConfig +# self.fields = fields +# self.masksSubtask = regionMasksTask +# +# self.run_after(mpasClimatologyTask) +# # }}} +# +# def run_task(self): # {{{ +# """ +# Computes and plots table of wave climatologies +# """ +# # Authors +# # ------- +# # Steven Brus +# # Xylar Asay-Davis +# +# self.logger.info("Computing wave climatology table...") +# config = self.config +# +# sectionName = self.taskName + # }}} # }}} From bfa5d691ef6122b03fdb22b6eab3bec7846c31ab Mon Sep 17 00:00:00 2001 From: Steven Brus Date: Wed, 12 Jan 2022 17:06:38 -0600 Subject: [PATCH 07/86] Histogram updates and freq -> period conversion --- mpas_analysis/ocean/climatology_map_waves.py | 158 ++++++++----------- 1 file changed, 64 insertions(+), 94 deletions(-) diff --git a/mpas_analysis/ocean/climatology_map_waves.py b/mpas_analysis/ocean/climatology_map_waves.py index f7b96bf35..14bb029da 100644 --- a/mpas_analysis/ocean/climatology_map_waves.py +++ b/mpas_analysis/ocean/climatology_map_waves.py @@ -76,8 +76,13 @@ def __init__(self, config, mpasClimatologyTask, regionMasksTask, 'titleName': 'Significant Wave Height'}, {'prefix': 'peakWaveFrequency', 'mpas': 'timeMonthly_avg_peakWaveFrequency', - 'units': r's$^{-1}$', - 'titleName': 'Peak Wave Frequency'}] + 'units': r's', + 'titleName': 'Peak Wave Period'}, + #{'prefix': 'peakWavePeriod', + # 'mpas': 'timeMonthly_avg_peakWavePeriod', + # 'units': r's', + # 'titleName': 'Peak Wave Period'}, + ] # call the constructor from the base class (AnalysisTask) super().__init__( @@ -126,7 +131,8 @@ def __init__(self, config, mpasClimatologyTask, regionMasksTask, # the variableList variables will be added to # mpasClimatologyTask along with the seasons. - remapClimatologySubtask = RemapMpasClimatologySubtask( + #remapClimatologySubtask = RemapMpasClimatologySubtask( + remapClimatologySubtask = RemapMpasWavesClimatology( mpasClimatologyTask=mpasClimatologyTask, parentTask=self, climatologyName='wave', @@ -217,6 +223,19 @@ def setup_and_check(self): # {{{ # }}} +class RemapMpasWavesClimatology(RemapMpasClimatologySubtask): # {{{ + + + def customize_masked_climatology(self, climatology, season): # {{{ + + climatology['timeMonthly_avg_peakWaveFrequency'] = 1.0/climatology['timeMonthly_avg_peakWaveFrequency'] + + return climatology + + # }}} + # }}} + + class WavesTableSubtask(AnalysisTask): @@ -402,9 +421,13 @@ def run_task(self): # {{{ writer.writeheader() for index, regionName in enumerate(regionNames): + if field['mpas'] == 'timeMonthly_avg_peakWaveFrequency': + var = 1.0/ds[field['mpas']][index].values + else: + var = ds[field['mpas']][index].values row = {'Region': regionName, 'Area': '{}'.format(ds.area[index].values), - mainRunName: '{}'.format(ds[field['mpas']][index].values)} + mainRunName: '{}'.format(var)} if dsControl is not None: row[controlRunName] = \ '{}'.format(dsControl[field['mpas']][index].values) @@ -415,8 +438,7 @@ def run_task(self): # {{{ baseDirectory = config.get('input','baseDirectory') runSubdirectory = config.get('input','runSubdirectory') startYear = int(config.get('climatology','startYear')) - #endYear = int(config.get('climatology','endYear')) - endYear = 2090 + endYear = int(config.get('climatology','endYear')) seasonMonths = {'ANN':[1,2,3,4,5,6,7,8,9,10,11,12], 'JFM':[1,2,3], @@ -428,16 +450,17 @@ def run_task(self): # {{{ files = [] for year in range(startYear,endYear+1): for month in months: - files.append(filePrefix+str(year)+'-'+"{:02d}".format(month)+'-01_00.00.00.nc') ds = xr.open_mfdataset(files, + chunks={'Time': 100}, combine='nested', - concat_dim='Time') + concat_dim='Time', + parallel=True) regionMaskFileName = self.masksSubtask.maskFileName - dsRegionMask = xr.open_mfdataset(regionMaskFileName, parallel=True) + dsRegionMask = xr.open_dataset(regionMaskFileName) # figure out the indices of the regions to plot regionNames = decode_strings(dsRegionMask.regionNames) @@ -454,90 +477,37 @@ def run_task(self): # {{{ cellMasks = dsRegionMask.regionCellMasks.chunk({'nRegions': 10}) cellMasks = cellMasks.where(cellMasks > 0) - maskedVar = (cellMasks*ds['significantWaveHeight']).compute() - - for index, regionName in enumerate(regionNames): - - fig = plt.figure() - ax = fig.add_subplot(1,1,1) - values = maskedVar.isel(nRegions=index).values.ravel() - ax.hist(values) - ax.set_title(regionName+' '+str(np.nanmean(values))) - plt.savefig('significantWaveHeight_'+self.season+'_'+regionName.replace(' ','_')+'.png') - -#class WavesRegionalDistributionsSubtask(AnalysisTask): -# def __init__(self, parentTask, mpasClimatologyTask, controlConfig, -# regionMasksTask, season, fields, subtaskName=None): # {{{ -# """ -# Construct the analysis task. -# -# Parameters -# ---------- -# parentTask : ClimatologyMapWaves -# The parent task, used to get the ``taskName``, ``config`` and -# ``componentName`` -# -# mpasClimatologyTask : MpasClimatologyTask -# The task that produced the climatology to be remapped and plotted -# -# controlConfig : MpasAnalysisConfigParser -# Configuration options for a control run (if any) -# -# regionMasksTask : ComputeRegionMasks -# A task for computing region masks -# -# fields : list of dict -# Field information -# -# season : str -# One of the seasons in ``constants.monthDictionary`` -# -# subtaskName : str, optional -# The name of the subtask -# """ -# # Authors -# # ------- -# # Steven Brus -# # Xylar Asay-Davis -# tags = ['climatology', 'distributions'] -# -# if subtaskName is None: -# subtaskName = f'table{season}' -# -# # call the constructor from the base class (AnalysisTask) -# super().__init__( -# config=parentTask.config, -# taskName=parentTask.taskName, -# subtaskName=subtaskName, -# componentName=parentTask.componentName, -# tags=tags) -# -# config = parentTask.config -# self.season = season -# self.mpasClimatologyTask = mpasClimatologyTask -# self.controlConfig = controlConfig -# self.fields = fields -# self.masksSubtask = regionMasksTask -# -# self.run_after(mpasClimatologyTask) -# # }}} -# -# def run_task(self): # {{{ -# """ -# Computes and plots table of wave climatologies -# """ -# # Authors -# # ------- -# # Steven Brus -# # Xylar Asay-Davis -# -# self.logger.info("Computing wave climatology table...") -# config = self.config -# -# sectionName = self.taskName - - # }}} - # }}} + for field in self.fields: + print('computing historgram: '+field['prefix']+'_'+self.season) + with dask.config.set(schedular='threads', + pool=ThreadPool(1)): + if field['mpas'] == 'timeMonthly_avg_peakWaveFrequency': + maskedVar = (cellMasks*(1.0/ds[field['prefix']])).compute() + varRange=(0.0,15.0) + else: + maskedVar = (cellMasks*ds[field['prefix']]).compute() + varRange=(0.0,10.0) -# vim: foldmethod=marker ai ts=4 sts=4 et sw=4 ft=python + for index, regionName in enumerate(regionNames): + print(' '+regionName) + + fig = plt.figure() + ax = fig.add_subplot(1,1,1) + values = maskedVar.isel(nRegions=index).values.ravel() + ax.hist(values,range=varRange,bins=20,density=True) + ax.set_title(regionName+' mean:'+'{:4.2f}'.format(np.nanmean(values))) + ax.set_ylabel('Probability density') + ax.set_xlabel(field['units']) + plt.savefig(outDirectory+'/'+field['prefix']+'_'+self.season+'_'+regionName.replace(' ','_')+'.png') + f = open(outDirectory+'/'+field['prefix']+'_'+self.season+'_'+regionName.replace(' ','_')+'.txt','w') + heights = [patch.get_height() for patch in ax.patches] + for h in heights: + f.write(str(h)+'\n') + f.close() + plt.close() + ds.close() + + + + # vim: foldmethod=marker ai ts=4 sts=4 et sw=4 ft=python From 1938a53d7acc38a1a58fa353f16b64bba8f9d2bb Mon Sep 17 00:00:00 2001 From: Steven Brus Date: Fri, 14 Jan 2022 15:09:26 -0600 Subject: [PATCH 08/86] Update default.cgf --- mpas_analysis/default.cfg | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/mpas_analysis/default.cfg b/mpas_analysis/default.cfg index a3a851343..589f469c4 100755 --- a/mpas_analysis/default.cfg +++ b/mpas_analysis/default.cfg @@ -2177,7 +2177,7 @@ fieldList = ['significantWaveHeight', 'peakWaveFrequency'] # make a tables of mean melt rates and melt fluxes for individual ice shelves? makeTables = False -regionGroups = ['Arctic'] +regionGroups = ['Arctic Sea Ice Regions'] [climatologyMapWavesSignificantWaveHeight] ## options related to plotting climatology maps of potential temperature @@ -2191,7 +2191,7 @@ colormapTypeResult = continuous # the type of norm used in the colormap normTypeResult = linear # A dictionary with keywords for the norm -normArgsResult = {'vmin': 0., 'vmax': 10.} +normArgsResult = {'vmin': 0., 'vmax': 5.} # place the ticks automatically by default # colorbarTicksResult = numpy.linspace(-2., 10., 9) @@ -2212,13 +2212,13 @@ normArgsDifference = {'vmin': -5., 'vmax': 5.} ## and WOA18 climatological data # colormap for model/observations -colormapNameResult = viridis +colormapNameResult = plasma # whether the colormap is indexed or continuous colormapTypeResult = continuous # the type of norm used in the colormap normTypeResult = linear # A dictionary with keywords for the norm -normArgsResult = {'vmin': 0.05, 'vmax':0.5} +normArgsResult = {'vmin': 0.0, 'vmax':15.0} # place the ticks automatically by default # colorbarTicksResult = numpy.linspace(-2., 10., 9) From 7a8bb15130345ab23a04c0e0e423916818c107a3 Mon Sep 17 00:00:00 2001 From: Steven Brus Date: Fri, 14 Jan 2022 15:10:50 -0600 Subject: [PATCH 09/86] Output width and x location vaules for histograms --- mpas_analysis/ocean/climatology_map_waves.py | 6 ++++-- 1 file changed, 4 insertions(+), 2 deletions(-) diff --git a/mpas_analysis/ocean/climatology_map_waves.py b/mpas_analysis/ocean/climatology_map_waves.py index 14bb029da..ac40f9fd1 100644 --- a/mpas_analysis/ocean/climatology_map_waves.py +++ b/mpas_analysis/ocean/climatology_map_waves.py @@ -502,8 +502,10 @@ def run_task(self): # {{{ plt.savefig(outDirectory+'/'+field['prefix']+'_'+self.season+'_'+regionName.replace(' ','_')+'.png') f = open(outDirectory+'/'+field['prefix']+'_'+self.season+'_'+regionName.replace(' ','_')+'.txt','w') heights = [patch.get_height() for patch in ax.patches] - for h in heights: - f.write(str(h)+'\n') + widths = [patch.get_width() for patch in ax.patches] + xloc = [patch.get_xy()[0] for patch in ax.patches] + for h,w,x in zip(heights,widths,xloc): + f.write('{} {} {}\n'.format(x,w,h)) f.close() plt.close() ds.close() From 8d16b6f07233385cf1196b2a72b7c20a34c47168 Mon Sep 17 00:00:00 2001 From: Steven Brus Date: Fri, 14 Jan 2022 15:11:44 -0600 Subject: [PATCH 10/86] Override regionsInTable with list of regions - Hack to get around standard region group --- mpas_analysis/ocean/climatology_map_waves.py | 30 ++++++++++++++------ 1 file changed, 21 insertions(+), 9 deletions(-) diff --git a/mpas_analysis/ocean/climatology_map_waves.py b/mpas_analysis/ocean/climatology_map_waves.py index ac40f9fd1..ed6ee12f6 100644 --- a/mpas_analysis/ocean/climatology_map_waves.py +++ b/mpas_analysis/ocean/climatology_map_waves.py @@ -312,13 +312,26 @@ def run_task(self): # {{{ config = self.config sectionName = self.taskName - regionsInTable = config.getExpression(sectionName, - 'regionsInTable') - if len(regionsInTable) == 0: - return - - regionsInTable = self.masksSubtask.expand_region_names( - regionsInTable) + #regionsInTable = config.getExpression(sectionName, + # 'regionsInTable') + #if len(regionsInTable) == 0: + # return + + #regionsInTable = self.masksSubtask.expand_region_names( + # regionsInTable) + + regionsInTable = ['Baffin Bay NSIDC', + 'Greenland Sea', + 'Bering Sea', + 'Barents Sea', + 'Beaufort Sea NSIDC', + 'Canadian Archipelago NSIDC', + 'Central Arctic NSIDC', + 'Chukchi Sea NSIDC', + 'East Siberian Sea NSIDC', + 'Hudson Bay NSIDC', + 'Kara Sea', + 'Laptev Sea NSIDC'] waveFileName = get_masked_mpas_climatology_file_name( config, self.season, self.componentName, @@ -474,10 +487,9 @@ def run_task(self): # {{{ # select only those regions we want to plot dsRegionMask = dsRegionMask.isel(nRegions=regionIndices) - cellMasks = dsRegionMask.regionCellMasks.chunk({'nRegions': 10}) + cellMasks = dsRegionMask.regionCellMasks.chunk({'nRegions': 12}) cellMasks = cellMasks.where(cellMasks > 0) - for field in self.fields: print('computing historgram: '+field['prefix']+'_'+self.season) with dask.config.set(schedular='threads', From 2be3867cef778912c1ba545861066ad8f6bccbb2 Mon Sep 17 00:00:00 2001 From: Steven Brus Date: Wed, 5 Oct 2022 20:45:03 -0500 Subject: [PATCH 11/86] Add ERA5 comparision --- mpas_analysis/default.cfg | 6 +- mpas_analysis/ocean/climatology_map_waves.py | 170 +++++++++++++++++-- 2 files changed, 161 insertions(+), 15 deletions(-) diff --git a/mpas_analysis/default.cfg b/mpas_analysis/default.cfg index 589f469c4..b0c3ae507 100755 --- a/mpas_analysis/default.cfg +++ b/mpas_analysis/default.cfg @@ -520,6 +520,7 @@ alkSubdirectory = BGC/ALK ph_3dSubdirectory = BGC/pH_3D pco2surfaceSubdirectory = BGC/pCO2surface chlSubdirectory = BGC/Chl +waveSubdirectory = WAVE # interpolation order for observations. Likely values are # 'bilinear', 'neareststod' (nearest neighbor) or 'conserve' @@ -2179,6 +2180,9 @@ makeTables = False regionGroups = ['Arctic Sea Ice Regions'] +obsStartYear = 1950 +obsEndYear = 1978 + [climatologyMapWavesSignificantWaveHeight] ## options related to plotting climatology maps of potential temperature ## at various levels, including the sea floor against control model results @@ -2191,7 +2195,7 @@ colormapTypeResult = continuous # the type of norm used in the colormap normTypeResult = linear # A dictionary with keywords for the norm -normArgsResult = {'vmin': 0., 'vmax': 5.} +normArgsResult = {'vmin': 0., 'vmax': 7.} # place the ticks automatically by default # colorbarTicksResult = numpy.linspace(-2., 10., 9) diff --git a/mpas_analysis/ocean/climatology_map_waves.py b/mpas_analysis/ocean/climatology_map_waves.py index ed6ee12f6..22564a197 100644 --- a/mpas_analysis/ocean/climatology_map_waves.py +++ b/mpas_analysis/ocean/climatology_map_waves.py @@ -16,7 +16,7 @@ import xarray as xr import dask from multiprocessing.pool import ThreadPool -from pyremap import ProjectionGridDescriptor +from pyremap import LatLonGridDescriptor from mpas_analysis.shared import AnalysisTask @@ -35,6 +35,8 @@ import matplotlib.pyplot as plt import numpy as np +import pandas as pd +import datetime class ClimatologyMapWaves(AnalysisTask): # {{{ @@ -73,15 +75,17 @@ def __init__(self, config, mpasClimatologyTask, regionMasksTask, fields = [{'prefix': 'significantWaveHeight', 'mpas': 'timeMonthly_avg_significantWaveHeight', 'units': r'm', - 'titleName': 'Significant Wave Height'}, + 'titleName': 'Significant Wave Height', + 'era5' : 'swh'}, {'prefix': 'peakWaveFrequency', 'mpas': 'timeMonthly_avg_peakWaveFrequency', 'units': r's', - 'titleName': 'Peak Wave Period'}, - #{'prefix': 'peakWavePeriod', - # 'mpas': 'timeMonthly_avg_peakWavePeriod', - # 'units': r's', - # 'titleName': 'Peak Wave Period'}, + 'titleName': 'Peak Wave Period', + 'era5' : 'pp1d'}, + {'prefix': 'iceFraction', + 'mpas': 'timeMonthly_avg_iceFraction', + 'units': r'', + 'titleName': 'Ice Fraction'}, ] # call the constructor from the base class (AnalysisTask) @@ -109,9 +113,13 @@ def __init__(self, config, mpasClimatologyTask, regionMasksTask, 'of comparison grids'.format(sectionName)) fieldList = config.getExpression(sectionName, 'fieldList') - fields = [field for field in fields if field['prefix'] in fieldList] + fieldsRequested = [field for field in fields if field['prefix'] in fieldList] - variableList = [field['mpas'] for field in fields] + variableListMpas = [field['mpas'] for field in fieldsRequested] + variableListObs = [field['era5'] for field in fieldsRequested] + + climStartYear = config.getint(sectionName, 'obsStartYear') + climEndYear = config.getint(sectionName, 'obsEndYear') makeTables = config.getboolean(sectionName, 'makeTables') @@ -136,29 +144,45 @@ def __init__(self, config, mpasClimatologyTask, regionMasksTask, mpasClimatologyTask=mpasClimatologyTask, parentTask=self, climatologyName='wave', - variableList=variableList, + variableList=variableListMpas, comparisonGridNames=comparisonGridNames, seasons=seasons, iselValues=None) + if controlConfig is None: + observationsDirectory = build_obs_path( + config, 'ocean', '{}Subdirectory'.format('wave')) + obsFileName = "{}/ERA5_1950_1978_new.nc".format(observationsDirectory) + + remapObservationsSubtask = RemapObservedWaveClimatology( + parentTask=self, seasons=seasons, fileName=obsFileName, + outFilePrefix='wave', + comparisonGridNames=comparisonGridNames, + variableList=variableListObs) + + else: + remapObservationsSubtask = None - for field in fields: + + + for field in fieldsRequested: fieldPrefix = field['prefix'] - refFieldName = field['mpas'] upperFieldPrefix = fieldPrefix[0].upper() + fieldPrefix[1:] configSectionName = '{}{}'.format(self.taskName, upperFieldPrefix) if controlConfig is None: - galleryName = field['titleName'] - refTitleLabel = None + refTitleLabel = "Observations (ERA 5) {:04d}-{:04d}".format( + climStartYear, climEndYear) + refFieldName = field['era5'] diffTitleLabel = None else: controlRunName = controlConfig.get('runs', 'mainRunName') refTitleLabel = f'{field["titleName"]} (Control: {controlRunName})' diffTitleLabel = 'Main - Control' + refFieldName = field['mpas'] outFileLabel = '{}Wave'.format(fieldPrefix) @@ -175,6 +199,7 @@ def __init__(self, config, mpasClimatologyTask, regionMasksTask, season=season, comparisonGridName=comparisonGridName, remapMpasClimatologySubtask=remapClimatologySubtask, + remapObsClimatologySubtask=remapObservationsSubtask, controlConfig=controlConfig, subtaskName=subtaskName) @@ -236,6 +261,123 @@ def customize_masked_climatology(self, climatology, season): # {{{ # }}} +class RemapObservedWaveClimatology(RemapObservedClimatologySubtask): # {{{ + """ + A subtask for reading and remapping waves observations + """ + # Authors + # ------- + # Steven Brus, Xylar Asay-Davis + def __init__(self, parentTask, seasons, fileName, outFilePrefix, + variableList, + comparisonGridNames=['latlon'], + subtaskName='remapObservations'): + # {{{ + ''' + Construct one analysis subtask for each plot (i.e. each season and + comparison grid) and a subtask for computing climatologies. + + Parameters + ---------- + parentTask : ``AnalysisTask`` + The parent (master) task for this subtask + + seasons : list of str + A list of seasons (keys in ``constants.monthDictionary``) over + which the climatology should be computed. + + fileName : str + The name of the observation file + + outFilePrefix : str + The prefix in front of output files and mapping files, typically + the name of the field being remapped + + variableList : list + List of observational variables to remap + + comparisonGridNames : list of {'latlon', 'antarctic', 'arctic'}, + optional + The name(s) of the comparison grid to use for remapping. + + subtaskName : str, optional + The name of the subtask + ''' + # Authors + # ------- + # Steven Brus + + self.variableList = variableList + + # call the constructor from the base class (AnalysisTask) + super().__init__(parentTask, seasons, fileName, outFilePrefix, + comparisonGridNames=['latlon'], + subtaskName='remapObservations') + # }}} + + def get_observation_descriptor(self, fileName): # {{{ + ''' + get a MeshDescriptor for the observation grid + + Parameters + ---------- + fileName : str + observation file name describing the source grid + + Returns + ------- + obsDescriptor : ``MeshDescriptor`` + The descriptor for the observation grid + ''' + # Authors + # ------- + # Steven Brus + + # create a descriptor of the observation grid using the lat/lon + # coordinates + obsDescriptor = LatLonGridDescriptor.read(fileName=fileName, + latVarName='lat', + lonVarName='lon') + return obsDescriptor # }}} + + def build_observational_dataset(self, fileName): # {{{ + ''' + read in the data sets for observations, and possibly rename some + variables and dimensions + + Parameters + ---------- + fileName : str + observation file name + + Returns + ------- + dsObs : ``xarray.Dataset`` + The observational dataset + ''' + # Authors + # ------- + # Steven Brus + + sectionName = self.taskName + climStartYear = self.config.getint(sectionName, 'obsStartYear') + climEndYear = self.config.getint(sectionName, 'obsEndYear') + timeStart = datetime.datetime(year=climStartYear, month=1, day=1) + timeEnd = datetime.datetime(year=climEndYear, month=12, day=31) + + dsObs = xr.open_dataset(fileName, decode_times=False) + units, reference_date = dsObs.time.attrs['units'].split('since') + dsObs['time'] = pd.date_range(start=reference_date, periods=dsObs.sizes['time'], freq='MS') + dsObs = dsObs.rename({'time': 'Time'}) + dsObs = dsObs.sel(Time=slice(timeStart, timeEnd)) + dsObs.coords['month'] = dsObs['Time.month'] + dsObs.coords['year'] = dsObs['Time.year'] + + dsObs = dsObs[self.variableList] + + return dsObs # }}} + + # }}} class WavesTableSubtask(AnalysisTask): From 389bfb146bb49782b4e8ba0cd4f9552c1db97418 Mon Sep 17 00:00:00 2001 From: Steven Brus Date: Wed, 5 Oct 2022 20:48:20 -0500 Subject: [PATCH 12/86] Updates to wave histograms --- mpas_analysis/ocean/climatology_map_waves.py | 21 +++++++++++++++++--- 1 file changed, 18 insertions(+), 3 deletions(-) diff --git a/mpas_analysis/ocean/climatology_map_waves.py b/mpas_analysis/ocean/climatology_map_waves.py index 22564a197..b01564c6f 100644 --- a/mpas_analysis/ocean/climatology_map_waves.py +++ b/mpas_analysis/ocean/climatology_map_waves.py @@ -126,13 +126,16 @@ def __init__(self, config, mpasClimatologyTask, regionMasksTask, if makeTables: #for regionGroup in regionGroups: + fieldListTable = config.getExpression(sectionName, 'fieldList') + fieldListTable.append('iceFraction') + fieldsTable = [field for field in fields if field['prefix'] in fieldListTable] for season in seasons: tableSubtask = WavesTableSubtask( parentTask=self, mpasClimatologyTask=mpasClimatologyTask, controlConfig=controlConfig, regionMasksTask=regionMasksTask, - fields=fields, + fields=fieldsTable, season=season) self.add_subtask(tableSubtask) @@ -490,6 +493,8 @@ def run_task(self): # {{{ ds = xr.Dataset() for field in self.fields: mpasFieldName = field['mpas'] + if mpasFieldName == 'timeMonthly_avg_iceFraction': + continue var = dsIn[mpasFieldName] if 'Time' in var.dims: var = var.isel(Time=0) @@ -567,6 +572,9 @@ def run_task(self): # {{{ for field in self.fields: + if field['mpas'] == 'timeMonthly_avg_iceFraction': + continue + tableFileName = '{}/wavesTable_{}_{}.csv'.format(outDirectory, field['prefix'], self.season) @@ -639,9 +647,16 @@ def run_task(self): # {{{ if field['mpas'] == 'timeMonthly_avg_peakWaveFrequency': maskedVar = (cellMasks*(1.0/ds[field['prefix']])).compute() varRange=(0.0,15.0) + bins = 15 + else: maskedVar = (cellMasks*ds[field['prefix']]).compute() - varRange=(0.0,10.0) + varRange=(0.0,8.0) + bins = 16 + + if field['mpas'] == 'timeMonthly_avg_iceFraction': + varRange=(0.0,1.0) + bins = 8 for index, regionName in enumerate(regionNames): print(' '+regionName) @@ -649,7 +664,7 @@ def run_task(self): # {{{ fig = plt.figure() ax = fig.add_subplot(1,1,1) values = maskedVar.isel(nRegions=index).values.ravel() - ax.hist(values,range=varRange,bins=20,density=True) + ax.hist(values,range=varRange,bins=bins,density=True) ax.set_title(regionName+' mean:'+'{:4.2f}'.format(np.nanmean(values))) ax.set_ylabel('Probability density') ax.set_xlabel(field['units']) From f358cd2e5931f24887eede8031bdfa6aa02cf281 Mon Sep 17 00:00:00 2001 From: Steven Brus Date: Fri, 11 Nov 2022 12:03:10 -0600 Subject: [PATCH 13/86] Incorporate review suggestions --- mpas_analysis/default.cfg | 27 ++--- mpas_analysis/ocean/climatology_map_waves.py | 101 +++++++++++++------ 2 files changed, 79 insertions(+), 49 deletions(-) diff --git a/mpas_analysis/default.cfg b/mpas_analysis/default.cfg index b0c3ae507..0faec6574 100755 --- a/mpas_analysis/default.cfg +++ b/mpas_analysis/default.cfg @@ -2160,9 +2160,8 @@ normArgsDifference = {'vmin': -0.2, 'vmax': 0.2} # colorbarTicksDifference = numpy.linspace(-0.2, 0.2, 9) [climatologyMapWaves] -## options related to plotting climatology maps of Temperature and Salinity -## fields at various levels, including the sea floor against control model -## results and WOA climatological data +## options related to plotting climatology maps of wave fields +## ERA5 climatological data # comparison grid(s) ('latlon', 'antarctic', 'arctic') on which to plot analysis comparisonGrids = ['latlon'] @@ -2171,22 +2170,20 @@ comparisonGrids = ['latlon'] # Nov, Dec, JFM, AMJ, JAS, OND, ANN) seasons = ['ANN','JFM','JAS'] -# a list of fields top plot for each transect. All supported fields are listed -# below -fieldList = ['significantWaveHeight', 'peakWaveFrequency'] +# a list of fields to plot. +fieldList = ['significantWaveHeight', 'peakWavePeriod'] -# make a tables of mean melt rates and melt fluxes for individual ice shelves? +# make a tables of mean wave heights in specified regions makeTables = False +# list of regions in mean wave height tables regionGroups = ['Arctic Sea Ice Regions'] -obsStartYear = 1950 -obsEndYear = 1978 +obsStartYear = 1959 +obsEndYear = 2021 [climatologyMapWavesSignificantWaveHeight] -## options related to plotting climatology maps of potential temperature -## at various levels, including the sea floor against control model results -## and WOA18 climatological data +## options related to plotting climatology maps of significant wave height # colormap for model/observations colormapNameResult = viridis @@ -2210,10 +2207,8 @@ normArgsDifference = {'vmin': -5., 'vmax': 5.} # place the ticks automatically by default # colorbarTicksDifference = numpy.linspace(-5., 5., 9) -[climatologyMapWavesPeakWaveFrequency] -## options related to plotting climatology maps of potential temperature -## at various levels, including the sea floor against control model results -## and WOA18 climatological data +[climatologyMapWavesPeakWavePeriod] +## options related to plotting climatology maps of peak wave frequency # colormap for model/observations colormapNameResult = plasma diff --git a/mpas_analysis/ocean/climatology_map_waves.py b/mpas_analysis/ocean/climatology_map_waves.py index b01564c6f..9701aa675 100644 --- a/mpas_analysis/ocean/climatology_map_waves.py +++ b/mpas_analysis/ocean/climatology_map_waves.py @@ -25,7 +25,7 @@ from mpas_analysis.shared.io import write_netcdf from mpas_analysis.shared.climatology import RemapMpasClimatologySubtask, \ - RemapObservedClimatologySubtask, get_antarctic_stereographic_projection + RemapObservedClimatologySubtask from mpas_analysis.shared.climatology.climatology import \ get_masked_mpas_climatology_file_name @@ -35,7 +35,6 @@ import matplotlib.pyplot as plt import numpy as np -import pandas as pd import datetime @@ -76,8 +75,9 @@ def __init__(self, config, mpasClimatologyTask, regionMasksTask, 'mpas': 'timeMonthly_avg_significantWaveHeight', 'units': r'm', 'titleName': 'Significant Wave Height', - 'era5' : 'swh'}, - {'prefix': 'peakWaveFrequency', + 'era5' : 'swh', + 'ss_cci': 'swh_mean'}, + {'prefix': 'peakWavePeriod', 'mpas': 'timeMonthly_avg_peakWaveFrequency', 'units': r's', 'titleName': 'Peak Wave Period', @@ -97,26 +97,27 @@ def __init__(self, config, mpasClimatologyTask, regionMasksTask, sectionName = self.taskName # read in what seasons we want to plot - seasons = config.getExpression(sectionName, 'seasons') + seasons = config.getexpression(sectionName, 'seasons') - regionGroups = config.getExpression(sectionName, 'regionGroups') + regionGroups = config.getexpression(sectionName, 'regionGroups') if len(seasons) == 0: raise ValueError('config section {} does not contain valid list ' 'of seasons'.format(sectionName)) - comparisonGridNames = config.getExpression(sectionName, + comparisonGridNames = config.getexpression(sectionName, 'comparisonGrids') if len(comparisonGridNames) == 0: raise ValueError('config section {} does not contain valid list ' 'of comparison grids'.format(sectionName)) - fieldList = config.getExpression(sectionName, 'fieldList') + fieldList = config.getexpression(sectionName, 'fieldList') fieldsRequested = [field for field in fields if field['prefix'] in fieldList] variableListMpas = [field['mpas'] for field in fieldsRequested] variableListObs = [field['era5'] for field in fieldsRequested] + #variableListObs = [field['ss_cci'] for field in fieldsRequested] climStartYear = config.getint(sectionName, 'obsStartYear') climEndYear = config.getint(sectionName, 'obsEndYear') @@ -126,7 +127,7 @@ def __init__(self, config, mpasClimatologyTask, regionMasksTask, if makeTables: #for regionGroup in regionGroups: - fieldListTable = config.getExpression(sectionName, 'fieldList') + fieldListTable = config.getexpression(sectionName, 'fieldList') fieldListTable.append('iceFraction') fieldsTable = [field for field in fields if field['prefix'] in fieldListTable] for season in seasons: @@ -142,7 +143,6 @@ def __init__(self, config, mpasClimatologyTask, regionMasksTask, # the variableList variables will be added to # mpasClimatologyTask along with the seasons. - #remapClimatologySubtask = RemapMpasClimatologySubtask( remapClimatologySubtask = RemapMpasWavesClimatology( mpasClimatologyTask=mpasClimatologyTask, parentTask=self, @@ -155,7 +155,8 @@ def __init__(self, config, mpasClimatologyTask, regionMasksTask, if controlConfig is None: observationsDirectory = build_obs_path( config, 'ocean', '{}Subdirectory'.format('wave')) - obsFileName = "{}/ERA5_1950_1978_new.nc".format(observationsDirectory) + obsFileName = "{}/ERA5_Monthly_1959-2021.nc".format(observationsDirectory) + #obsFileName = "{}/SS_CCI_1991_2018.nc".format(observationsDirectory) remapObservationsSubtask = RemapObservedWaveClimatology( parentTask=self, seasons=seasons, fileName=obsFileName, @@ -179,6 +180,7 @@ def __init__(self, config, mpasClimatologyTask, regionMasksTask, refTitleLabel = "Observations (ERA 5) {:04d}-{:04d}".format( climStartYear, climEndYear) refFieldName = field['era5'] + #refFieldName = field['ss_cci'] diffTitleLabel = None else: @@ -210,16 +212,14 @@ def __init__(self, config, mpasClimatologyTask, regionMasksTask, subtask.set_plot_info( outFileLabel=outFileLabel, fieldNameInTitle=field['titleName'], - mpasFieldName=field['mpas'], + mpasFieldName=field['prefix'], refFieldName=refFieldName, refTitleLabel=refTitleLabel, diffTitleLabel=diffTitleLabel, unitsLabel=field['units'], imageCaption=field['titleName'], - #galleryGroup=field['titleName'], galleryGroup='waves', groupSubtitle=None, - #groupLink='{}Waves'.format(fieldPrefix), groupLink='waves', galleryName=field['titleName'], configSectionName=configSectionName) @@ -252,11 +252,42 @@ def setup_and_check(self): # {{{ class RemapMpasWavesClimatology(RemapMpasClimatologySubtask): # {{{ - + """ + A subtask for reading and remapping wave climatology + """ + # Authors + # ------- + # Steven Brus, Xylar Asay-Davis def customize_masked_climatology(self, climatology, season): # {{{ + """ + Convert peak freqency to peak period + + The descriptor for the observation grid + Parameters + ---------- + climatology : ``xarray.Dataset`` object + the climatology data set + + season : str + The name of the season to be masked + + Returns + ------- + climatology : ``xarray.Dataset`` object + the modified climatology data set + """ + # Authors + # ------- + # Steven Brus + # Xylar Asay-Davis + - climatology['timeMonthly_avg_peakWaveFrequency'] = 1.0/climatology['timeMonthly_avg_peakWaveFrequency'] + if 'timeMonthly_avg_peakWaveFrequency' in climatology: + climatology['peakWavePeriod'] = 1.0/climatology['timeMonthly_avg_peakWaveFrequency'] + + if 'timeMonthly_avg_significantWaveHeight' in climatology: + climatology['significantWaveHeight'] = climatology['timeMonthly_avg_significantWaveHeight'] return climatology @@ -271,6 +302,7 @@ class RemapObservedWaveClimatology(RemapObservedClimatologySubtask): # {{{ # Authors # ------- # Steven Brus, Xylar Asay-Davis + def __init__(self, parentTask, seasons, fileName, outFilePrefix, variableList, comparisonGridNames=['latlon'], @@ -339,8 +371,8 @@ def get_observation_descriptor(self, fileName): # {{{ # create a descriptor of the observation grid using the lat/lon # coordinates obsDescriptor = LatLonGridDescriptor.read(fileName=fileName, - latVarName='lat', - lonVarName='lon') + latVarName='latitude', + lonVarName='longitude') return obsDescriptor # }}} def build_observational_dataset(self, fileName): # {{{ @@ -368,9 +400,7 @@ def build_observational_dataset(self, fileName): # {{{ timeStart = datetime.datetime(year=climStartYear, month=1, day=1) timeEnd = datetime.datetime(year=climEndYear, month=12, day=31) - dsObs = xr.open_dataset(fileName, decode_times=False) - units, reference_date = dsObs.time.attrs['units'].split('since') - dsObs['time'] = pd.date_range(start=reference_date, periods=dsObs.sizes['time'], freq='MS') + dsObs = xr.open_dataset(fileName) dsObs = dsObs.rename({'time': 'Time'}) dsObs = dsObs.sel(Time=slice(timeStart, timeEnd)) dsObs.coords['month'] = dsObs['Time.month'] @@ -384,6 +414,13 @@ def build_observational_dataset(self, fileName): # {{{ class WavesTableSubtask(AnalysisTask): + """ + A subtask for creating wave region tables + """ + # Authors + # ------- + # Steven Brus, Xylar Asay-Davis + def __init__(self, parentTask, mpasClimatologyTask, controlConfig, regionMasksTask, season, fields, subtaskName=None): # {{{ """ @@ -457,7 +494,7 @@ def run_task(self): # {{{ config = self.config sectionName = self.taskName - #regionsInTable = config.getExpression(sectionName, + #regionsInTable = config.getexpression(sectionName, # 'regionsInTable') #if len(regionsInTable) == 0: # return @@ -572,11 +609,14 @@ def run_task(self): # {{{ for field in self.fields: + prefix = field['prefix'] + mpas = field['mpas'] + if field['mpas'] == 'timeMonthly_avg_iceFraction': continue tableFileName = '{}/wavesTable_{}_{}.csv'.format(outDirectory, - field['prefix'], + prefix, self.season) with open(tableFileName, 'w', newline='') as csvfile: @@ -584,16 +624,15 @@ def run_task(self): # {{{ writer.writeheader() for index, regionName in enumerate(regionNames): - if field['mpas'] == 'timeMonthly_avg_peakWaveFrequency': - var = 1.0/ds[field['mpas']][index].values - else: - var = ds[field['mpas']][index].values + var = ds[mpas][index].values + if mpas == 'timeMonthly_avg_peakWaveFrequency': + var = 1.0/var row = {'Region': regionName, 'Area': '{}'.format(ds.area[index].values), mainRunName: '{}'.format(var)} if dsControl is not None: row[controlRunName] = \ - '{}'.format(dsControl[field['mpas']][index].values) + '{}'.format(dsControl[mpas][index].values) writer.writerow(row) ##### Histograms ##### @@ -603,11 +642,7 @@ def run_task(self): # {{{ startYear = int(config.get('climatology','startYear')) endYear = int(config.get('climatology','endYear')) - seasonMonths = {'ANN':[1,2,3,4,5,6,7,8,9,10,11,12], - 'JFM':[1,2,3], - 'JAS':[7,8,9]} - - months = seasonMonths[self.season] + months = constants.monthDictionary[self.season] filePrefix = baseDirectory+'/'+runSubdirectory+'/'+mainRunName+'.mpaso.waveOutput.' files = [] From e0c29a8765d31a7e9e14d21d725013c218fed647 Mon Sep 17 00:00:00 2001 From: Steven Brus Date: Fri, 11 Nov 2022 17:23:28 -0600 Subject: [PATCH 14/86] Add SS_CCI observataion, remove table subtask, PEP8 cleanup --- mpas_analysis/default.cfg | 8 +- mpas_analysis/ocean/climatology_map_waves.py | 633 +++++++------------ 2 files changed, 225 insertions(+), 416 deletions(-) diff --git a/mpas_analysis/default.cfg b/mpas_analysis/default.cfg index 0faec6574..c34512df1 100755 --- a/mpas_analysis/default.cfg +++ b/mpas_analysis/default.cfg @@ -2168,7 +2168,7 @@ comparisonGrids = ['latlon'] # Months or seasons to plot (Jan, Feb, Mar, Apr, May, Jun, Jul, Aug, Sep, Oct, # Nov, Dec, JFM, AMJ, JAS, OND, ANN) -seasons = ['ANN','JFM','JAS'] +seasons = ['ANN', 'JFM', 'JAS'] # a list of fields to plot. fieldList = ['significantWaveHeight', 'peakWavePeriod'] @@ -2179,8 +2179,10 @@ makeTables = False # list of regions in mean wave height tables regionGroups = ['Arctic Sea Ice Regions'] -obsStartYear = 1959 -obsEndYear = 2021 +era5ObsStartYear = 1959 +era5ObsEndYear = 2021 +SscciObsStartYear = 1991 +SscciObsEndYear = 2018 [climatologyMapWavesSignificantWaveHeight] ## options related to plotting climatology maps of significant wave height diff --git a/mpas_analysis/ocean/climatology_map_waves.py b/mpas_analysis/ocean/climatology_map_waves.py index 9701aa675..f29da096f 100644 --- a/mpas_analysis/ocean/climatology_map_waves.py +++ b/mpas_analysis/ocean/climatology_map_waves.py @@ -11,30 +11,18 @@ from __future__ import absolute_import, division, print_function, \ unicode_literals -import os -import csv import xarray as xr -import dask -from multiprocessing.pool import ThreadPool from pyremap import LatLonGridDescriptor from mpas_analysis.shared import AnalysisTask -from mpas_analysis.shared.io.utility import build_obs_path, decode_strings, \ - build_config_full_path -from mpas_analysis.shared.io import write_netcdf +from mpas_analysis.shared.io.utility import build_obs_path from mpas_analysis.shared.climatology import RemapMpasClimatologySubtask, \ RemapObservedClimatologySubtask -from mpas_analysis.shared.climatology.climatology import \ - get_masked_mpas_climatology_file_name -from mpas_analysis.shared.plot import PlotClimatologyMapSubtask +from mpas_analysis.shared.plot import PlotClimatologyMapSubtask -from mpas_analysis.shared.constants import constants - -import matplotlib.pyplot as plt -import numpy as np import datetime @@ -75,18 +63,18 @@ def __init__(self, config, mpasClimatologyTask, regionMasksTask, 'mpas': 'timeMonthly_avg_significantWaveHeight', 'units': r'm', 'titleName': 'Significant Wave Height', - 'era5' : 'swh', + 'era5': 'swh', 'ss_cci': 'swh_mean'}, {'prefix': 'peakWavePeriod', 'mpas': 'timeMonthly_avg_peakWaveFrequency', 'units': r's', 'titleName': 'Peak Wave Period', - 'era5' : 'pp1d'}, + 'era5': 'pp1d'}, {'prefix': 'iceFraction', 'mpas': 'timeMonthly_avg_iceFraction', 'units': r'', 'titleName': 'Ice Fraction'}, - ] + ] # call the constructor from the base class (AnalysisTask) super().__init__( @@ -99,47 +87,30 @@ def __init__(self, config, mpasClimatologyTask, regionMasksTask, # read in what seasons we want to plot seasons = config.getexpression(sectionName, 'seasons') - regionGroups = config.getexpression(sectionName, 'regionGroups') - if len(seasons) == 0: - raise ValueError('config section {} does not contain valid list ' - 'of seasons'.format(sectionName)) + raise ValueError(f'config section {sectionName} ' + 'does not contain valid list of seasons') comparisonGridNames = config.getexpression(sectionName, 'comparisonGrids') if len(comparisonGridNames) == 0: - raise ValueError('config section {} does not contain valid list ' - 'of comparison grids'.format(sectionName)) + raise ValueError(f'config section {sectionName} does ' + 'not contain valid list of comparison grids') fieldList = config.getexpression(sectionName, 'fieldList') - fieldsRequested = [field for field in fields if field['prefix'] in fieldList] - - variableListMpas = [field['mpas'] for field in fieldsRequested] - variableListObs = [field['era5'] for field in fieldsRequested] - #variableListObs = [field['ss_cci'] for field in fieldsRequested] - - climStartYear = config.getint(sectionName, 'obsStartYear') - climEndYear = config.getint(sectionName, 'obsEndYear') - - makeTables = config.getboolean(sectionName, 'makeTables') - - - if makeTables: - #for regionGroup in regionGroups: - fieldListTable = config.getexpression(sectionName, 'fieldList') - fieldListTable.append('iceFraction') - fieldsTable = [field for field in fields if field['prefix'] in fieldListTable] - for season in seasons: - tableSubtask = WavesTableSubtask( - parentTask=self, - mpasClimatologyTask=mpasClimatologyTask, - controlConfig=controlConfig, - regionMasksTask=regionMasksTask, - fields=fieldsTable, - season=season) - self.add_subtask(tableSubtask) + fieldsRequested = [field for field in fields + if field['prefix'] in fieldList] + variableListMpas = [field['mpas'] for field in fieldsRequested] + variableListEraObs = [field['era5'] for field in fieldsRequested] + variableListSscciObs = [field['ss_cci'] for field in fieldsRequested + if 'ss_cci' in field] + + era5ObsStartYear = config.getint(sectionName, 'era5ObsStartYear') + era5ObsEndYear = config.getint(sectionName, 'era5EndYear') + SscciObsStartYear = config.getint(sectionName, 'SscciObsStartYear') + SscciObsEndYear = config.getint(sectionName, 'Sscci5EndYear') # the variableList variables will be added to # mpasClimatologyTask along with the seasons. @@ -154,104 +125,127 @@ def __init__(self, config, mpasClimatologyTask, regionMasksTask, if controlConfig is None: observationsDirectory = build_obs_path( - config, 'ocean', '{}Subdirectory'.format('wave')) - obsFileName = "{}/ERA5_Monthly_1959-2021.nc".format(observationsDirectory) - #obsFileName = "{}/SS_CCI_1991_2018.nc".format(observationsDirectory) + config, 'ocean', 'waveSubdirectory') - remapObservationsSubtask = RemapObservedWaveClimatology( + obsFileName = f'{observationsDirectory}/ERA5_Monthly_1959-2021.nc' + remapEraObservationsSubtask = RemapEra5ObservedWaveClimatology( parentTask=self, seasons=seasons, fileName=obsFileName, - outFilePrefix='wave', + outFilePrefix='waveERA5', comparisonGridNames=comparisonGridNames, - variableList=variableListObs) + variableList=variableListEraObs, + subtaskName='remapEraObservations') + + obsFileName = f'{observationsDirectory}/SS_CCI_1991_2018.nc' + remapSscciObservationsSubtask = RemapSscciObservedWaveClimatology( + parentTask=self, seasons=seasons, fileName=obsFileName, + outFilePrefix='waveSSCCI', + comparisonGridNames=comparisonGridNames, + variableList=variableListSscciObs, + subtaskName='remapSscciObservations') else: remapObservationsSubtask = None - - for field in fieldsRequested: fieldPrefix = field['prefix'] upperFieldPrefix = fieldPrefix[0].upper() + fieldPrefix[1:] - configSectionName = '{}{}'.format(self.taskName, upperFieldPrefix) - - if controlConfig is None: - - refTitleLabel = "Observations (ERA 5) {:04d}-{:04d}".format( - climStartYear, climEndYear) - refFieldName = field['era5'] - #refFieldName = field['ss_cci'] - diffTitleLabel = None + configSectionName = f'{self.taskName}{upperFieldPrefix}' + if field['prefix'] == 'significantWaveHeight': + obs_names = ['era5', 'ss_cci'] else: - controlRunName = controlConfig.get('runs', 'mainRunName') - refTitleLabel = f'{field["titleName"]} (Control: {controlRunName})' - diffTitleLabel = 'Main - Control' - refFieldName = field['mpas'] - - outFileLabel = '{}Wave'.format(fieldPrefix) - - for comparisonGridName in comparisonGridNames: - for season in seasons: - - subtaskName = 'plot{}_{}_{}'.format(upperFieldPrefix, - season, - comparisonGridName) - - # make a new subtask for this season and comparison grid - subtask = PlotClimatologyMapSubtask( - parentTask=self, - season=season, - comparisonGridName=comparisonGridName, - remapMpasClimatologySubtask=remapClimatologySubtask, - remapObsClimatologySubtask=remapObservationsSubtask, - controlConfig=controlConfig, - subtaskName=subtaskName) - - - subtask.set_plot_info( - outFileLabel=outFileLabel, - fieldNameInTitle=field['titleName'], - mpasFieldName=field['prefix'], - refFieldName=refFieldName, - refTitleLabel=refTitleLabel, - diffTitleLabel=diffTitleLabel, - unitsLabel=field['units'], - imageCaption=field['titleName'], - galleryGroup='waves', - groupSubtitle=None, - groupLink='waves', - galleryName=field['titleName'], - configSectionName=configSectionName) - - self.add_subtask(subtask) + obs_names = ['era5'] + + for obs in obs_names: + + if controlConfig is None: + + refFieldName = field[obs] + diffTitleLabel = None + if obs == 'era5': + obs_type = 'Reanalysis' + remapObservationsSubtask = \ + remapEraObservationsSubtask + refTitleLabel = f'{obs_type} ({obs.upper()})' \ + '{era5ObsStartYear}-{era5ObsEndYear}' + elif obs == 'ss_cci': + obs_type = 'Observations' + remapObservationsSubtask = \ + remapSscciObservationsSubtask + refTitleLabel = f'{obs_type} ({obs.upper()})' \ + '{SscciObsStartYear}-{SscciObsEndYear}' + + else: + controlRunName = controlConfig.get('runs', 'mainRunName') + refTitleLabel = f'{field["titleName"]}' \ + f'(Control: {controlRunName})' + diffTitleLabel = 'Main - Control' + refFieldName = field['mpas'] + + outFileLabel = f'{fieldPrefix}Wave{obs}' + + for comparisonGridName in comparisonGridNames: + for season in seasons: + + subtaskName = f'plot{upperFieldPrefix}_{season}_' \ + '{comparisonGridName}_{obs}' + + # make a new subtask for this + # season and comparison grid + subtask = PlotClimatologyMapSubtask( + parentTask=self, + season=season, + comparisonGridName=comparisonGridName, + remapMpasClimatologySubtask=remapClimatologySubtask, + remapObsClimatologySubtask=remapObservationsSubtask, + controlConfig=controlConfig, + subtaskName=subtaskName) + + subtask.set_plot_info( + outFileLabel=outFileLabel, + fieldNameInTitle=field['titleName'], + mpasFieldName=field['prefix'], + refFieldName=refFieldName, + refTitleLabel=refTitleLabel, + diffTitleLabel=diffTitleLabel, + unitsLabel=field['units'], + imageCaption=field['titleName'], + galleryGroup='waves', + groupSubtitle=None, + groupLink='waves', + galleryName=f"{field['titleName']}" + f'({obs.upper()} {obs_type})', + configSectionName=configSectionName) + + self.add_subtask(subtask) # }}} def setup_and_check(self): # {{{ - """ - Perform steps to set up the analysis and check for errors in the setup. - """ - # Authors - # ------- - # Steven Brus - # Xylar Asay-Davis - - # first, call setup_and_check from the base class - # (AnalysisTask), which will perform some common setup - super().setup_and_check() - - if not self.namelist.getbool('config_use_active_wave'): - - raise ValueError('*** climatologyMapWaves requires ' - 'config_use_active_wave\n' - ' to be .true. Otherwise, no ' - 'wave data is available \n' - ' for plotting.') + """ + Perform steps to set up the analysis and check for errors in the setup. + """ + # Authors + # ------- + # Steven Brus + # Xylar Asay-Davis + + # first, call setup_and_check from the base class + # (AnalysisTask), which will perform some common setup + super().setup_and_check() + + if not self.namelist.getbool('config_use_active_wave'): + + raise ValueError('*** climatologyMapWaves requires ' + 'config_use_active_wave\n' + ' to be .true. Otherwise, no ' + 'wave data is available \n' + ' for plotting.') # }}} # }}} -class RemapMpasWavesClimatology(RemapMpasClimatologySubtask): # {{{ +class RemapMpasWavesClimatology(RemapMpasClimatologySubtask): # {{{ """ A subtask for reading and remapping wave climatology """ @@ -261,7 +255,7 @@ class RemapMpasWavesClimatology(RemapMpasClimatologySubtask): # {{{ def customize_masked_climatology(self, climatology, season): # {{{ """ - Convert peak freqency to peak period + Convert peak freqency to peak period The descriptor for the observation grid Parameters @@ -282,12 +276,13 @@ def customize_masked_climatology(self, climatology, season): # {{{ # Steven Brus # Xylar Asay-Davis - if 'timeMonthly_avg_peakWaveFrequency' in climatology: - climatology['peakWavePeriod'] = 1.0/climatology['timeMonthly_avg_peakWaveFrequency'] + climatology['peakWavePeriod'] = \ + 1.0/climatology['timeMonthly_avg_peakWaveFrequency'] if 'timeMonthly_avg_significantWaveHeight' in climatology: - climatology['significantWaveHeight'] = climatology['timeMonthly_avg_significantWaveHeight'] + climatology['significantWaveHeight'] = \ + climatology['timeMonthly_avg_significantWaveHeight'] return climatology @@ -295,18 +290,17 @@ def customize_masked_climatology(self, climatology, season): # {{{ # }}} -class RemapObservedWaveClimatology(RemapObservedClimatologySubtask): # {{{ +class RemapEra5ObservedWaveClimatology(RemapObservedClimatologySubtask): # {{{ """ - A subtask for reading and remapping waves observations + A subtask for reading and remapping ERA5 wave observations """ # Authors # ------- # Steven Brus, Xylar Asay-Davis def __init__(self, parentTask, seasons, fileName, outFilePrefix, - variableList, - comparisonGridNames=['latlon'], - subtaskName='remapObservations'): + variableList, subtaskName, + comparisonGridNames=['latlon']): # {{{ ''' Construct one analysis subtask for each plot (i.e. each season and @@ -347,7 +341,7 @@ def __init__(self, parentTask, seasons, fileName, outFilePrefix, # call the constructor from the base class (AnalysisTask) super().__init__(parentTask, seasons, fileName, outFilePrefix, comparisonGridNames=['latlon'], - subtaskName='remapObservations') + subtaskName=subtaskName) # }}} def get_observation_descriptor(self, fileName): # {{{ @@ -366,7 +360,7 @@ def get_observation_descriptor(self, fileName): # {{{ ''' # Authors # ------- - # Steven Brus + # Steven Brus # create a descriptor of the observation grid using the lat/lon # coordinates @@ -395,8 +389,8 @@ def build_observational_dataset(self, fileName): # {{{ # Steven Brus sectionName = self.taskName - climStartYear = self.config.getint(sectionName, 'obsStartYear') - climEndYear = self.config.getint(sectionName, 'obsEndYear') + climStartYear = self.config.getint(sectionName, 'era5ObsStartYear') + climEndYear = self.config.getint(sectionName, 'era5ObsEndYear') timeStart = datetime.datetime(year=climStartYear, month=1, day=1) timeEnd = datetime.datetime(year=climEndYear, month=12, day=31) @@ -413,307 +407,120 @@ def build_observational_dataset(self, fileName): # {{{ # }}} -class WavesTableSubtask(AnalysisTask): +class RemapSscciObservedWaveClimatology(RemapObservedClimatologySubtask): # {{{ """ - A subtask for creating wave region tables + A subtask for reading and remapping SS_CCI wave observations """ # Authors # ------- # Steven Brus, Xylar Asay-Davis - def __init__(self, parentTask, mpasClimatologyTask, controlConfig, - regionMasksTask, season, fields, subtaskName=None): # {{{ - """ - Construct the analysis task. + def __init__(self, parentTask, seasons, fileName, outFilePrefix, + variableList, subtaskName, + comparisonGridNames=['latlon']): + # {{{ + ''' + Construct one analysis subtask for each plot (i.e. each season and + comparison grid) and a subtask for computing climatologies. Parameters ---------- - parentTask : ClimatologyMapWaves - The parent task, used to get the ``taskName``, ``config`` and - ``componentName`` + parentTask : ``AnalysisTask`` + The parent (master) task for this subtask - mpasClimatologyTask : MpasClimatologyTask - The task that produced the climatology to be remapped and plotted + seasons : list of str + A list of seasons (keys in ``constants.monthDictionary``) over + which the climatology should be computed. - controlConfig : MpasAnalysisConfigParser - Configuration options for a control run (if any) + fileName : str + The name of the observation file - regionMasksTask : ComputeRegionMasks - A task for computing region masks + outFilePrefix : str + The prefix in front of output files and mapping files, typically + the name of the field being remapped - fields : list of dict - Field information + variableList : list + List of observational variables to remap - season : str - One of the seasons in ``constants.monthDictionary`` + comparisonGridNames : list of {'latlon', 'antarctic', 'arctic'}, + optional + The name(s) of the comparison grid to use for remapping. subtaskName : str, optional The name of the subtask - """ + ''' # Authors # ------- # Steven Brus - # Xylar Asay-Davis - tags = ['climatology', 'table'] - if subtaskName is None: - subtaskName = f'table{season}' + self.variableList = variableList # call the constructor from the base class (AnalysisTask) - super().__init__( - config=parentTask.config, - taskName=parentTask.taskName, - subtaskName=subtaskName, - componentName=parentTask.componentName, - tags=tags) - - config = parentTask.config - self.season = season - self.mpasClimatologyTask = mpasClimatologyTask - self.controlConfig = controlConfig - self.fields = fields - - self.masksSubtask = regionMasksTask.add_mask_subtask( - regionGroup='Arctic Sea Ice Regions') - #self.iceShelfMasksFile = self.masksSubtask.geojsonFileName - - self.run_after(self.masksSubtask) - self.run_after(mpasClimatologyTask) + super().__init__(parentTask, seasons, fileName, outFilePrefix, + comparisonGridNames=['latlon'], + subtaskName=subtaskName) # }}} - def run_task(self): # {{{ - """ - Computes and plots table of wave climatologies - """ + def get_observation_descriptor(self, fileName): # {{{ + ''' + get a MeshDescriptor for the observation grid + + Parameters + ---------- + fileName : str + observation file name describing the source grid + + Returns + ------- + obsDescriptor : ``MeshDescriptor`` + The descriptor for the observation grid + ''' # Authors # ------- # Steven Brus - # Xylar Asay-Davis - self.logger.info("Computing wave climatology table...") - config = self.config + # create a descriptor of the observation grid using the lat/lon + # coordinates + obsDescriptor = LatLonGridDescriptor.read(fileName=fileName, + latVarName='lat', + lonVarName='lon') + return obsDescriptor # }}} + + def build_observational_dataset(self, fileName): # {{{ + ''' + read in the data sets for observations, and possibly rename some + variables and dimensions + + Parameters + ---------- + fileName : str + observation file name + + Returns + ------- + dsObs : ``xarray.Dataset`` + The observational dataset + ''' + # Authors + # ------- + # Steven Brus sectionName = self.taskName - #regionsInTable = config.getexpression(sectionName, - # 'regionsInTable') - #if len(regionsInTable) == 0: - # return - - #regionsInTable = self.masksSubtask.expand_region_names( - # regionsInTable) - - regionsInTable = ['Baffin Bay NSIDC', - 'Greenland Sea', - 'Bering Sea', - 'Barents Sea', - 'Beaufort Sea NSIDC', - 'Canadian Archipelago NSIDC', - 'Central Arctic NSIDC', - 'Chukchi Sea NSIDC', - 'East Siberian Sea NSIDC', - 'Hudson Bay NSIDC', - 'Kara Sea', - 'Laptev Sea NSIDC'] - - waveFileName = get_masked_mpas_climatology_file_name( - config, self.season, self.componentName, - climatologyName='waveClimatologyTable') - - if not os.path.exists(waveFileName): - with dask.config.set(schedular='threads', - pool=ThreadPool(1)): - - # Load data: - inFileName = self.mpasClimatologyTask.get_file_name(self.season) - dsIn = xr.open_dataset(inFileName) - - ds = xr.Dataset() - for field in self.fields: - mpasFieldName = field['mpas'] - if mpasFieldName == 'timeMonthly_avg_iceFraction': - continue - var = dsIn[mpasFieldName] - if 'Time' in var.dims: - var = var.isel(Time=0) - - regionMaskFileName = self.masksSubtask.maskFileName - dsRegionMask = xr.open_dataset(regionMaskFileName) - - # figure out the indices of the regions to plot - regionNames = decode_strings(dsRegionMask.regionNames) - - regionIndices = [] - for region in regionsInTable: - for index, regionName in enumerate(regionNames): - if region == regionName: - regionIndices.append(index) - break - - # select only those regions we want to plot - dsRegionMask = dsRegionMask.isel(nRegions=regionIndices) - cellMasks = dsRegionMask.regionCellMasks.chunk({'nRegions': 10}) - - restartFileName = \ - self.runStreams.readpath('restart')[0] - - dsRestart = xr.open_dataset(restartFileName) - areaCell = dsRestart.areaCell - - regionAverage = (cellMasks * areaCell * var).sum(dim='nCells') - regionAverage.compute() - - totalArea = (cellMasks * areaCell).sum(dim='nCells') - regionAverage = regionAverage/totalArea - regionAverage.compute() - - ds[mpasFieldName] = regionAverage - ds[mpasFieldName].attrs['units'] = field['units'] - ds[mpasFieldName].attrs['description'] = field['titleName'] - - ds['area'] = 1e-6*totalArea - ds.area.attrs['units'] = 'km$^2$' - ds.area.attrs['description'] = \ - 'Region area' - - - ds['regionNames'] = dsRegionMask.regionNames - - write_netcdf(ds, waveFileName) - else: - ds = xr.open_dataset(waveFileName) - - mainRunName = config.get('runs', 'mainRunName') - fieldNames = ['Region', 'Area', mainRunName] - - controlConfig = self.controlConfig - if controlConfig is not None: - controlFileName = get_masked_mpas_climatology_file_name( - controlConfig, self.season, self.componentName, - climatologyName='wavesTable') - dsControl = xr.open_dataset(controlFileName) - controlRunName = controlConfig.get('runs', 'mainRunName') - fieldNames.append(controlRunName) - else: - dsControl = None - controlRunName = None - - regionNames = decode_strings(ds.regionNames) - - outDirectory = '{}/waves/'.format( - build_config_full_path(config, 'output', 'tablesSubdirectory')) - - try: - os.makedirs(outDirectory) - except OSError: - pass - - for field in self.fields: - - prefix = field['prefix'] - mpas = field['mpas'] - - if field['mpas'] == 'timeMonthly_avg_iceFraction': - continue - - tableFileName = '{}/wavesTable_{}_{}.csv'.format(outDirectory, - prefix, - self.season) - - with open(tableFileName, 'w', newline='') as csvfile: - writer = csv.DictWriter(csvfile, fieldnames=fieldNames) - - writer.writeheader() - for index, regionName in enumerate(regionNames): - var = ds[mpas][index].values - if mpas == 'timeMonthly_avg_peakWaveFrequency': - var = 1.0/var - row = {'Region': regionName, - 'Area': '{}'.format(ds.area[index].values), - mainRunName: '{}'.format(var)} - if dsControl is not None: - row[controlRunName] = \ - '{}'.format(dsControl[mpas][index].values) - writer.writerow(row) - - ##### Histograms ##### - - baseDirectory = config.get('input','baseDirectory') - runSubdirectory = config.get('input','runSubdirectory') - startYear = int(config.get('climatology','startYear')) - endYear = int(config.get('climatology','endYear')) - - months = constants.monthDictionary[self.season] - - filePrefix = baseDirectory+'/'+runSubdirectory+'/'+mainRunName+'.mpaso.waveOutput.' - files = [] - for year in range(startYear,endYear+1): - for month in months: - files.append(filePrefix+str(year)+'-'+"{:02d}".format(month)+'-01_00.00.00.nc') - - - ds = xr.open_mfdataset(files, - chunks={'Time': 100}, - combine='nested', - concat_dim='Time', - parallel=True) - - regionMaskFileName = self.masksSubtask.maskFileName - dsRegionMask = xr.open_dataset(regionMaskFileName) - - # figure out the indices of the regions to plot - regionNames = decode_strings(dsRegionMask.regionNames) - - regionIndices = [] - for region in regionsInTable: - for index, regionName in enumerate(regionNames): - if region == regionName: - regionIndices.append(index) - break - - # select only those regions we want to plot - dsRegionMask = dsRegionMask.isel(nRegions=regionIndices) - cellMasks = dsRegionMask.regionCellMasks.chunk({'nRegions': 12}) - cellMasks = cellMasks.where(cellMasks > 0) - - for field in self.fields: - print('computing historgram: '+field['prefix']+'_'+self.season) - with dask.config.set(schedular='threads', - pool=ThreadPool(1)): - if field['mpas'] == 'timeMonthly_avg_peakWaveFrequency': - maskedVar = (cellMasks*(1.0/ds[field['prefix']])).compute() - varRange=(0.0,15.0) - bins = 15 - - else: - maskedVar = (cellMasks*ds[field['prefix']]).compute() - varRange=(0.0,8.0) - bins = 16 - - if field['mpas'] == 'timeMonthly_avg_iceFraction': - varRange=(0.0,1.0) - bins = 8 - - for index, regionName in enumerate(regionNames): - print(' '+regionName) - - fig = plt.figure() - ax = fig.add_subplot(1,1,1) - values = maskedVar.isel(nRegions=index).values.ravel() - ax.hist(values,range=varRange,bins=bins,density=True) - ax.set_title(regionName+' mean:'+'{:4.2f}'.format(np.nanmean(values))) - ax.set_ylabel('Probability density') - ax.set_xlabel(field['units']) - plt.savefig(outDirectory+'/'+field['prefix']+'_'+self.season+'_'+regionName.replace(' ','_')+'.png') - f = open(outDirectory+'/'+field['prefix']+'_'+self.season+'_'+regionName.replace(' ','_')+'.txt','w') - heights = [patch.get_height() for patch in ax.patches] - widths = [patch.get_width() for patch in ax.patches] - xloc = [patch.get_xy()[0] for patch in ax.patches] - for h,w,x in zip(heights,widths,xloc): - f.write('{} {} {}\n'.format(x,w,h)) - f.close() - plt.close() - ds.close() - - - - # vim: foldmethod=marker ai ts=4 sts=4 et sw=4 ft=python + climStartYear = self.config.getint(sectionName, 'SscciObsStartYear') + climEndYear = self.config.getint(sectionName, 'SscciObsEndYear') + timeStart = datetime.datetime(year=climStartYear, month=1, day=1) + timeEnd = datetime.datetime(year=climEndYear, month=12, day=31) + + dsObs = xr.open_dataset(fileName) + dsObs = dsObs.rename({'time': 'Time'}) + dsObs = dsObs.sel(Time=slice(timeStart, timeEnd)) + dsObs.coords['month'] = dsObs['Time.month'] + dsObs.coords['year'] = dsObs['Time.year'] + + dsObs = dsObs[self.variableList] + + return dsObs # }}} + + # }}} + +# vim: foldmethod=marker ai ts=4 sts=4 et sw=4 ft=python From 4561503b09fe83ee9cee01cd2a7c7825370f2b2e Mon Sep 17 00:00:00 2001 From: Steven Brus Date: Fri, 11 Nov 2022 18:12:38 -0600 Subject: [PATCH 15/86] Fix f string mistake --- mpas_analysis/ocean/climatology_map_waves.py | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/mpas_analysis/ocean/climatology_map_waves.py b/mpas_analysis/ocean/climatology_map_waves.py index f29da096f..c110ee345 100644 --- a/mpas_analysis/ocean/climatology_map_waves.py +++ b/mpas_analysis/ocean/climatology_map_waves.py @@ -108,9 +108,9 @@ def __init__(self, config, mpasClimatologyTask, regionMasksTask, if 'ss_cci' in field] era5ObsStartYear = config.getint(sectionName, 'era5ObsStartYear') - era5ObsEndYear = config.getint(sectionName, 'era5EndYear') + era5ObsEndYear = config.getint(sectionName, 'era5ObsEndYear') SscciObsStartYear = config.getint(sectionName, 'SscciObsStartYear') - SscciObsEndYear = config.getint(sectionName, 'Sscci5EndYear') + SscciObsEndYear = config.getint(sectionName, 'SscciObsEndYear') # the variableList variables will be added to # mpasClimatologyTask along with the seasons. @@ -168,13 +168,13 @@ def __init__(self, config, mpasClimatologyTask, regionMasksTask, remapObservationsSubtask = \ remapEraObservationsSubtask refTitleLabel = f'{obs_type} ({obs.upper()})' \ - '{era5ObsStartYear}-{era5ObsEndYear}' + f'{era5ObsStartYear}-{era5ObsEndYear}' elif obs == 'ss_cci': obs_type = 'Observations' remapObservationsSubtask = \ remapSscciObservationsSubtask refTitleLabel = f'{obs_type} ({obs.upper()})' \ - '{SscciObsStartYear}-{SscciObsEndYear}' + f'{SscciObsStartYear}-{SscciObsEndYear}' else: controlRunName = controlConfig.get('runs', 'mainRunName') @@ -189,7 +189,7 @@ def __init__(self, config, mpasClimatologyTask, regionMasksTask, for season in seasons: subtaskName = f'plot{upperFieldPrefix}_{season}_' \ - '{comparisonGridName}_{obs}' + f'{comparisonGridName}_{obs}' # make a new subtask for this # season and comparison grid From 1a4292de9cbef622f0d8ebac7b41989c6b1ea140 Mon Sep 17 00:00:00 2001 From: Steven Brus Date: Wed, 23 Nov 2022 15:10:43 -0600 Subject: [PATCH 16/86] Remove table options from default.cfg --- mpas_analysis/default.cfg | 6 ------ 1 file changed, 6 deletions(-) diff --git a/mpas_analysis/default.cfg b/mpas_analysis/default.cfg index c34512df1..90a356a45 100755 --- a/mpas_analysis/default.cfg +++ b/mpas_analysis/default.cfg @@ -2173,12 +2173,6 @@ seasons = ['ANN', 'JFM', 'JAS'] # a list of fields to plot. fieldList = ['significantWaveHeight', 'peakWavePeriod'] -# make a tables of mean wave heights in specified regions -makeTables = False - -# list of regions in mean wave height tables -regionGroups = ['Arctic Sea Ice Regions'] - era5ObsStartYear = 1959 era5ObsEndYear = 2021 SscciObsStartYear = 1991 From 2399209b67350395a570aa2d3509b43f533a693d Mon Sep 17 00:00:00 2001 From: Steven Brus Date: Wed, 23 Nov 2022 17:24:31 -0600 Subject: [PATCH 17/86] Incorporate review suggestions and improvements --- mpas_analysis/default.cfg | 4 +-- mpas_analysis/ocean/climatology_map_waves.py | 35 ++++++++++++------- mpas_analysis/shared/interpolation/utility.py | 2 +- 3 files changed, 25 insertions(+), 16 deletions(-) diff --git a/mpas_analysis/default.cfg b/mpas_analysis/default.cfg index 90a356a45..6511608d7 100755 --- a/mpas_analysis/default.cfg +++ b/mpas_analysis/default.cfg @@ -2163,14 +2163,14 @@ normArgsDifference = {'vmin': -0.2, 'vmax': 0.2} ## options related to plotting climatology maps of wave fields ## ERA5 climatological data -# comparison grid(s) ('latlon', 'antarctic', 'arctic') on which to plot analysis +# comparison grid(s) on which to plot analysis comparisonGrids = ['latlon'] # Months or seasons to plot (Jan, Feb, Mar, Apr, May, Jun, Jul, Aug, Sep, Oct, # Nov, Dec, JFM, AMJ, JAS, OND, ANN) seasons = ['ANN', 'JFM', 'JAS'] -# a list of fields to plot. +# a list of fields to plot ('significantWaveHeight', 'peakWavePeriod') fieldList = ['significantWaveHeight', 'peakWavePeriod'] era5ObsStartYear = 1959 diff --git a/mpas_analysis/ocean/climatology_map_waves.py b/mpas_analysis/ocean/climatology_map_waves.py index c110ee345..a4d1894c5 100644 --- a/mpas_analysis/ocean/climatology_map_waves.py +++ b/mpas_analysis/ocean/climatology_map_waves.py @@ -22,6 +22,7 @@ RemapObservedClimatologySubtask from mpas_analysis.shared.plot import PlotClimatologyMapSubtask +from mpas_analysis.shared.interpolation.utility import add_periodic_lon import datetime @@ -211,10 +212,10 @@ def __init__(self, config, mpasClimatologyTask, regionMasksTask, diffTitleLabel=diffTitleLabel, unitsLabel=field['units'], imageCaption=field['titleName'], - galleryGroup='waves', + galleryGroup='Waves', groupSubtitle=None, groupLink='waves', - galleryName=f"{field['titleName']}" + galleryName=f"{field['titleName']} " f'({obs.upper()} {obs_type})', configSectionName=configSectionName) @@ -325,7 +326,7 @@ def __init__(self, parentTask, seasons, fileName, outFilePrefix, variableList : list List of observational variables to remap - comparisonGridNames : list of {'latlon', 'antarctic', 'arctic'}, + comparisonGridNames : list of str, optional The name(s) of the comparison grid to use for remapping. @@ -340,7 +341,7 @@ def __init__(self, parentTask, seasons, fileName, outFilePrefix, # call the constructor from the base class (AnalysisTask) super().__init__(parentTask, seasons, fileName, outFilePrefix, - comparisonGridNames=['latlon'], + comparisonGridNames=comparisonGridNames, subtaskName=subtaskName) # }}} @@ -360,11 +361,12 @@ def get_observation_descriptor(self, fileName): # {{{ ''' # Authors # ------- - # Steven Brus + # Steven Brus, Xylar Asay-Davis # create a descriptor of the observation grid using the lat/lon # coordinates - obsDescriptor = LatLonGridDescriptor.read(fileName=fileName, + dsObs = self.build_observational_dataset(fileName) + obsDescriptor = LatLonGridDescriptor.read(ds=dsObs, latVarName='latitude', lonVarName='longitude') return obsDescriptor # }}} @@ -386,7 +388,7 @@ def build_observational_dataset(self, fileName): # {{{ ''' # Authors # ------- - # Steven Brus + # Steven Brus, Xylar Asay-Davis sectionName = self.taskName climStartYear = self.config.getint(sectionName, 'era5ObsStartYear') @@ -402,6 +404,9 @@ def build_observational_dataset(self, fileName): # {{{ dsObs = dsObs[self.variableList] + degrees = 'degree' in dsObs.longitude.units + dsObs = add_periodic_lon(ds=dsObs, lonDim='longitude', degrees=degrees) + return dsObs # }}} # }}} @@ -442,7 +447,7 @@ def __init__(self, parentTask, seasons, fileName, outFilePrefix, variableList : list List of observational variables to remap - comparisonGridNames : list of {'latlon', 'antarctic', 'arctic'}, + comparisonGridNames : list of str, optional The name(s) of the comparison grid to use for remapping. @@ -451,13 +456,13 @@ def __init__(self, parentTask, seasons, fileName, outFilePrefix, ''' # Authors # ------- - # Steven Brus + # Steven Brus, Xylar Asay-Davis self.variableList = variableList # call the constructor from the base class (AnalysisTask) super().__init__(parentTask, seasons, fileName, outFilePrefix, - comparisonGridNames=['latlon'], + comparisonGridNames=comparisonGridNames, subtaskName=subtaskName) # }}} @@ -477,11 +482,12 @@ def get_observation_descriptor(self, fileName): # {{{ ''' # Authors # ------- - # Steven Brus + # Steven Brus, Xylar Asay-Davis # create a descriptor of the observation grid using the lat/lon # coordinates - obsDescriptor = LatLonGridDescriptor.read(fileName=fileName, + dsObs = self.build_observational_dataset(fileName) + obsDescriptor = LatLonGridDescriptor.read(ds=dsObs, latVarName='lat', lonVarName='lon') return obsDescriptor # }}} @@ -503,7 +509,7 @@ def build_observational_dataset(self, fileName): # {{{ ''' # Authors # ------- - # Steven Brus + # Steven Brus, Xylar Asay-Davis sectionName = self.taskName climStartYear = self.config.getint(sectionName, 'SscciObsStartYear') @@ -519,6 +525,9 @@ def build_observational_dataset(self, fileName): # {{{ dsObs = dsObs[self.variableList] + degrees = 'degree' in dsObs.lon.units + dsObs = add_periodic_lon(ds=dsObs, lonDim='lon', degrees=degrees) + return dsObs # }}} # }}} diff --git a/mpas_analysis/shared/interpolation/utility.py b/mpas_analysis/shared/interpolation/utility.py index 876474902..6d846cbde 100644 --- a/mpas_analysis/shared/interpolation/utility.py +++ b/mpas_analysis/shared/interpolation/utility.py @@ -19,7 +19,7 @@ def add_periodic_lon(ds, lonDim, degrees=True): in the lon dimension """ - lonRange = ds.lon[-1].values - ds.lon[0].values + lonRange = ds[lonDim][-1].values - ds[lonDim][0].values if degrees: period = 360. else: From 2504ebd1d9f4c66663ae3a2b74a7b9a0f1be64f2 Mon Sep 17 00:00:00 2001 From: Xylar Asay-Davis Date: Thu, 24 Nov 2022 09:17:44 -0600 Subject: [PATCH 18/86] Add "no_waves" to generate in test suite --- suite/setup.py | 5 +++-- suite/wc_defaults.cfg | 2 +- 2 files changed, 4 insertions(+), 3 deletions(-) diff --git a/suite/setup.py b/suite/setup.py index b74299dfe..e7f90a9e0 100755 --- a/suite/setup.py +++ b/suite/setup.py @@ -100,10 +100,11 @@ def main(): if mesh == 'QU480': generate = "['all', 'no_BGC', 'no_icebergs', 'no_index', 'no_eke',\n" \ - " 'no_landIceCavities']" + " 'no_landIceCavities', 'no_waves']" end_year = '5' elif mesh == 'oQU240wLI': - generate = "['all', 'no_BGC', 'no_icebergs', 'no_index', 'no_eke']" + generate = "['all', 'no_BGC', 'no_icebergs', 'no_index', 'no_eke', " \ + "'no_waves']" end_year = '8' else: raise ValueError(f'Unexpected mesh: {mesh}') diff --git a/suite/wc_defaults.cfg b/suite/wc_defaults.cfg index 0d7028261..a0696d6eb 100644 --- a/suite/wc_defaults.cfg +++ b/suite/wc_defaults.cfg @@ -8,4 +8,4 @@ generate = ['all', 'no_landIceCavities', 'no_BGC', 'no_icebergs', 'no_min', 'no_climatologyMapAntarcticMelt', 'no_regionalTSDiagrams', 'no_timeSeriesAntarcticMelt', 'no_timeSeriesOceanRegions', 'no_climatologyMapSose', 'no_woceTransects', 'no_soseTransects', - 'no_geojsonTransects', 'no_oceanRegionalProfiles'] + 'no_geojsonTransects', 'no_oceanRegionalProfiles', 'no_waves'] From 01733c71bb985029f227ada89b81e514dafae9d8 Mon Sep 17 00:00:00 2001 From: Steven Brus Date: Fri, 2 Dec 2022 10:04:41 -0600 Subject: [PATCH 19/86] Fix controlConfig runs --- mpas_analysis/ocean/climatology_map_waves.py | 12 ++++++++---- 1 file changed, 8 insertions(+), 4 deletions(-) diff --git a/mpas_analysis/ocean/climatology_map_waves.py b/mpas_analysis/ocean/climatology_map_waves.py index a4d1894c5..671990f59 100644 --- a/mpas_analysis/ocean/climatology_map_waves.py +++ b/mpas_analysis/ocean/climatology_map_waves.py @@ -153,7 +153,8 @@ def __init__(self, config, mpasClimatologyTask, regionMasksTask, upperFieldPrefix = fieldPrefix[0].upper() + fieldPrefix[1:] configSectionName = f'{self.taskName}{upperFieldPrefix}' - if field['prefix'] == 'significantWaveHeight': + if (field['prefix'] == 'significantWaveHeight') \ + and (controlConfig is None): obs_names = ['era5', 'ss_cci'] else: obs_names = ['era5'] @@ -177,12 +178,16 @@ def __init__(self, config, mpasClimatologyTask, regionMasksTask, refTitleLabel = f'{obs_type} ({obs.upper()})' \ f'{SscciObsStartYear}-{SscciObsEndYear}' + galleryName = f"{field['titleName']} " \ + f"({obs.upper()} {obs_type})" + else: controlRunName = controlConfig.get('runs', 'mainRunName') refTitleLabel = f'{field["titleName"]}' \ f'(Control: {controlRunName})' diffTitleLabel = 'Main - Control' - refFieldName = field['mpas'] + refFieldName = field['prefix'] + galleryName = field['titleName'] outFileLabel = f'{fieldPrefix}Wave{obs}' @@ -215,8 +220,7 @@ def __init__(self, config, mpasClimatologyTask, regionMasksTask, galleryGroup='Waves', groupSubtitle=None, groupLink='waves', - galleryName=f"{field['titleName']} " - f'({obs.upper()} {obs_type})', + galleryName=galleryName, configSectionName=configSectionName) self.add_subtask(subtask) From d1be37464ea77824394de165ecf598bf39efdd25 Mon Sep 17 00:00:00 2001 From: Xylar Asay-Davis Date: Wed, 7 Dec 2022 11:27:37 +0100 Subject: [PATCH 20/86] Loosen constraint on conda After a new release that should fix the problem with the previous version, we only need to avoid that one version. --- azure-pipelines.yml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/azure-pipelines.yml b/azure-pipelines.yml index 327a2d9f6..038615cd4 100644 --- a/azure-pipelines.yml +++ b/azure-pipelines.yml @@ -37,7 +37,7 @@ jobs: eval "$(conda shell.bash hook)" conda config --add channels conda-forge conda config --set channel_priority strict - conda install --yes "conda<22.11.0" conda-build mamba boa + conda install --yes "conda!=22.11.0" conda-build mamba boa displayName: Update conda base environment - bash: | @@ -158,7 +158,7 @@ jobs: eval "$(conda shell.bash hook)" conda config --add channels conda-forge conda config --set channel_priority strict - conda install --yes python=$PYTHON_VERSION "conda<22.11.0" conda-build mamba boa + conda install --yes python=$PYTHON_VERSION "conda!=22.11.0" conda-build mamba boa displayName: Update conda base environment - bash: | @@ -213,7 +213,7 @@ jobs: eval "$(conda shell.bash hook)" conda config --add channels conda-forge conda config --set channel_priority strict - conda install --yes "conda<22.11.0" conda-build mamba boa + conda install --yes "conda!=22.11.0" conda-build mamba boa displayName: Update conda base environment - bash: | From 859e6bdebf042f26c47f72adf5e990f937d36c88 Mon Sep 17 00:00:00 2001 From: Steven Brus Date: Wed, 7 Dec 2022 10:25:52 -0600 Subject: [PATCH 21/86] Separate wave observation directories --- mpas_analysis/default.cfg | 3 ++- mpas_analysis/ocean/climatology_map_waves.py | 5 ++++- 2 files changed, 6 insertions(+), 2 deletions(-) diff --git a/mpas_analysis/default.cfg b/mpas_analysis/default.cfg index 6511608d7..b8666c70f 100755 --- a/mpas_analysis/default.cfg +++ b/mpas_analysis/default.cfg @@ -520,7 +520,8 @@ alkSubdirectory = BGC/ALK ph_3dSubdirectory = BGC/pH_3D pco2surfaceSubdirectory = BGC/pCO2surface chlSubdirectory = BGC/Chl -waveSubdirectory = WAVE +era5Subdirectory = ERA5 +sscciSubdirectory = SSCCI # interpolation order for observations. Likely values are # 'bilinear', 'neareststod' (nearest neighbor) or 'conserve' diff --git a/mpas_analysis/ocean/climatology_map_waves.py b/mpas_analysis/ocean/climatology_map_waves.py index 671990f59..e31ca35cc 100644 --- a/mpas_analysis/ocean/climatology_map_waves.py +++ b/mpas_analysis/ocean/climatology_map_waves.py @@ -126,7 +126,7 @@ def __init__(self, config, mpasClimatologyTask, regionMasksTask, if controlConfig is None: observationsDirectory = build_obs_path( - config, 'ocean', 'waveSubdirectory') + config, 'ocean', 'era5Subdirectory') obsFileName = f'{observationsDirectory}/ERA5_Monthly_1959-2021.nc' remapEraObservationsSubtask = RemapEra5ObservedWaveClimatology( @@ -136,6 +136,9 @@ def __init__(self, config, mpasClimatologyTask, regionMasksTask, variableList=variableListEraObs, subtaskName='remapEraObservations') + observationsDirectory = build_obs_path( + config, 'ocean', 'sscciSubdirectory') + obsFileName = f'{observationsDirectory}/SS_CCI_1991_2018.nc' remapSscciObservationsSubtask = RemapSscciObservedWaveClimatology( parentTask=self, seasons=seasons, fileName=obsFileName, From e7ad84d04b89bc9417e65d058e687c4781fe2c04 Mon Sep 17 00:00:00 2001 From: Steven Brus Date: Wed, 7 Dec 2022 10:36:54 -0600 Subject: [PATCH 22/86] Fix variable name capitalization mistake --- mpas_analysis/default.cfg | 4 ++-- mpas_analysis/ocean/climatology_map_waves.py | 10 +++++----- 2 files changed, 7 insertions(+), 7 deletions(-) diff --git a/mpas_analysis/default.cfg b/mpas_analysis/default.cfg index b8666c70f..054221de9 100755 --- a/mpas_analysis/default.cfg +++ b/mpas_analysis/default.cfg @@ -2176,8 +2176,8 @@ fieldList = ['significantWaveHeight', 'peakWavePeriod'] era5ObsStartYear = 1959 era5ObsEndYear = 2021 -SscciObsStartYear = 1991 -SscciObsEndYear = 2018 +sscciObsStartYear = 1991 +sscciObsEndYear = 2018 [climatologyMapWavesSignificantWaveHeight] ## options related to plotting climatology maps of significant wave height diff --git a/mpas_analysis/ocean/climatology_map_waves.py b/mpas_analysis/ocean/climatology_map_waves.py index e31ca35cc..b4dcb5ddb 100644 --- a/mpas_analysis/ocean/climatology_map_waves.py +++ b/mpas_analysis/ocean/climatology_map_waves.py @@ -110,8 +110,8 @@ def __init__(self, config, mpasClimatologyTask, regionMasksTask, era5ObsStartYear = config.getint(sectionName, 'era5ObsStartYear') era5ObsEndYear = config.getint(sectionName, 'era5ObsEndYear') - SscciObsStartYear = config.getint(sectionName, 'SscciObsStartYear') - SscciObsEndYear = config.getint(sectionName, 'SscciObsEndYear') + sscciObsStartYear = config.getint(sectionName, 'sscciObsStartYear') + sscciObsEndYear = config.getint(sectionName, 'sscciObsEndYear') # the variableList variables will be added to # mpasClimatologyTask along with the seasons. @@ -179,7 +179,7 @@ def __init__(self, config, mpasClimatologyTask, regionMasksTask, remapObservationsSubtask = \ remapSscciObservationsSubtask refTitleLabel = f'{obs_type} ({obs.upper()})' \ - f'{SscciObsStartYear}-{SscciObsEndYear}' + f'{sscciObsStartYear}-{sscciObsEndYear}' galleryName = f"{field['titleName']} " \ f"({obs.upper()} {obs_type})" @@ -519,8 +519,8 @@ def build_observational_dataset(self, fileName): # {{{ # Steven Brus, Xylar Asay-Davis sectionName = self.taskName - climStartYear = self.config.getint(sectionName, 'SscciObsStartYear') - climEndYear = self.config.getint(sectionName, 'SscciObsEndYear') + climStartYear = self.config.getint(sectionName, 'sscciObsStartYear') + climEndYear = self.config.getint(sectionName, 'sscciObsEndYear') timeStart = datetime.datetime(year=climStartYear, month=1, day=1) timeEnd = datetime.datetime(year=climEndYear, month=12, day=31) From 94bded3fd32f3c029a79d172c8513b02f6a17aca Mon Sep 17 00:00:00 2001 From: Steven Brus Date: Wed, 7 Dec 2022 11:07:29 -0600 Subject: [PATCH 23/86] Add user's guide documentation --- docs/users_guide/analysis_tasks.rst | 2 + .../users_guide/tasks/climatologyMapWaves.rst | 108 ++++++++++++++++++ .../tasks/examples/peak_period.png | Bin 0 -> 1418142 bytes docs/users_guide/tasks/examples/swh.png | Bin 0 -> 1314571 bytes 4 files changed, 110 insertions(+) create mode 100644 docs/users_guide/tasks/climatologyMapWaves.rst create mode 100644 docs/users_guide/tasks/examples/peak_period.png create mode 100644 docs/users_guide/tasks/examples/swh.png diff --git a/docs/users_guide/analysis_tasks.rst b/docs/users_guide/analysis_tasks.rst index 1ba963664..2f9bf88f5 100644 --- a/docs/users_guide/analysis_tasks.rst +++ b/docs/users_guide/analysis_tasks.rst @@ -49,3 +49,5 @@ Analysis Tasks tasks/climatologyMapSeaIceMeltingSH tasks/climatologyMapIcebergConcSH + + tasks/climatologyMapWaves diff --git a/docs/users_guide/tasks/climatologyMapWaves.rst b/docs/users_guide/tasks/climatologyMapWaves.rst new file mode 100644 index 000000000..d2deb7311 --- /dev/null +++ b/docs/users_guide/tasks/climatologyMapWaves.rst @@ -0,0 +1,108 @@ +.. _task_climatologyMapWaves: + +climatologyMapWaves +================= + +An analysis task for comparison of global maps of wave quantities +(significant wave height and peak period) against observations. + +Component and Tags:: + + component: ocean + tags: climatology, horizontalMap, waves + +Configuration Options +--------------------- + +The following configuration options are available for this task:: + + [climatologyMapWaves] + ## options related to plotting climatology maps of wave fields + ## ERA5 climatological data + + # comparison grid(s) on which to plot analysis + comparisonGrids = ['latlon'] + + # Months or seasons to plot (Jan, Feb, Mar, Apr, May, Jun, Jul, Aug, Sep, Oct, + # Nov, Dec, JFM, AMJ, JAS, OND, ANN) + seasons = ['ANN', 'JFM', 'JAS'] + + # a list of fields to plot ('significantWaveHeight', 'peakWavePeriod') + fieldList = ['significantWaveHeight', 'peakWavePeriod'] + + era5ObsStartYear = 1959 + era5ObsEndYear = 2021 + sscciObsStartYear = 1991 + sscciObsEndYear = 2018 + + [climatologyMapWavesSignificantWaveHeight] + ## options related to plotting climatology maps of significant wave height + + # colormap for model/observations + colormapNameResult = viridis + # whether the colormap is indexed or continuous + colormapTypeResult = continuous + # the type of norm used in the colormap + normTypeResult = linear + # A dictionary with keywords for the norm + normArgsResult = {'vmin': 0., 'vmax': 7.} + # place the ticks automatically by default + # colorbarTicksResult = numpy.linspace(-2., 10., 9) + + # colormap for differences + colormapNameDifference = balance + # whether the colormap is indexed or continuous + colormapTypeDifference = continuous + # the type of norm used in the colormap + normTypeDifference = linear + # A dictionary with keywords for the norm + normArgsDifference = {'vmin': -5., 'vmax': 5.} + # place the ticks automatically by default + # colorbarTicksDifference = numpy.linspace(-5., 5., 9) + + [climatologyMapWavesPeakWavePeriod] + ## options related to plotting climatology maps of peak wave frequency + + # colormap for model/observations + colormapNameResult = plasma + # whether the colormap is indexed or continuous + colormapTypeResult = continuous + # the type of norm used in the colormap + normTypeResult = linear + # A dictionary with keywords for the norm + normArgsResult = {'vmin': 0.0, 'vmax':15.0} + # place the ticks automatically by default + # colorbarTicksResult = numpy.linspace(-2., 10., 9) + + # colormap for differences + colormapNameDifference = balance + # whether the colormap is indexed or continuous + colormapTypeDifference = continuous + # the type of norm used in the colormap + normTypeDifference = linear + # A dictionary with keywords for the norm + normArgsDifference = {'vmin': -5., 'vmax': 5.} + # place the ticks automatically by default + # colorbarTicksDifference = numpy.linspace(-5., 5., 9) + +For more details, see: + * :ref:`config_colormaps` + * :ref:`config_seasons` + * :ref:`config_comparison_grids` + +Observations +------------ + +:ref:`era5_waves` +:ref:`sscci_waves` + +Example Result +-------------- + +.. image:: examples/swh.png + :width: 500 px + :align: center + +.. image:: examples/peak_period.png + :width: 500 px + :align: center diff --git a/docs/users_guide/tasks/examples/peak_period.png b/docs/users_guide/tasks/examples/peak_period.png new file mode 100644 index 0000000000000000000000000000000000000000..0379b594270d6d302bf3df3bc7e9ed87cefd75ed GIT binary patch literal 1418142 zcmeFZi9413+dZsF8jvQWh$xjz86ra=^B9SYnPn>Ttdb~Gc0z_EA`xXObBaplIb@2= z+mIup<5=;(S5JS<}J7+3l*MIfcqq=j*l(&bHPjhh5Dbova<~ zPjd@#^Kl)va(2G%B+A2M_y4|u+riP2r>lG+79XPs15@=k-&7bg{b67#puW5F(@v(3fi!MB zs=>uxw@$Q*k1TDqDJyJ>6R^{CFMo23Ha^Z&VX9PNdgO`IUMZ>#Z2#kxqu{FB^MCz> zKcwQ||9Ar%({)ywbmE6Y&xY|<^ zPnYpFy2qPp^_)d;c=+eXr!B89O&OHlmEYFQ-ytOxQ z@$ASlufpfhYq;*DVl?+DQP)XMi~9KE_Pr&K z+j<%Lss={9!M$cn7I=RW!)fG|kVX{azocUCG zn$8;&i;nZ{OTTALbw5i`42+MT*iO&QHQt(jgm{CH?YG0bckj+w;V@$$&;7W+?_^Gq zlJ@hpWsB4;JNCcmcDa6i7cH}x{AHin+1U>tKT3}XzS1w`@A0u~PPx}Rcy;;L&;4z} 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a/mpas_analysis/obs/analysis_input_files +++ b/mpas_analysis/obs/analysis_input_files @@ -61,6 +61,9 @@ observations/Ocean/ARGO/README.md observations/Ocean/EKE/obs.bib observations/Ocean/EKE/README.md observations/Ocean/EKE/drifter_variance_20180804.nc +observations/Ocean/ERA5/ERA5_Monthly_1959-2021.nc +observations/Ocean/ERA5/obs.bib +observations/Ocean/ERA5/README.md observations/Ocean/SSH/obs.bib observations/Ocean/SSH/README.md observations/Ocean/SSH/zos_AVISO_L4_199210-201012_20180710.nc @@ -109,6 +112,9 @@ observations/Ocean/Nino/ERS_SSTv4/README.md observations/Ocean/MLD/obs.bib observations/Ocean/MLD/holtetalley_mld_climatology_20180710.nc observations/Ocean/MLD/README.md +observations/Ocean/SSCCI/obs.bib +observations/Ocean/SSCCI/README.md +observations/Ocean/SSCCI/SS_CCI_1991_2018.nc observations/Ocean/SSS/obs.bib observations/Ocean/SSS/Aquarius_V3_SSS_Monthly_20180710.nc observations/Ocean/SSS/README.md diff --git a/mpas_analysis/obs/observational_datasets.xml b/mpas_analysis/obs/observational_datasets.xml index 0dc973c3f..ac2450b2d 100755 --- a/mpas_analysis/obs/observational_datasets.xml +++ b/mpas_analysis/obs/observational_datasets.xml @@ -1005,7 +1005,7 @@ - + G SeaWiFS @@ -1204,6 +1204,167 @@ + + + Wave Reanalysis: ERA5 + + + ocean + + + ERA5 is the fifth generation ECMWF reanalysis for the global climate and weather for the past 4 to 7 decades. + Currently data is available from 1950, with Climate Data Store entries for 1950-1978 (preliminary back extension) + and from 1959 onwards (final release plus timely updates, this page). ERA5 replaces the ERA-Interim reanalysis. + + Reanalysis combines model data with observations from across the world into a globally complete and + consistent dataset using the laws of physics. This principle, called data assimilation, is based on + the method used by numerical weather prediction centres, where every so many hours (12 hours at ECMWF) + a previous forecast is combined with newly available observations in an optimal way to produce a new + best estimate of the state of the atmosphere, called analysis, from which an updated, improved forecast is issued. + Reanalysis works in the same way, but at reduced resolution to allow for the provision of a dataset + spanning back several decades. Reanalysis does not have the constraint of issuing timely forecasts, + so there is more time to collect observations, and when going further back in time, to allow for the + ingestion of improved versions of the original observations, which all benefit the quality of the reanalysis product. + + ERA5 provides hourly estimates for a large number of atmospheric, ocean-wave and land-surface quantities. + An uncertainty estimate is sampled by an underlying 10-member ensemble at three-hourly intervals. + Ensemble mean and spread have been pre-computed for convenience. + Such uncertainty estimates are closely related to the information content of the available + observing system which has evolved considerably over time. They also indicate flow-dependent sensitive areas. + To facilitate many climate applications, monthly-mean averages have been pre-calculated too, + though monthly means are not available for the ensemble mean and spread. + + ERA5 is updated daily with a latency of about 5 days (monthly means are available around the 6th of each month). + In case that serious flaws are detected in this early release (called ERA5T), this data could be different + from the final release 2 to 3 months later. In case that this occurs users are notified. + + The data set presented here is a regridded subset of the full ERA5 data set on native resolution. + It is online on spinning disk, which should ensure fast and easy access. + It should satisfy the requirements for most common applications. + + An overview of all ERA5 datasets can be found in this [article](https://confluence.ecmwf.int/display/CKB/The+family+of+ERA5+datasets). + Information on access to ERA5 data on native resolution is provided in these [guidelines](https://confluence.ecmwf.int/display/CKB/How+to+download+ERA5). + + Data has been regridded to a regular lat-lon grid of 0.25 degrees for the reanalysis and + 0.5 degrees for the uncertainty estimate (0.5 and 1 degree respectively for ocean waves). + There are four main sub sets: hourly and monthly products, both on pressure levels + (upper air fields) and single levels (atmospheric, ocean-wave and land surface quantities). + + The present entry is "ERA5 monthly mean data on single levels from 1959 to present". + + + [Copernicus Climate Data Store](https://doi.org/10.24381/cds.f17050d7) + + + Access to Copernicus Products is given for any purpose in so far as it is lawful, whereas use + may include, but is not limited to: reproduction; distribution; communication to the public; + adaptation, modification and combination with other data and information; or any + combination of the foregoing. [Licence Agreement](https://cds.climate.copernicus.eu/api/v2/terms/static/licence-to-use-copernicus-products.pdf) + + + - [Hersback et al. 2020](https://rmets.onlinelibrary.wiley.com/doi/10.1002/qj.3803) + + + @article{Hersbach2020, + doi = {10.1002/qj.3803}, + url = {https://doi.org/10.1002/qj.3803}, + year = {2020}, + month = jun, + publisher = {Wiley}, + volume = {146}, + number = {730}, + pages = {1999--2049}, + author = {Hans Hersbach and Bill Bell and Paul Berrisford and Shoji Hirahara and Andr{\'{a}}s Hor{\'{a}}nyi and Joaqu{\'{\i}}n Mu{\~{n}}oz-Sabater and Julien Nicolas and Carole Peubey and Raluca Radu and Dinand Schepers and Adrian Simmons and Cornel Soci and Saleh Abdalla and Xavier Abellan and Gianpaolo Balsamo and Peter Bechtold and Gionata Biavati and Jean Bidlot and Massimo Bonavita and Giovanna Chiara and Per Dahlgren and Dick Dee and Michail Diamantakis and Rossana Dragani and Johannes Flemming and Richard Forbes and Manuel Fuentes and Alan Geer and Leo Haimberger and Sean Healy and Robin J. Hogan and El{\'{\i}}as H{\'{o}}lm and Marta Janiskov{\'{a}} and Sarah Keeley and Patrick Laloyaux and Philippe Lopez and Cristina Lupu and Gabor Radnoti and Patricia Rosnay and Iryna Rozum and Freja Vamborg and Sebastien Villaume and Jean-Noël Th{\'{e}}paut}, + title = {The {ERA}5 global reanalysis}, + journal = {Quarterly Journal of the Royal Meteorological Society} + } + + + - https://cds.climate.copernicus.eu/cdsapp#!/dataset/reanalysis-era5-single-levels-monthly-means?tab=form + + + + + - climatologyMapWaves + + + Ocean/ERA5 + + + era5waves + + + + + + Wave Satelite Altimeter Observations: ESA Sea State Climate Change Initiative + + + ocean + + + The ESA Sea State Climate Change Initiative (CCI) project has produced global merged multi-sensor + time-series of monthly gridded satellite altimeter significant wave height (referred to as Level 4 (L4) data) + with a particular focus for use in climate studies. + + This dataset contains the Version 1.1 Remote Sensing Sea Surface Height product, gridded over a global + regular cylindrical projection (1°x1° resolution), averaging valid and good measurements from all + available altimeters on a monthly basis (using the L2P products also available). + These L4 products are meant for statistics and visualization. + + This first version of the Sea State CCI products is inherited from the GlobWave project, + building on experience and existing outputs. It extends and improves the GlobWave products, + which were a post-processing over existing L2 altimeter agency products with additional filtering, + corrections and variables. A major improvement consists in a new denoised sea surface height + variable using Empirical Mode Decomposition, which was used as input to these monthly statistical fields. + + The altimeter data used in the Sea State CCI dataset v1.1 come from multiple satellite missions + spanning from 1991 to 2018 (ERS-1, ERS-2, Topex, Envisat, GFO, CryoSat-2, Jason-1, Jason-2, Jason-3, SARAL). + Many altimeters are bi-frequency (Ku-C or Ku-S) and only measurements in Ku band were used, + for consistency reasons, being available on each altimeter but SARAL (Ka band). + + + - [CEDA Archive](http://dx.doi.org/10.5285/47140d618dcc40309e1edbca7e773478) + + + Public data: access to these data is available to both registered and non-registered users. + Use of these data is covered by the following [licence](https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_sea_state_terms_and_conditions.pdf). + When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record. + + + - [Dodet et al. 2020](https://essd.copernicus.org/articles/12/1929/2020/) + + + @article{Dodet2020, + doi = {10.5194/essd-12-1929-2020}, + url = {https://doi.org/10.5194/essd-12-1929-2020}, + year = {2020}, + month = sep, + publisher = {Copernicus {GmbH}}, + volume = {12}, + number = {3}, + pages = {1929--1951}, + author = {Guillaume Dodet and Jean-Fran{\c{c}}ois Piolle and Yves Quilfen and Saleh Abdalla and Mickaël Accensi and Fabrice Ardhuin and Ellis Ash and Jean-Raymond Bidlot and Christine Gommenginger and Gwendal Marechal and Marcello Passaro and Graham Quartly and Justin Stopa and Ben Timmermans and Ian Young and Paolo Cipollini and Craig Donlon}, + title = {The Sea State {CCI} dataset v1: towards a sea state climate data record based on satellite observations}, + journal = {Earth System Science Data} + } + + + - https://data.ceda.ac.uk/neodc/esacci/sea_state/data/v1.1_release/l4/v1.1 + + + + + - climatologyMapWaves + + + Ocean/SSCCI + + + sscciwaves + + + main --- .travis.yml | 4 ++-- README.md | 4 ++-- azure-pipelines.yml | 8 ++++---- docs/tutorials/dev_add_task.rst | 2 +- docs/tutorials/dev_getting_started.rst | 2 +- docs/tutorials/dev_understand_a_task.rst | 10 +++++----- docs/tutorials/getting_started.rst | 10 +++++----- docs/users_guide/tasks/regionalTSDiagrams.rst | 2 +- docs/users_guide/tasks/timeSeriesOceanRegions.rst | 2 +- docs/versions.rst | 4 ++-- download_analysis_data.py | 2 +- licenses/_headers/header-css | 2 +- licenses/_headers/header-html | 2 +- licenses/_headers/header-ncl | 2 +- licenses/_headers/header-py | 2 +- licenses/_headers/license-bump-copyright.sh | 2 +- licenses/_headers/license-prepend-missing.sh | 2 +- licenses/_headers/license-setup.sh | 2 +- mpas_analysis/__main__.py | 2 +- mpas_analysis/analysis_task_template.py | 4 ++-- mpas_analysis/download_data.py | 2 +- mpas_analysis/obs/make_obs_readme_bibtex.py | 2 +- mpas_analysis/ocean/climatology_map_antarctic_melt.py | 2 +- mpas_analysis/ocean/climatology_map_argo.py | 4 ++-- mpas_analysis/ocean/climatology_map_bsf.py | 2 +- mpas_analysis/ocean/climatology_map_eke.py | 2 +- mpas_analysis/ocean/climatology_map_mld.py | 2 +- mpas_analysis/ocean/climatology_map_mld_min_max.py | 2 +- mpas_analysis/ocean/climatology_map_ohc_anomaly.py | 2 +- mpas_analysis/ocean/climatology_map_schmidtko.py | 4 ++-- mpas_analysis/ocean/climatology_map_sose.py | 2 +- mpas_analysis/ocean/climatology_map_ssh.py | 2 +- mpas_analysis/ocean/climatology_map_sss.py | 2 +- mpas_analysis/ocean/climatology_map_sst.py | 2 +- mpas_analysis/ocean/climatology_map_waves.py | 6 +++--- mpas_analysis/ocean/climatology_map_woa.py | 4 ++-- mpas_analysis/ocean/compute_anomaly_subtask.py | 2 +- mpas_analysis/ocean/compute_transects_subtask.py | 2 +- mpas_analysis/ocean/compute_transects_with_vel_mag.py | 2 +- mpas_analysis/ocean/geojson_transects.py | 2 +- mpas_analysis/ocean/histogram.py | 2 +- mpas_analysis/ocean/hovmoller_ocean_regions.py | 2 +- mpas_analysis/ocean/index_nino34.py | 2 +- mpas_analysis/ocean/meridional_heat_transport.py | 2 +- mpas_analysis/ocean/ocean_regional_profiles.py | 2 +- .../ocean/plot_depth_integrated_time_series_subtask.py | 2 +- mpas_analysis/ocean/plot_hovmoller_subtask.py | 2 +- mpas_analysis/ocean/plot_transect_subtask.py | 4 ++-- mpas_analysis/ocean/regional_ts_diagrams.py | 2 +- mpas_analysis/ocean/remap_depth_slices_subtask.py | 2 +- mpas_analysis/ocean/remap_sose_climatology.py | 4 ++-- mpas_analysis/ocean/sose_transects.py | 2 +- mpas_analysis/ocean/streamfunction_moc.py | 2 +- mpas_analysis/ocean/time_series_antarctic_melt.py | 2 +- mpas_analysis/ocean/time_series_ocean_regions.py | 2 +- mpas_analysis/ocean/time_series_ohc_anomaly.py | 2 +- mpas_analysis/ocean/time_series_salinity_anomaly.py | 2 +- mpas_analysis/ocean/time_series_ssh_anomaly.py | 2 +- mpas_analysis/ocean/time_series_sst.py | 2 +- mpas_analysis/ocean/time_series_temperature_anomaly.py | 2 +- mpas_analysis/ocean/time_series_transport.py | 2 +- mpas_analysis/ocean/utility.py | 2 +- mpas_analysis/ocean/woce_transects.py | 2 +- mpas_analysis/sea_ice/climatology_map_sea_ice_conc.py | 2 +- mpas_analysis/sea_ice/climatology_map_sea_ice_thick.py | 2 +- mpas_analysis/sea_ice/time_series.py | 2 +- mpas_analysis/shared/analysis_task.py | 2 +- mpas_analysis/shared/climatology/climatology.py | 2 +- .../shared/climatology/comparison_descriptors.py | 2 +- .../shared/climatology/mpas_climatology_task.py | 2 +- .../climatology/ref_year_mpas_climatology_task.py | 2 +- .../climatology/remap_mpas_climatology_subtask.py | 2 +- .../climatology/remap_observed_climatology_subtask.py | 4 ++-- mpas_analysis/shared/constants/constants.py | 2 +- mpas_analysis/shared/containers.py | 2 +- .../shared/generalized_reader/generalized_reader.py | 2 +- mpas_analysis/shared/html/image_xml.py | 2 +- mpas_analysis/shared/html/pages.py | 2 +- mpas_analysis/shared/html/templates/style.css | 2 +- mpas_analysis/shared/interpolation/interp_1d.py | 2 +- mpas_analysis/shared/interpolation/utility.py | 2 +- mpas_analysis/shared/io/download.py | 2 +- mpas_analysis/shared/io/mpas_reader.py | 2 +- mpas_analysis/shared/io/namelist_streams_interface.py | 2 +- mpas_analysis/shared/io/utility.py | 2 +- mpas_analysis/shared/io/write_netcdf.py | 2 +- mpas_analysis/shared/mpas_xarray/mpas_xarray.py | 2 +- mpas_analysis/shared/plot/climatology_map.py | 2 +- mpas_analysis/shared/plot/colormap.py | 2 +- mpas_analysis/shared/plot/histogram.py | 2 +- mpas_analysis/shared/plot/inset.py | 2 +- mpas_analysis/shared/plot/oned.py | 2 +- .../shared/plot/plot_climatology_map_subtask.py | 4 ++-- mpas_analysis/shared/plot/save.py | 2 +- mpas_analysis/shared/plot/ticks.py | 2 +- mpas_analysis/shared/plot/time_series.py | 2 +- mpas_analysis/shared/plot/vertical_section.py | 2 +- mpas_analysis/shared/projection/__init__.py | 2 +- mpas_analysis/shared/regions/compute_region_masks.py | 2 +- .../shared/regions/compute_region_masks_subtask.py | 2 +- mpas_analysis/shared/time_series/anomaly.py | 2 +- mpas_analysis/shared/time_series/moving_average.py | 2 +- .../shared/time_series/mpas_time_series_task.py | 2 +- mpas_analysis/shared/time_series/time_series.py | 2 +- mpas_analysis/shared/timekeeping/MpasRelativeDelta.py | 2 +- mpas_analysis/shared/timekeeping/utility.py | 2 +- .../shared/transects/compute_transect_masks_subtask.py | 2 +- mpas_analysis/test/test_analysis_task.py | 2 +- mpas_analysis/test/test_climatology.py | 2 +- mpas_analysis/test/test_generalized_reader.py | 2 +- mpas_analysis/test/test_io_utility.py | 2 +- mpas_analysis/test/test_mpas_climatology_task.py | 2 +- mpas_analysis/test/test_mpas_xarray.py | 2 +- mpas_analysis/test/test_namelist_streams_interface.py | 2 +- mpas_analysis/test/test_open_mpas_dataset.py | 2 +- mpas_analysis/test/test_remap_obs_clim_subtask.py | 2 +- .../test/test_remap_obs_clim_subtask/remap_mld_obs.py | 2 +- mpas_analysis/test/test_timekeeping.py | 2 +- preprocess_observations/preprocess_SOSE_data.py | 2 +- preprocess_observations/preprocess_Schmidtko_data.py | 2 +- preprocess_observations/remap_rignot.py | 2 +- setup.py | 2 +- suite/run_suite.bash | 8 ++++---- utility_scripts/README.md | 2 +- utility_scripts/make_ismip6_region_masks.py | 2 +- utility_scripts/make_region_mask.py | 2 +- 126 files changed, 153 insertions(+), 153 deletions(-) diff --git a/.travis.yml b/.travis.yml index 212db6790..cd8a76fbc 100644 --- a/.travis.yml +++ b/.travis.yml @@ -18,9 +18,9 @@ matrix: - name: "python-3.8" python: 3.8 env: CONDA_ENV=py38 - - name: "python-3.7-xarray-master" + - name: "python-3.7-xarray-main" python: 3.7 - env: CONDA_ENV=py37-xarray-master + env: CONDA_ENV=py37-xarray-main env: global: diff --git a/README.md b/README.md index 93ba564c1..e4bec4701 100644 --- a/README.md +++ b/README.md @@ -13,8 +13,8 @@ used those components. diff --git a/azure-pipelines.yml b/azure-pipelines.yml index 038615cd4..e30fa1b7a 100644 --- a/azure-pipelines.yml +++ b/azure-pipelines.yml @@ -2,7 +2,7 @@ trigger: branches: include: - - master + - main - develop tags: include: @@ -11,7 +11,7 @@ trigger: pr: branches: include: - - master + - main - develop jobs: @@ -93,7 +93,7 @@ jobs: if [[ "$(Build.SourceBranch)" == "refs/heads/develop" ]]; then export DOCS_VERSION="latest" deploy=True - elif [[ "$(Build.SourceBranch)" == "refs/heads/master" ]]; then + elif [[ "$(Build.SourceBranch)" == "refs/heads/main" ]]; then export DOCS_VERSION="stable" deploy=True elif [[ "$(Build.SourceBranch)" == refs/tags/* ]]; then @@ -141,7 +141,7 @@ jobs: displayName: build and deploy docs - job: - displayName: xarray-master + displayName: xarray-main pool: vmImage: 'ubuntu-latest' strategy: diff --git a/docs/tutorials/dev_add_task.rst b/docs/tutorials/dev_add_task.rst index baebde7d5..8cb0c8e5c 100644 --- a/docs/tutorials/dev_add_task.rst +++ b/docs/tutorials/dev_add_task.rst @@ -1110,7 +1110,7 @@ described in this tutorial: # # Additional copyright and license information can be found in the LICENSE file # distributed with this code, or at - # https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/master/LICENSE + # https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/main/LICENSE import xarray as xr import numpy as np import scipy.sparse diff --git a/docs/tutorials/dev_getting_started.rst b/docs/tutorials/dev_getting_started.rst index fc53c4ee1..697e08b70 100644 --- a/docs/tutorials/dev_getting_started.rst +++ b/docs/tutorials/dev_getting_started.rst @@ -357,7 +357,7 @@ We configure MPAS-Analysis is with Python ``cfg`` (also called ``ini``) files: [execute] ... -The `default config file `_ +The `default config file `_ contains thousands of config options, which gives a lot of flexibility to MPAS-Analysis but can be more than bit overwhelming to new users and developers. diff --git a/docs/tutorials/dev_understand_a_task.rst b/docs/tutorials/dev_understand_a_task.rst index 1cffcfc9f..508931b20 100644 --- a/docs/tutorials/dev_understand_a_task.rst +++ b/docs/tutorials/dev_understand_a_task.rst @@ -33,13 +33,13 @@ first impression of how our simulation is doing. The primary output from MPAS-Ocean and MPAS-Seaice are monthly and daily averages of a large number of data fields. Here are links to the list of: -* `MPAS-Ocean monthly fields `_ +* `MPAS-Ocean monthly fields `_ -* `MPAS-Ocean daily fields `_ +* `MPAS-Ocean daily fields `_ -* `MPAS-Seaice monthly fields `_ +* `MPAS-Seaice monthly fields `_ -* `MPAS-Seaice daily fields `_ +* `MPAS-Seaice daily fields `_ The components also produce a smaller amount of more specialized output, such as monthly maximum/minimum values. @@ -871,7 +871,7 @@ here is the full analysis task as described in this tutorial: # # Additional copyright and license information can be found in the LICENSE file # distributed with this code, or at - # https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/master/LICENSE + # https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/main/LICENSE import xarray as xr import numpy as np diff --git a/docs/tutorials/getting_started.rst b/docs/tutorials/getting_started.rst index 17edea71b..aa7058158 100644 --- a/docs/tutorials/getting_started.rst +++ b/docs/tutorials/getting_started.rst @@ -632,13 +632,13 @@ determine the cause of the error. If not, please include them if you are .. _`Miniconda3 installer`: https://docs.conda.io/en/latest/miniconda.html .. _`conda-forge channel`: https://conda-forge.org/ -.. _`config file`: https://github.com/MPAS-Dev/MPAS-Analysis/tree/master/configs +.. _`config file`: https://github.com/MPAS-Dev/MPAS-Analysis/tree/main/configs .. _`Ultra-low-res ocean and sea-ice dataset`: https://web.lcrc.anl.gov/public/e3sm/diagnostics/test_output/20200305.A_WCYCL1850.ne4_oQU480.anvil/20200305.A_WCYCL1850.ne4_oQU480.anvil.ocean_seaice.tar.gz -.. _`full list of files`: https://github.com/MPAS-Dev/MPAS-Analysis/blob/master/mpas_analysis/obs/analysis_input_files +.. _`full list of files`: https://github.com/MPAS-Dev/MPAS-Analysis/blob/main/mpas_analysis/obs/analysis_input_files .. _`diagnostics web server`: https://web.lcrc.anl.gov/public/e3sm/diagnostics/ -.. _`default config file`: https://github.com/MPAS-Dev/MPAS-Analysis/blob/master/mpas_analysis/default.cfg -.. _`example config file`: https://github.com/MPAS-Dev/MPAS-Analysis/blob/master/example.cfg -.. _`E3SM example config file`: https://github.com/MPAS-Dev/MPAS-Analysis/blob/master/example_e3sm.cfg +.. _`default config file`: https://github.com/MPAS-Dev/MPAS-Analysis/blob/main/mpas_analysis/default.cfg +.. _`example config file`: https://github.com/MPAS-Dev/MPAS-Analysis/blob/main/example.cfg +.. _`E3SM example config file`: https://github.com/MPAS-Dev/MPAS-Analysis/blob/main/example_e3sm.cfg .. _`ncclimo`: http://nco.sourceforge.net/nco.html#ncclimo-netCDF-Climatology-Generator .. _`this example output`: https://mpas-dev.github.io/MPAS-Analysis/examples/QU480 .. _`posting an issue`: https://github.com/MPAS-Dev/MPAS-Analysis/issues diff --git a/docs/users_guide/tasks/regionalTSDiagrams.rst b/docs/users_guide/tasks/regionalTSDiagrams.rst index 727bc5e83..6629cd9ff 100644 --- a/docs/users_guide/tasks/regionalTSDiagrams.rst +++ b/docs/users_guide/tasks/regionalTSDiagrams.rst @@ -213,4 +213,4 @@ Example Result :width: 500 px :align: center -.. _`antarctic_ocean_regions`: https://github.com/MPAS-Dev/geometric_features/tree/master/feature_creation_scripts/antarctic_ocean_regions +.. _`antarctic_ocean_regions`: https://github.com/MPAS-Dev/geometric_features/tree/main/feature_creation_scripts/antarctic_ocean_regions diff --git a/docs/users_guide/tasks/timeSeriesOceanRegions.rst b/docs/users_guide/tasks/timeSeriesOceanRegions.rst index c0d279b0e..fe4c6b378 100644 --- a/docs/users_guide/tasks/timeSeriesOceanRegions.rst +++ b/docs/users_guide/tasks/timeSeriesOceanRegions.rst @@ -135,4 +135,4 @@ Example Result :width: 500 px :align: center -.. _`antarctic_ocean_regions`: https://github.com/MPAS-Dev/geometric_features/tree/master/feature_creation_scripts/antarctic_ocean_regions +.. _`antarctic_ocean_regions`: https://github.com/MPAS-Dev/geometric_features/tree/main/feature_creation_scripts/antarctic_ocean_regions diff --git a/docs/versions.rst b/docs/versions.rst index 147ba6183..bd5f1c108 100644 --- a/docs/versions.rst +++ b/docs/versions.rst @@ -4,7 +4,7 @@ Versions ================ =============== Documentation On GitHub ================ =============== -`stable`_ `master`_ +`stable`_ `main`_ `latest`_ `develop`_ `v1.2.6`_ `1.2.6`_ `v1.2.7`_ `1.2.7`_ @@ -36,7 +36,7 @@ Documentation On GitHub .. _`v1.7.1`: ../1.7.1/index.html .. _`v1.7.2`: ../1.7.2/index.html .. _`v1.8.0`: ../1.8.0/index.html -.. _`master`: https://github.com/MPAS-Dev/MPAS-Analysis/tree/master +.. _`main`: https://github.com/MPAS-Dev/MPAS-Analysis/tree/main .. _`develop`: https://github.com/MPAS-Dev/MPAS-Analysis/tree/develop .. _`1.2.6`: https://github.com/MPAS-Dev/MPAS-Analysis/tree/1.2.6 .. _`1.2.7`: https://github.com/MPAS-Dev/MPAS-Analysis/tree/1.2.7 diff --git a/download_analysis_data.py b/download_analysis_data.py index d6714c3e1..70a3f9599 100755 --- a/download_analysis_data.py +++ b/download_analysis_data.py @@ -8,7 +8,7 @@ # # Additional copyright and license information can be found in the LICENSE file # distributed with this code, or at -# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/master/LICENSE +# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/main/LICENSE from __future__ import absolute_import, division, print_function, \ unicode_literals diff --git a/licenses/_headers/header-css b/licenses/_headers/header-css index b28084242..28ce3f77a 100755 --- a/licenses/_headers/header-css +++ b/licenses/_headers/header-css @@ -8,7 +8,7 @@ / / Additional copyright and license information can be found in the LICENSE file / distributed with this code, or at -/ https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/master/LICENSE +/ https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/main/LICENSE / */ diff --git a/licenses/_headers/header-html b/licenses/_headers/header-html index 2296e6812..cb459d626 100755 --- a/licenses/_headers/header-html +++ b/licenses/_headers/header-html @@ -8,7 +8,7 @@ - - Additional copyright and license information can be found in the LICENSE - file distributed with this code, or at - - https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/master/LICENSE + - https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/main/LICENSE --> diff --git a/licenses/_headers/header-ncl b/licenses/_headers/header-ncl index 95e0d9bfa..b5b1138d9 100755 --- a/licenses/_headers/header-ncl +++ b/licenses/_headers/header-ncl @@ -7,4 +7,4 @@ ; ; Additional copyright and license information can be found in the LICENSE file ; distributed with this code, or at -; https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/master/LICENSE +; https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/main/LICENSE diff --git a/licenses/_headers/header-py b/licenses/_headers/header-py index 2efc337cd..3bd200213 100755 --- a/licenses/_headers/header-py +++ b/licenses/_headers/header-py @@ -7,4 +7,4 @@ # # Additional copyright and license information can be found in the LICENSE file # distributed with this code, or at -# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/master/LICENSE +# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/main/LICENSE diff --git a/licenses/_headers/license-bump-copyright.sh b/licenses/_headers/license-bump-copyright.sh index 6ba3d648d..2459a9d8a 100755 --- a/licenses/_headers/license-bump-copyright.sh +++ b/licenses/_headers/license-bump-copyright.sh @@ -15,7 +15,7 @@ # # Additional copyright and license information can be found in the LICENSE file # distributed with this code, or at -# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/master/LICENSE +# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/main/LICENSE source license-setup.sh diff --git a/licenses/_headers/license-prepend-missing.sh b/licenses/_headers/license-prepend-missing.sh index 09341771c..5dc64614a 100755 --- a/licenses/_headers/license-prepend-missing.sh +++ b/licenses/_headers/license-prepend-missing.sh @@ -15,7 +15,7 @@ # # Additional copyright and license information can be found in the LICENSE file # distributed with this code, or at -# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/master/LICENSE +# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/main/LICENSE # # Get the source dir and ignore variables source license-setup.sh diff --git a/licenses/_headers/license-setup.sh b/licenses/_headers/license-setup.sh index e804314d3..29b9ba3c6 100755 --- a/licenses/_headers/license-setup.sh +++ b/licenses/_headers/license-setup.sh @@ -15,7 +15,7 @@ # # Additional copyright and license information can be found in the LICENSE file # distributed with this code, or at -# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/master/LICENSE +# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/main/LICENSE SOURCE_DIR="../.." diff --git a/mpas_analysis/__main__.py b/mpas_analysis/__main__.py index 16c02134d..d6bef5b5e 100755 --- a/mpas_analysis/__main__.py +++ b/mpas_analysis/__main__.py @@ -8,7 +8,7 @@ # # Additional copyright and license information can be found in the LICENSE file # distributed with this code, or at -# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/master/LICENSE +# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/main/LICENSE """ Runs MPAS-Analysis via a configuration file (e.g. `analysis.cfg`) diff --git a/mpas_analysis/analysis_task_template.py b/mpas_analysis/analysis_task_template.py index a1fb34e56..503046c94 100644 --- a/mpas_analysis/analysis_task_template.py +++ b/mpas_analysis/analysis_task_template.py @@ -7,7 +7,7 @@ # # Additional copyright and license information can be found in the LICENSE file # distributed with this code, or at -# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/master/LICENSE +# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/main/LICENSE """ This is an example analysis task to be used as a template for new tasks. It should be copied into one of the component folders (`ocean`, `sea_ice`, @@ -275,7 +275,7 @@ def setup_and_check(self): # Each analysis task generates one or more plots and writes out an # associated xml file for each plot. Once all tasks have finished, - # the "master" task will run through all the tasks and look at + # the "main" task will run through all the tasks and look at # xmlFileNames to find out what XML files were written out. Each task # should provide a list of files in the order that the corresponding # images should appear on the webpage. diff --git a/mpas_analysis/download_data.py b/mpas_analysis/download_data.py index 8f1ac9f79..3c70aeea6 100755 --- a/mpas_analysis/download_data.py +++ b/mpas_analysis/download_data.py @@ -8,7 +8,7 @@ # # Additional copyright and license information can be found in the LICENSE file # distributed with this code, or at -# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/master/LICENSE +# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/main/LICENSE """ Entry points for downloading data for MPAS-Analysis diff --git a/mpas_analysis/obs/make_obs_readme_bibtex.py b/mpas_analysis/obs/make_obs_readme_bibtex.py index 6785ea4e9..17787da4a 100755 --- a/mpas_analysis/obs/make_obs_readme_bibtex.py +++ b/mpas_analysis/obs/make_obs_readme_bibtex.py @@ -8,7 +8,7 @@ # # Additional copyright and license information can be found in the LICENSE file # distributed with this code, or at -# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/master/LICENSE +# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/main/LICENSE """ This script is used to automatically generate a README.md file describing each diff --git a/mpas_analysis/ocean/climatology_map_antarctic_melt.py b/mpas_analysis/ocean/climatology_map_antarctic_melt.py index e4fbd47da..50edc4729 100644 --- a/mpas_analysis/ocean/climatology_map_antarctic_melt.py +++ b/mpas_analysis/ocean/climatology_map_antarctic_melt.py @@ -7,7 +7,7 @@ # # Additional copyright and license information can be found in the LICENSE file # distributed with this code, or at -# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/master/LICENSE +# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/main/LICENSE import os import csv import xarray as xr diff --git a/mpas_analysis/ocean/climatology_map_argo.py b/mpas_analysis/ocean/climatology_map_argo.py index c9427a460..4611dd7e5 100644 --- a/mpas_analysis/ocean/climatology_map_argo.py +++ b/mpas_analysis/ocean/climatology_map_argo.py @@ -7,7 +7,7 @@ # # Additional copyright and license information can be found in the LICENSE file # distributed with this code, or at -# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/master/LICENSE +# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/main/LICENSE """ Analysis tasks for comparing Global climatology maps against Argo data. """ @@ -331,7 +331,7 @@ def __init__(self, parentTask, seasons, fileName, outFilePrefix, Parameters ---------- parentTask : ``AnalysisTask`` - The parent (master) task for this subtask + The parent (main) task for this subtask seasons : list of str A list of seasons (keys in ``constants.monthDictionary``) over diff --git a/mpas_analysis/ocean/climatology_map_bsf.py b/mpas_analysis/ocean/climatology_map_bsf.py index 07e4f884b..dca65ef8e 100644 --- a/mpas_analysis/ocean/climatology_map_bsf.py +++ b/mpas_analysis/ocean/climatology_map_bsf.py @@ -7,7 +7,7 @@ # # Additional copyright and license information can be found in the LICENSE file # distributed with this code, or at -# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/master/LICENSE +# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/main/LICENSE import xarray as xr import numpy as np import scipy.sparse diff --git a/mpas_analysis/ocean/climatology_map_eke.py b/mpas_analysis/ocean/climatology_map_eke.py index c7807e9d4..cea9c38e0 100644 --- a/mpas_analysis/ocean/climatology_map_eke.py +++ b/mpas_analysis/ocean/climatology_map_eke.py @@ -7,7 +7,7 @@ # # Additional copyright and license information can be found in the LICENSE file # distributed with this code, or at -# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/master/LICENSE +# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/main/LICENSE import xarray as xr from pyremap import LatLonGridDescriptor diff --git a/mpas_analysis/ocean/climatology_map_mld.py b/mpas_analysis/ocean/climatology_map_mld.py index 402396c29..ae22888a3 100644 --- a/mpas_analysis/ocean/climatology_map_mld.py +++ b/mpas_analysis/ocean/climatology_map_mld.py @@ -7,7 +7,7 @@ # # Additional copyright and license information can be found in the LICENSE file # distributed with this code, or at -# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/master/LICENSE +# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/main/LICENSE import xarray as xr import numpy as np from pyremap import LatLonGridDescriptor diff --git a/mpas_analysis/ocean/climatology_map_mld_min_max.py b/mpas_analysis/ocean/climatology_map_mld_min_max.py index dd41c3552..1bc4b6b3c 100644 --- a/mpas_analysis/ocean/climatology_map_mld_min_max.py +++ b/mpas_analysis/ocean/climatology_map_mld_min_max.py @@ -7,7 +7,7 @@ # # Additional copyright and license information can be found in the LICENSE file # distributed with this code, or at -# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/master/LICENSE +# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/main/LICENSE from mpas_analysis.shared import AnalysisTask from mpas_analysis.shared.climatology import RemapMpasClimatologySubtask diff --git a/mpas_analysis/ocean/climatology_map_ohc_anomaly.py b/mpas_analysis/ocean/climatology_map_ohc_anomaly.py index 537a91939..ba5522d64 100644 --- a/mpas_analysis/ocean/climatology_map_ohc_anomaly.py +++ b/mpas_analysis/ocean/climatology_map_ohc_anomaly.py @@ -7,7 +7,7 @@ # # Additional copyright and license information can be found in the LICENSE file # distributed with this code, or at -# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/master/LICENSE +# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/main/LICENSE import xarray as xr import numpy as np diff --git a/mpas_analysis/ocean/climatology_map_schmidtko.py b/mpas_analysis/ocean/climatology_map_schmidtko.py index 74ec8dad9..000b0a47e 100644 --- a/mpas_analysis/ocean/climatology_map_schmidtko.py +++ b/mpas_analysis/ocean/climatology_map_schmidtko.py @@ -7,7 +7,7 @@ # # Additional copyright and license information can be found in the LICENSE file # distributed with this code, or at -# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/master/LICENSE +# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/main/LICENSE """ Analysis tasks for comparing climatology maps of Antarctic seafloor fields against observations from Schmidtko et al. (2014, DOI: 10.1126/science.1256117) @@ -203,7 +203,7 @@ def __init__(self, parentTask, seasons, fileName, outFilePrefix, Parameters ---------- parentTask : ``AnalysisTask`` - The parent (master) task for this subtask + The parent (main) task for this subtask seasons : list of str A list of seasons (keys in ``constants.monthDictionary``) over diff --git a/mpas_analysis/ocean/climatology_map_sose.py b/mpas_analysis/ocean/climatology_map_sose.py index 9858e69b0..366cd5e13 100644 --- a/mpas_analysis/ocean/climatology_map_sose.py +++ b/mpas_analysis/ocean/climatology_map_sose.py @@ -7,7 +7,7 @@ # # Additional copyright and license information can be found in the LICENSE file # distributed with this code, or at -# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/master/LICENSE +# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/main/LICENSE """ Analysis tasks for comparing Antarctic climatology maps against observations and reanalysis data. diff --git a/mpas_analysis/ocean/climatology_map_ssh.py b/mpas_analysis/ocean/climatology_map_ssh.py index f169907fd..93462208e 100644 --- a/mpas_analysis/ocean/climatology_map_ssh.py +++ b/mpas_analysis/ocean/climatology_map_ssh.py @@ -7,7 +7,7 @@ # # Additional copyright and license information can be found in the LICENSE file # distributed with this code, or at -# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/master/LICENSE +# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/main/LICENSE import xarray as xr from pyremap import LatLonGridDescriptor diff --git a/mpas_analysis/ocean/climatology_map_sss.py b/mpas_analysis/ocean/climatology_map_sss.py index 4dd840579..f737d3bc0 100644 --- a/mpas_analysis/ocean/climatology_map_sss.py +++ b/mpas_analysis/ocean/climatology_map_sss.py @@ -7,7 +7,7 @@ # # Additional copyright and license information can be found in the LICENSE file # distributed with this code, or at -# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/master/LICENSE +# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/main/LICENSE import xarray as xr import datetime from pyremap import LatLonGridDescriptor diff --git a/mpas_analysis/ocean/climatology_map_sst.py b/mpas_analysis/ocean/climatology_map_sst.py index d5d9d1c58..f7c901a5c 100644 --- a/mpas_analysis/ocean/climatology_map_sst.py +++ b/mpas_analysis/ocean/climatology_map_sst.py @@ -7,7 +7,7 @@ # # Additional copyright and license information can be found in the LICENSE file # distributed with this code, or at -# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/master/LICENSE +# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/main/LICENSE import xarray as xr import datetime diff --git a/mpas_analysis/ocean/climatology_map_waves.py b/mpas_analysis/ocean/climatology_map_waves.py index b4dcb5ddb..da139981a 100644 --- a/mpas_analysis/ocean/climatology_map_waves.py +++ b/mpas_analysis/ocean/climatology_map_waves.py @@ -7,7 +7,7 @@ # # Additional copyright and license information can be found in the LICENSE file # distributed with this code, or at -# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/master/LICENSE +# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/main/LICENSE from __future__ import absolute_import, division, print_function, \ unicode_literals @@ -317,7 +317,7 @@ def __init__(self, parentTask, seasons, fileName, outFilePrefix, Parameters ---------- parentTask : ``AnalysisTask`` - The parent (master) task for this subtask + The parent (main) task for this subtask seasons : list of str A list of seasons (keys in ``constants.monthDictionary``) over @@ -438,7 +438,7 @@ def __init__(self, parentTask, seasons, fileName, outFilePrefix, Parameters ---------- parentTask : ``AnalysisTask`` - The parent (master) task for this subtask + The parent (main) task for this subtask seasons : list of str A list of seasons (keys in ``constants.monthDictionary``) over diff --git a/mpas_analysis/ocean/climatology_map_woa.py b/mpas_analysis/ocean/climatology_map_woa.py index 2ba03ce3d..d0708f48d 100644 --- a/mpas_analysis/ocean/climatology_map_woa.py +++ b/mpas_analysis/ocean/climatology_map_woa.py @@ -7,7 +7,7 @@ # # Additional copyright and license information can be found in the LICENSE file # distributed with this code, or at -# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/master/LICENSE +# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/main/LICENSE """ Analysis tasks for comparing Polar (and global) climatology maps against WOA18 climatological data. @@ -276,7 +276,7 @@ def __init__(self, parentTask, seasons, fileName, outFilePrefix, Parameters ---------- parentTask : ``AnalysisTask`` - The parent (master) task for this subtask + The parent (main) task for this subtask seasons : list of str A list of seasons (keys in ``constants.monthDictionary``) over diff --git a/mpas_analysis/ocean/compute_anomaly_subtask.py b/mpas_analysis/ocean/compute_anomaly_subtask.py index 78b7da8af..b2caf87e0 100644 --- a/mpas_analysis/ocean/compute_anomaly_subtask.py +++ b/mpas_analysis/ocean/compute_anomaly_subtask.py @@ -8,7 +8,7 @@ # # Additional copyright and license information can be found in the LICENSE file # distributed with this code, or at -# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/master/LICENSE +# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/main/LICENSE # import os diff --git a/mpas_analysis/ocean/compute_transects_subtask.py b/mpas_analysis/ocean/compute_transects_subtask.py index 58f4e7552..d2423896e 100644 --- a/mpas_analysis/ocean/compute_transects_subtask.py +++ b/mpas_analysis/ocean/compute_transects_subtask.py @@ -7,7 +7,7 @@ # # Additional copyright and license information can be found in the LICENSE file # distributed with this code, or at -# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/master/LICENSE +# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/main/LICENSE import numpy import xarray as xr import os diff --git a/mpas_analysis/ocean/compute_transects_with_vel_mag.py b/mpas_analysis/ocean/compute_transects_with_vel_mag.py index 0662317b5..2f69a065f 100644 --- a/mpas_analysis/ocean/compute_transects_with_vel_mag.py +++ b/mpas_analysis/ocean/compute_transects_with_vel_mag.py @@ -7,7 +7,7 @@ # # Additional copyright and license information can be found in the LICENSE file # distributed with this code, or at -# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/master/LICENSE +# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/main/LICENSE import numpy from mpas_analysis.ocean.compute_transects_subtask import \ diff --git a/mpas_analysis/ocean/geojson_transects.py b/mpas_analysis/ocean/geojson_transects.py index 84666cc27..df62d3512 100644 --- a/mpas_analysis/ocean/geojson_transects.py +++ b/mpas_analysis/ocean/geojson_transects.py @@ -7,7 +7,7 @@ # # Additional copyright and license information can be found in the LICENSE file # distributed with this code, or at -# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/master/LICENSE +# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/main/LICENSE from collections import OrderedDict import json import xarray diff --git a/mpas_analysis/ocean/histogram.py b/mpas_analysis/ocean/histogram.py index eb44753ff..bcd2041db 100644 --- a/mpas_analysis/ocean/histogram.py +++ b/mpas_analysis/ocean/histogram.py @@ -8,7 +8,7 @@ # # Additional copyright and license information can be found in the LICENSE file # distributed with this code, or at -# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/master/LICENSE +# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/main/LICENSE # import os import xarray diff --git a/mpas_analysis/ocean/hovmoller_ocean_regions.py b/mpas_analysis/ocean/hovmoller_ocean_regions.py index 8048fdb3c..e155d5110 100644 --- a/mpas_analysis/ocean/hovmoller_ocean_regions.py +++ b/mpas_analysis/ocean/hovmoller_ocean_regions.py @@ -8,7 +8,7 @@ # # Additional copyright and license information can be found in the LICENSE file # distributed with this code, or at -# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/master/LICENSE +# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/main/LICENSE # import os diff --git a/mpas_analysis/ocean/index_nino34.py b/mpas_analysis/ocean/index_nino34.py index 791cc3f4f..9bf05cbfd 100644 --- a/mpas_analysis/ocean/index_nino34.py +++ b/mpas_analysis/ocean/index_nino34.py @@ -8,7 +8,7 @@ # # Additional copyright and license information can be found in the LICENSE file # distributed with this code, or at -# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/master/LICENSE +# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/main/LICENSE # import datetime diff --git a/mpas_analysis/ocean/meridional_heat_transport.py b/mpas_analysis/ocean/meridional_heat_transport.py index 0d70e14de..7e62e587c 100644 --- a/mpas_analysis/ocean/meridional_heat_transport.py +++ b/mpas_analysis/ocean/meridional_heat_transport.py @@ -7,7 +7,7 @@ # # Additional copyright and license information can be found in the LICENSE file # distributed with this code, or at -# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/master/LICENSE +# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/main/LICENSE import xarray as xr import numpy as np diff --git a/mpas_analysis/ocean/ocean_regional_profiles.py b/mpas_analysis/ocean/ocean_regional_profiles.py index cf5c0d31a..30a288b4f 100644 --- a/mpas_analysis/ocean/ocean_regional_profiles.py +++ b/mpas_analysis/ocean/ocean_regional_profiles.py @@ -8,7 +8,7 @@ # # Additional copyright and license information can be found in the LICENSE file # distributed with this code, or at -# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/master/LICENSE +# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/main/LICENSE # import xarray as xr diff --git a/mpas_analysis/ocean/plot_depth_integrated_time_series_subtask.py b/mpas_analysis/ocean/plot_depth_integrated_time_series_subtask.py index 1e162696b..ee006390a 100644 --- a/mpas_analysis/ocean/plot_depth_integrated_time_series_subtask.py +++ b/mpas_analysis/ocean/plot_depth_integrated_time_series_subtask.py @@ -8,7 +8,7 @@ # # Additional copyright and license information can be found in the LICENSE file # distributed with this code, or at -# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/master/LICENSE +# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/main/LICENSE # import os diff --git a/mpas_analysis/ocean/plot_hovmoller_subtask.py b/mpas_analysis/ocean/plot_hovmoller_subtask.py index 16769e596..b0d830e5c 100644 --- a/mpas_analysis/ocean/plot_hovmoller_subtask.py +++ b/mpas_analysis/ocean/plot_hovmoller_subtask.py @@ -8,7 +8,7 @@ # # Additional copyright and license information can be found in the LICENSE file # distributed with this code, or at -# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/master/LICENSE +# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/main/LICENSE # import xarray as xr diff --git a/mpas_analysis/ocean/plot_transect_subtask.py b/mpas_analysis/ocean/plot_transect_subtask.py index 90b84eb2b..9dda317c9 100644 --- a/mpas_analysis/ocean/plot_transect_subtask.py +++ b/mpas_analysis/ocean/plot_transect_subtask.py @@ -7,7 +7,7 @@ # # Additional copyright and license information can be found in the LICENSE file # distributed with this code, or at -# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/master/LICENSE +# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/main/LICENSE """ An analysis subtasks for plotting comparison of a model transect against observations or reference data. @@ -116,7 +116,7 @@ def __init__(self, parentTask, season, transectName, fieldName, Parameters ---------- parentTask : ``AnalysisTask`` - The parent (master) task for this subtask + The parent (main) task for this subtask season : str A season (key in ``shared.constants.monthDictionary``) to be diff --git a/mpas_analysis/ocean/regional_ts_diagrams.py b/mpas_analysis/ocean/regional_ts_diagrams.py index 767916fe5..870113d31 100644 --- a/mpas_analysis/ocean/regional_ts_diagrams.py +++ b/mpas_analysis/ocean/regional_ts_diagrams.py @@ -7,7 +7,7 @@ # # Additional copyright and license information can be found in the LICENSE file # distributed with this code, or at -# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/master/LICENSE +# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/main/LICENSE import os import xarray import numpy diff --git a/mpas_analysis/ocean/remap_depth_slices_subtask.py b/mpas_analysis/ocean/remap_depth_slices_subtask.py index 54c42a105..490119cf5 100644 --- a/mpas_analysis/ocean/remap_depth_slices_subtask.py +++ b/mpas_analysis/ocean/remap_depth_slices_subtask.py @@ -7,7 +7,7 @@ # # Additional copyright and license information can be found in the LICENSE file # distributed with this code, or at -# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/master/LICENSE +# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/main/LICENSE import xarray as xr import numpy as np diff --git a/mpas_analysis/ocean/remap_sose_climatology.py b/mpas_analysis/ocean/remap_sose_climatology.py index c9ae5fe7e..fd188c85f 100644 --- a/mpas_analysis/ocean/remap_sose_climatology.py +++ b/mpas_analysis/ocean/remap_sose_climatology.py @@ -7,7 +7,7 @@ # # Additional copyright and license information can be found in the LICENSE file # distributed with this code, or at -# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/master/LICENSE +# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/main/LICENSE """ Analysis tasks for comparing Antarctic climatology maps against observations and reanalysis data. @@ -45,7 +45,7 @@ def __init__(self, parentTask, seasons, fileName, outFilePrefix, Parameters ---------- parentTask : ``AnalysisTask`` - The parent (master) task for this subtask + The parent (main) task for this subtask seasons : list of str A list of seasons (keys in ``constants.monthDictionary``) over diff --git a/mpas_analysis/ocean/sose_transects.py b/mpas_analysis/ocean/sose_transects.py index f1270a6f0..15b472620 100644 --- a/mpas_analysis/ocean/sose_transects.py +++ b/mpas_analysis/ocean/sose_transects.py @@ -7,7 +7,7 @@ # # Additional copyright and license information can be found in the LICENSE file # distributed with this code, or at -# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/master/LICENSE +# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/main/LICENSE import xarray as xr import numpy import os diff --git a/mpas_analysis/ocean/streamfunction_moc.py b/mpas_analysis/ocean/streamfunction_moc.py index fc0e2e2c6..1e2714870 100644 --- a/mpas_analysis/ocean/streamfunction_moc.py +++ b/mpas_analysis/ocean/streamfunction_moc.py @@ -8,7 +8,7 @@ # # Additional copyright and license information can be found in the LICENSE file # distributed with this code, or at -# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/master/LICENSE +# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/main/LICENSE # import xarray as xr diff --git a/mpas_analysis/ocean/time_series_antarctic_melt.py b/mpas_analysis/ocean/time_series_antarctic_melt.py index c429f521d..9b042bcf3 100644 --- a/mpas_analysis/ocean/time_series_antarctic_melt.py +++ b/mpas_analysis/ocean/time_series_antarctic_melt.py @@ -7,7 +7,7 @@ # # Additional copyright and license information can be found in the LICENSE file # distributed with this code, or at -# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/master/LICENSE +# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/main/LICENSE import os import xarray import numpy diff --git a/mpas_analysis/ocean/time_series_ocean_regions.py b/mpas_analysis/ocean/time_series_ocean_regions.py index 07a6b411e..027e34713 100644 --- a/mpas_analysis/ocean/time_series_ocean_regions.py +++ b/mpas_analysis/ocean/time_series_ocean_regions.py @@ -7,7 +7,7 @@ # # Additional copyright and license information can be found in the LICENSE file # distributed with this code, or at -# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/master/LICENSE +# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/main/LICENSE import os import xarray import numpy diff --git a/mpas_analysis/ocean/time_series_ohc_anomaly.py b/mpas_analysis/ocean/time_series_ohc_anomaly.py index aa4f7881d..ac258bcfe 100644 --- a/mpas_analysis/ocean/time_series_ohc_anomaly.py +++ b/mpas_analysis/ocean/time_series_ohc_anomaly.py @@ -8,7 +8,7 @@ # # Additional copyright and license information can be found in the LICENSE file # distributed with this code, or at -# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/master/LICENSE +# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/main/LICENSE # import xarray as xr diff --git a/mpas_analysis/ocean/time_series_salinity_anomaly.py b/mpas_analysis/ocean/time_series_salinity_anomaly.py index 7c7512b85..dd1929dd0 100644 --- a/mpas_analysis/ocean/time_series_salinity_anomaly.py +++ b/mpas_analysis/ocean/time_series_salinity_anomaly.py @@ -8,7 +8,7 @@ # # Additional copyright and license information can be found in the LICENSE file # distributed with this code, or at -# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/master/LICENSE +# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/main/LICENSE # from mpas_analysis.shared import AnalysisTask diff --git a/mpas_analysis/ocean/time_series_ssh_anomaly.py b/mpas_analysis/ocean/time_series_ssh_anomaly.py index 3d5d99233..9e981e2cd 100644 --- a/mpas_analysis/ocean/time_series_ssh_anomaly.py +++ b/mpas_analysis/ocean/time_series_ssh_anomaly.py @@ -8,7 +8,7 @@ # # Additional copyright and license information can be found in the LICENSE file # distributed with this code, or at -# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/master/LICENSE +# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/main/LICENSE # import numpy import matplotlib.pyplot as plt diff --git a/mpas_analysis/ocean/time_series_sst.py b/mpas_analysis/ocean/time_series_sst.py index c4e0d61f3..d67922ac5 100644 --- a/mpas_analysis/ocean/time_series_sst.py +++ b/mpas_analysis/ocean/time_series_sst.py @@ -7,7 +7,7 @@ # # Additional copyright and license information can be found in the LICENSE file # distributed with this code, or at -# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/master/LICENSE +# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/main/LICENSE from mpas_analysis.shared import AnalysisTask diff --git a/mpas_analysis/ocean/time_series_temperature_anomaly.py b/mpas_analysis/ocean/time_series_temperature_anomaly.py index 637585d53..73b74c39e 100644 --- a/mpas_analysis/ocean/time_series_temperature_anomaly.py +++ b/mpas_analysis/ocean/time_series_temperature_anomaly.py @@ -8,7 +8,7 @@ # # Additional copyright and license information can be found in the LICENSE file # distributed with this code, or at -# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/master/LICENSE +# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/main/LICENSE # from mpas_analysis.shared import AnalysisTask diff --git a/mpas_analysis/ocean/time_series_transport.py b/mpas_analysis/ocean/time_series_transport.py index eb508613f..a96648786 100644 --- a/mpas_analysis/ocean/time_series_transport.py +++ b/mpas_analysis/ocean/time_series_transport.py @@ -7,7 +7,7 @@ # # Additional copyright and license information can be found in the LICENSE file # distributed with this code, or at -# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/master/LICENSE +# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/main/LICENSE import os import xarray import numpy diff --git a/mpas_analysis/ocean/utility.py b/mpas_analysis/ocean/utility.py index 012aa8ebe..f615fd507 100644 --- a/mpas_analysis/ocean/utility.py +++ b/mpas_analysis/ocean/utility.py @@ -7,7 +7,7 @@ # # Additional copyright and license information can be found in the LICENSE file # distributed with this code, or at -# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/master/LICENSE +# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/main/LICENSE """ A utility for computing common ocean fields (e.g. zMid) from datasets """ diff --git a/mpas_analysis/ocean/woce_transects.py b/mpas_analysis/ocean/woce_transects.py index c7b6b54b8..2e3a68de7 100644 --- a/mpas_analysis/ocean/woce_transects.py +++ b/mpas_analysis/ocean/woce_transects.py @@ -7,7 +7,7 @@ # # Additional copyright and license information can be found in the LICENSE file # distributed with this code, or at -# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/master/LICENSE +# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/main/LICENSE from mpas_analysis.shared import AnalysisTask from mpas_analysis.ocean.compute_transects_subtask import \ ComputeTransectsSubtask, TransectsObservations diff --git a/mpas_analysis/sea_ice/climatology_map_sea_ice_conc.py b/mpas_analysis/sea_ice/climatology_map_sea_ice_conc.py index ed7901bcc..0fc3da8c7 100644 --- a/mpas_analysis/sea_ice/climatology_map_sea_ice_conc.py +++ b/mpas_analysis/sea_ice/climatology_map_sea_ice_conc.py @@ -7,7 +7,7 @@ # # Additional copyright and license information can be found in the LICENSE file # distributed with this code, or at -# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/master/LICENSE +# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/main/LICENSE import xarray as xr from pyremap import LatLonGridDescriptor diff --git a/mpas_analysis/sea_ice/climatology_map_sea_ice_thick.py b/mpas_analysis/sea_ice/climatology_map_sea_ice_thick.py index 82348dda0..49e64478b 100644 --- a/mpas_analysis/sea_ice/climatology_map_sea_ice_thick.py +++ b/mpas_analysis/sea_ice/climatology_map_sea_ice_thick.py @@ -7,7 +7,7 @@ # # Additional copyright and license information can be found in the LICENSE file # distributed with this code, or at -# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/master/LICENSE +# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/main/LICENSE import xarray as xr from pyremap import LatLonGridDescriptor diff --git a/mpas_analysis/sea_ice/time_series.py b/mpas_analysis/sea_ice/time_series.py index b22371035..05ea0599d 100644 --- a/mpas_analysis/sea_ice/time_series.py +++ b/mpas_analysis/sea_ice/time_series.py @@ -7,7 +7,7 @@ # # Additional copyright and license information can be found in the LICENSE file # distributed with this code, or at -# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/master/LICENSE +# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/main/LICENSE import xarray as xr diff --git a/mpas_analysis/shared/analysis_task.py b/mpas_analysis/shared/analysis_task.py index 5b0f87500..38e15311c 100644 --- a/mpas_analysis/shared/analysis_task.py +++ b/mpas_analysis/shared/analysis_task.py @@ -7,7 +7,7 @@ # # Additional copyright and license information can be found in the LICENSE file # distributed with this code, or at -# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/master/LICENSE +# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/main/LICENSE """ Defines the base class for analysis tasks. """ diff --git a/mpas_analysis/shared/climatology/climatology.py b/mpas_analysis/shared/climatology/climatology.py index 159549606..3933a1c67 100644 --- a/mpas_analysis/shared/climatology/climatology.py +++ b/mpas_analysis/shared/climatology/climatology.py @@ -7,7 +7,7 @@ # # Additional copyright and license information can be found in the LICENSE file # distributed with this code, or at -# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/master/LICENSE +# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/main/LICENSE """ Functions for creating climatologies from monthly time series data """ diff --git a/mpas_analysis/shared/climatology/comparison_descriptors.py b/mpas_analysis/shared/climatology/comparison_descriptors.py index cfaf40389..1929c1c83 100644 --- a/mpas_analysis/shared/climatology/comparison_descriptors.py +++ b/mpas_analysis/shared/climatology/comparison_descriptors.py @@ -7,7 +7,7 @@ # # Additional copyright and license information can be found in the LICENSE file # distributed with this code, or at -# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/master/LICENSE +# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/main/LICENSE """ Functions for creating climatologies from monthly time series data """ diff --git a/mpas_analysis/shared/climatology/mpas_climatology_task.py b/mpas_analysis/shared/climatology/mpas_climatology_task.py index 8a077d3a3..d9d4dd488 100644 --- a/mpas_analysis/shared/climatology/mpas_climatology_task.py +++ b/mpas_analysis/shared/climatology/mpas_climatology_task.py @@ -7,7 +7,7 @@ # # Additional copyright and license information can be found in the LICENSE file # distributed with this code, or at -# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/master/LICENSE +# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/main/LICENSE import xarray import os diff --git a/mpas_analysis/shared/climatology/ref_year_mpas_climatology_task.py b/mpas_analysis/shared/climatology/ref_year_mpas_climatology_task.py index 7f13f1046..e186734a8 100644 --- a/mpas_analysis/shared/climatology/ref_year_mpas_climatology_task.py +++ b/mpas_analysis/shared/climatology/ref_year_mpas_climatology_task.py @@ -7,7 +7,7 @@ # # Additional copyright and license information can be found in the LICENSE file # distributed with this code, or at -# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/master/LICENSE +# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/main/LICENSE from io import StringIO diff --git a/mpas_analysis/shared/climatology/remap_mpas_climatology_subtask.py b/mpas_analysis/shared/climatology/remap_mpas_climatology_subtask.py index 2e08075c2..4299acd3e 100644 --- a/mpas_analysis/shared/climatology/remap_mpas_climatology_subtask.py +++ b/mpas_analysis/shared/climatology/remap_mpas_climatology_subtask.py @@ -7,7 +7,7 @@ # # Additional copyright and license information can be found in the LICENSE file # distributed with this code, or at -# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/master/LICENSE +# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/main/LICENSE import xarray as xr import numpy diff --git a/mpas_analysis/shared/climatology/remap_observed_climatology_subtask.py b/mpas_analysis/shared/climatology/remap_observed_climatology_subtask.py index 4450d7afe..0d74402a8 100644 --- a/mpas_analysis/shared/climatology/remap_observed_climatology_subtask.py +++ b/mpas_analysis/shared/climatology/remap_observed_climatology_subtask.py @@ -7,7 +7,7 @@ # # Additional copyright and license information can be found in the LICENSE file # distributed with this code, or at -# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/master/LICENSE +# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/main/LICENSE import os import os.path import xarray as xr @@ -63,7 +63,7 @@ def __init__(self, parentTask, seasons, fileName, outFilePrefix, Parameters ---------- parentTask : ``AnalysisTask`` - The parent (master) task for this subtask + The parent (main) task for this subtask seasons : list of str A list of seasons (keys in ``constants.monthDictionary``) over diff --git a/mpas_analysis/shared/constants/constants.py b/mpas_analysis/shared/constants/constants.py index 49dfed947..86557ecb5 100644 --- a/mpas_analysis/shared/constants/constants.py +++ b/mpas_analysis/shared/constants/constants.py @@ -7,7 +7,7 @@ # # Additional copyright and license information can be found in the LICENSE file # distributed with this code, or at -# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/master/LICENSE +# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/main/LICENSE """ Constants that are common to all analysis tasks """ diff --git a/mpas_analysis/shared/containers.py b/mpas_analysis/shared/containers.py index 519f0f0bb..3e549d751 100644 --- a/mpas_analysis/shared/containers.py +++ b/mpas_analysis/shared/containers.py @@ -8,7 +8,7 @@ # # Additional copyright and license information can be found in the LICENSE file # distributed with this code, or at -# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/master/LICENSE +# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/main/LICENSE """ Module of custom container data types diff --git a/mpas_analysis/shared/generalized_reader/generalized_reader.py b/mpas_analysis/shared/generalized_reader/generalized_reader.py index 8e0e7ce11..2b0116fe5 100644 --- a/mpas_analysis/shared/generalized_reader/generalized_reader.py +++ b/mpas_analysis/shared/generalized_reader/generalized_reader.py @@ -7,7 +7,7 @@ # # Additional copyright and license information can be found in the LICENSE file # distributed with this code, or at -# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/master/LICENSE +# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/main/LICENSE """ Utility functions for importing MPAS files into xarray. These functions extend the capabilities of mpas_xarray to include mapping variable names from MPAS diff --git a/mpas_analysis/shared/html/image_xml.py b/mpas_analysis/shared/html/image_xml.py index 4f820ff0c..0bbab7d30 100644 --- a/mpas_analysis/shared/html/image_xml.py +++ b/mpas_analysis/shared/html/image_xml.py @@ -7,7 +7,7 @@ # # Additional copyright and license information can be found in the LICENSE file # distributed with this code, or at -# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/master/LICENSE +# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/main/LICENSE import os import sys diff --git a/mpas_analysis/shared/html/pages.py b/mpas_analysis/shared/html/pages.py index 96afb21d0..7392dad4b 100644 --- a/mpas_analysis/shared/html/pages.py +++ b/mpas_analysis/shared/html/pages.py @@ -7,7 +7,7 @@ # # Additional copyright and license information can be found in the LICENSE file # distributed with this code, or at -# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/master/LICENSE +# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/main/LICENSE import pkg_resources from os import makedirs diff --git a/mpas_analysis/shared/html/templates/style.css b/mpas_analysis/shared/html/templates/style.css index 84267d7d7..9b54e23bc 100644 --- a/mpas_analysis/shared/html/templates/style.css +++ b/mpas_analysis/shared/html/templates/style.css @@ -8,7 +8,7 @@ / / Additional copyright and license information can be found in the LICENSE file / distributed with this code, or at -/ https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/master/LICENSE +/ https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/main/LICENSE / */ diff --git a/mpas_analysis/shared/interpolation/interp_1d.py b/mpas_analysis/shared/interpolation/interp_1d.py index 8f4eabce1..e6f583119 100644 --- a/mpas_analysis/shared/interpolation/interp_1d.py +++ b/mpas_analysis/shared/interpolation/interp_1d.py @@ -7,7 +7,7 @@ # # Additional copyright and license information can be found in the LICENSE file # distributed with this code, or at -# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/master/LICENSE +# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/main/LICENSE import numpy import xarray diff --git a/mpas_analysis/shared/interpolation/utility.py b/mpas_analysis/shared/interpolation/utility.py index 6d846cbde..01019e86d 100644 --- a/mpas_analysis/shared/interpolation/utility.py +++ b/mpas_analysis/shared/interpolation/utility.py @@ -8,7 +8,7 @@ # # Additional copyright and license information can be found in the LICENSE file # distributed with this code, or at -# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/master/LICENSE +# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/main/LICENSE import numpy import xarray diff --git a/mpas_analysis/shared/io/download.py b/mpas_analysis/shared/io/download.py index 24e6c712d..60ada1dc6 100644 --- a/mpas_analysis/shared/io/download.py +++ b/mpas_analysis/shared/io/download.py @@ -8,7 +8,7 @@ # # Additional copyright and license information can be found in the LICENSE file # distributed with this code, or at -# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/master/LICENSE +# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/main/LICENSE """ Utilities for downloading files diff --git a/mpas_analysis/shared/io/mpas_reader.py b/mpas_analysis/shared/io/mpas_reader.py index 7cd986a16..f9568f71d 100644 --- a/mpas_analysis/shared/io/mpas_reader.py +++ b/mpas_analysis/shared/io/mpas_reader.py @@ -7,7 +7,7 @@ # # Additional copyright and license information can be found in the LICENSE file # distributed with this code, or at -# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/master/LICENSE +# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/main/LICENSE """ Utility functions for reading a single MPAS file into xarray and for removing all but a given list of variables from a data set. diff --git a/mpas_analysis/shared/io/namelist_streams_interface.py b/mpas_analysis/shared/io/namelist_streams_interface.py index f226203d0..758afde28 100644 --- a/mpas_analysis/shared/io/namelist_streams_interface.py +++ b/mpas_analysis/shared/io/namelist_streams_interface.py @@ -8,7 +8,7 @@ # # Additional copyright and license information can be found in the LICENSE file # distributed with this code, or at -# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/master/LICENSE +# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/main/LICENSE """ Module of classes/routines to manipulate fortran namelist and streams files. diff --git a/mpas_analysis/shared/io/utility.py b/mpas_analysis/shared/io/utility.py index 15a49dd81..cadb72ce4 100644 --- a/mpas_analysis/shared/io/utility.py +++ b/mpas_analysis/shared/io/utility.py @@ -7,7 +7,7 @@ # # Additional copyright and license information can be found in the LICENSE file # distributed with this code, or at -# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/master/LICENSE +# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/main/LICENSE """ IO utility functions diff --git a/mpas_analysis/shared/io/write_netcdf.py b/mpas_analysis/shared/io/write_netcdf.py index a5646711a..d49c09124 100644 --- a/mpas_analysis/shared/io/write_netcdf.py +++ b/mpas_analysis/shared/io/write_netcdf.py @@ -7,7 +7,7 @@ # # Additional copyright and license information can be found in the LICENSE file # distributed with this code, or at -# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/master/LICENSE +# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/main/LICENSE import netCDF4 import numpy diff --git a/mpas_analysis/shared/mpas_xarray/mpas_xarray.py b/mpas_analysis/shared/mpas_xarray/mpas_xarray.py index f2f477077..fbffcefbf 100644 --- a/mpas_analysis/shared/mpas_xarray/mpas_xarray.py +++ b/mpas_analysis/shared/mpas_xarray/mpas_xarray.py @@ -7,7 +7,7 @@ # # Additional copyright and license information can be found in the LICENSE file # distributed with this code, or at -# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/master/LICENSE +# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/main/LICENSE import numpy as np import xarray diff --git a/mpas_analysis/shared/plot/climatology_map.py b/mpas_analysis/shared/plot/climatology_map.py index abbf9f4ec..1a81ca4b3 100644 --- a/mpas_analysis/shared/plot/climatology_map.py +++ b/mpas_analysis/shared/plot/climatology_map.py @@ -7,7 +7,7 @@ # # Additional copyright and license information can be found in the LICENSE file # distributed with this code, or at -# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/master/LICENSE +# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/main/LICENSE """ Functions for plotting remapped horizontal fields (and comparing with reference data sets) diff --git a/mpas_analysis/shared/plot/colormap.py b/mpas_analysis/shared/plot/colormap.py index 7a979cb74..66b117995 100644 --- a/mpas_analysis/shared/plot/colormap.py +++ b/mpas_analysis/shared/plot/colormap.py @@ -7,7 +7,7 @@ # # Additional copyright and license information can be found in the LICENSE file # distributed with this code, or at -# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/master/LICENSE +# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/main/LICENSE """ Utilities for handling color maps and color bars """ diff --git a/mpas_analysis/shared/plot/histogram.py b/mpas_analysis/shared/plot/histogram.py index 29e8f42bb..83d247349 100644 --- a/mpas_analysis/shared/plot/histogram.py +++ b/mpas_analysis/shared/plot/histogram.py @@ -7,7 +7,7 @@ # # Additional copyright and license information can be found in the LICENSE file # distributed with this code, or at -# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/master/LICENSE +# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/main/LICENSE """ Functions for plotting histograms (and comparing with reference data sets) """ diff --git a/mpas_analysis/shared/plot/inset.py b/mpas_analysis/shared/plot/inset.py index c2874ed1e..f9109be79 100644 --- a/mpas_analysis/shared/plot/inset.py +++ b/mpas_analysis/shared/plot/inset.py @@ -7,7 +7,7 @@ # # Additional copyright and license information can be found in the LICENSE file # distributed with this code, or at -# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/master/LICENSE +# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/main/LICENSE """ Functions for plotting inset maps in plots (e.g. for transects) """ diff --git a/mpas_analysis/shared/plot/oned.py b/mpas_analysis/shared/plot/oned.py index 7cfd70e19..e724f7b82 100644 --- a/mpas_analysis/shared/plot/oned.py +++ b/mpas_analysis/shared/plot/oned.py @@ -7,7 +7,7 @@ # # Additional copyright and license information can be found in the LICENSE file # distributed with this code, or at -# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/master/LICENSE +# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/main/LICENSE """ Plotting utilities, including routines for plotting: * time series (and comparing with reference data sets) diff --git a/mpas_analysis/shared/plot/plot_climatology_map_subtask.py b/mpas_analysis/shared/plot/plot_climatology_map_subtask.py index b9d913954..aa8c72c0e 100644 --- a/mpas_analysis/shared/plot/plot_climatology_map_subtask.py +++ b/mpas_analysis/shared/plot/plot_climatology_map_subtask.py @@ -7,7 +7,7 @@ # # Additional copyright and license information can be found in the LICENSE file # distributed with this code, or at -# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/master/LICENSE +# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/main/LICENSE import xarray as xr import numpy as np @@ -119,7 +119,7 @@ def __init__(self, parentTask, season, comparisonGridName, Parameters ---------- parentTask : mpas_analysis.shared.AnalysisTask - The parent (master) task for this subtask + The parent (main) task for this subtask season : str A season (key in ``shared.constants.monthDictionary``) to be diff --git a/mpas_analysis/shared/plot/save.py b/mpas_analysis/shared/plot/save.py index d91523c38..2629397fd 100644 --- a/mpas_analysis/shared/plot/save.py +++ b/mpas_analysis/shared/plot/save.py @@ -7,7 +7,7 @@ # # Additional copyright and license information can be found in the LICENSE file # distributed with this code, or at -# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/master/LICENSE +# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/main/LICENSE import os diff --git a/mpas_analysis/shared/plot/ticks.py b/mpas_analysis/shared/plot/ticks.py index e62c05373..7331772ee 100644 --- a/mpas_analysis/shared/plot/ticks.py +++ b/mpas_analysis/shared/plot/ticks.py @@ -7,7 +7,7 @@ # # Additional copyright and license information can be found in the LICENSE file # distributed with this code, or at -# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/master/LICENSE +# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/main/LICENSE # Authors # ------- # Xylar Asay-Davis, Milena Veneziani, Luke Van Roekel, Greg Streletz diff --git a/mpas_analysis/shared/plot/time_series.py b/mpas_analysis/shared/plot/time_series.py index 87a03c049..79b81d365 100644 --- a/mpas_analysis/shared/plot/time_series.py +++ b/mpas_analysis/shared/plot/time_series.py @@ -7,7 +7,7 @@ # # Additional copyright and license information can be found in the LICENSE file # distributed with this code, or at -# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/master/LICENSE +# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/main/LICENSE """ Functions for plotting time series (and comparing with reference data sets) """ diff --git a/mpas_analysis/shared/plot/vertical_section.py b/mpas_analysis/shared/plot/vertical_section.py index d2387ebb2..cbfcba8b9 100644 --- a/mpas_analysis/shared/plot/vertical_section.py +++ b/mpas_analysis/shared/plot/vertical_section.py @@ -7,7 +7,7 @@ # # Additional copyright and license information can be found in the LICENSE file # distributed with this code, or at -# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/master/LICENSE +# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/main/LICENSE """ Funcitons for plotting vertical sections, both alone and as comparisons between runs or with observations diff --git a/mpas_analysis/shared/projection/__init__.py b/mpas_analysis/shared/projection/__init__.py index d68362308..5e0c83c68 100644 --- a/mpas_analysis/shared/projection/__init__.py +++ b/mpas_analysis/shared/projection/__init__.py @@ -7,7 +7,7 @@ # # Additional copyright and license information can be found in the LICENSE file # distributed with this code, or at -# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/master/LICENSE +# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/main/LICENSE import pyproj import cartopy diff --git a/mpas_analysis/shared/regions/compute_region_masks.py b/mpas_analysis/shared/regions/compute_region_masks.py index d5031847a..4128d9a37 100644 --- a/mpas_analysis/shared/regions/compute_region_masks.py +++ b/mpas_analysis/shared/regions/compute_region_masks.py @@ -7,7 +7,7 @@ # # Additional copyright and license information can be found in the LICENSE file # distributed with this code, or at -# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/master/LICENSE +# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/main/LICENSE from mpas_analysis.shared.analysis_task import AnalysisTask from mpas_analysis.shared.regions.compute_region_masks_subtask \ diff --git a/mpas_analysis/shared/regions/compute_region_masks_subtask.py b/mpas_analysis/shared/regions/compute_region_masks_subtask.py index 0bd4ca494..42c0faa10 100644 --- a/mpas_analysis/shared/regions/compute_region_masks_subtask.py +++ b/mpas_analysis/shared/regions/compute_region_masks_subtask.py @@ -7,7 +7,7 @@ # # Additional copyright and license information can be found in the LICENSE file # distributed with this code, or at -# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/master/LICENSE +# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/main/LICENSE import os import xarray as xr diff --git a/mpas_analysis/shared/time_series/anomaly.py b/mpas_analysis/shared/time_series/anomaly.py index 0f75fdcaf..16f28dbc6 100644 --- a/mpas_analysis/shared/time_series/anomaly.py +++ b/mpas_analysis/shared/time_series/anomaly.py @@ -8,7 +8,7 @@ # # Additional copyright and license information can be found in the LICENSE file # distributed with this code, or at -# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/master/LICENSE +# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/main/LICENSE # from mpas_analysis.shared.io import open_mpas_dataset diff --git a/mpas_analysis/shared/time_series/moving_average.py b/mpas_analysis/shared/time_series/moving_average.py index 025328cdc..810579a50 100644 --- a/mpas_analysis/shared/time_series/moving_average.py +++ b/mpas_analysis/shared/time_series/moving_average.py @@ -8,7 +8,7 @@ # # Additional copyright and license information can be found in the LICENSE file # distributed with this code, or at -# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/master/LICENSE +# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/main/LICENSE # diff --git a/mpas_analysis/shared/time_series/mpas_time_series_task.py b/mpas_analysis/shared/time_series/mpas_time_series_task.py index ff26869c3..27eac4bf0 100644 --- a/mpas_analysis/shared/time_series/mpas_time_series_task.py +++ b/mpas_analysis/shared/time_series/mpas_time_series_task.py @@ -7,7 +7,7 @@ # # Additional copyright and license information can be found in the LICENSE file # distributed with this code, or at -# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/master/LICENSE +# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/main/LICENSE import os import subprocess diff --git a/mpas_analysis/shared/time_series/time_series.py b/mpas_analysis/shared/time_series/time_series.py index 77a9173b9..589cee3b4 100644 --- a/mpas_analysis/shared/time_series/time_series.py +++ b/mpas_analysis/shared/time_series/time_series.py @@ -7,7 +7,7 @@ # # Additional copyright and license information can be found in the LICENSE file # distributed with this code, or at -# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/master/LICENSE +# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/main/LICENSE """ Utility functions related to time-series data sets """ diff --git a/mpas_analysis/shared/timekeeping/MpasRelativeDelta.py b/mpas_analysis/shared/timekeeping/MpasRelativeDelta.py index 3e9bfbfa5..a1eac0112 100644 --- a/mpas_analysis/shared/timekeeping/MpasRelativeDelta.py +++ b/mpas_analysis/shared/timekeeping/MpasRelativeDelta.py @@ -7,7 +7,7 @@ # # Additional copyright and license information can be found in the LICENSE file # distributed with this code, or at -# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/master/LICENSE +# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/main/LICENSE import datetime from dateutil.relativedelta import relativedelta diff --git a/mpas_analysis/shared/timekeeping/utility.py b/mpas_analysis/shared/timekeeping/utility.py index 5bd023fc8..f526001e2 100644 --- a/mpas_analysis/shared/timekeeping/utility.py +++ b/mpas_analysis/shared/timekeeping/utility.py @@ -7,7 +7,7 @@ # # Additional copyright and license information can be found in the LICENSE file # distributed with this code, or at -# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/master/LICENSE +# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/main/LICENSE """ Time keeping utility functions """ diff --git a/mpas_analysis/shared/transects/compute_transect_masks_subtask.py b/mpas_analysis/shared/transects/compute_transect_masks_subtask.py index 0c410c863..262cadd28 100644 --- a/mpas_analysis/shared/transects/compute_transect_masks_subtask.py +++ b/mpas_analysis/shared/transects/compute_transect_masks_subtask.py @@ -7,7 +7,7 @@ # # Additional copyright and license information can be found in the LICENSE file # distributed with this code, or at -# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/master/LICENSE +# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/main/LICENSE import os import xarray as xr diff --git a/mpas_analysis/test/test_analysis_task.py b/mpas_analysis/test/test_analysis_task.py index e88ade3c7..2080248e9 100644 --- a/mpas_analysis/test/test_analysis_task.py +++ b/mpas_analysis/test/test_analysis_task.py @@ -7,7 +7,7 @@ # # Additional copyright and license information can be found in the LICENSE file # distributed with this code, or at -# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/master/LICENSE +# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/main/LICENSE """ Unit tests for utility functions in AnalysisTask diff --git a/mpas_analysis/test/test_climatology.py b/mpas_analysis/test/test_climatology.py index f9053644d..09e936eb9 100644 --- a/mpas_analysis/test/test_climatology.py +++ b/mpas_analysis/test/test_climatology.py @@ -7,7 +7,7 @@ # # Additional copyright and license information can be found in the LICENSE file # distributed with this code, or at -# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/master/LICENSE +# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/main/LICENSE """ Unit test infrastructure for climatologies. diff --git a/mpas_analysis/test/test_generalized_reader.py b/mpas_analysis/test/test_generalized_reader.py index 93aaeeec5..b5a35dc7a 100644 --- a/mpas_analysis/test/test_generalized_reader.py +++ b/mpas_analysis/test/test_generalized_reader.py @@ -7,7 +7,7 @@ # # Additional copyright and license information can be found in the LICENSE file # distributed with this code, or at -# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/master/LICENSE +# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/main/LICENSE """ Unit test infrastructure for the generalized_reader. diff --git a/mpas_analysis/test/test_io_utility.py b/mpas_analysis/test/test_io_utility.py index a201cc184..5b441987d 100644 --- a/mpas_analysis/test/test_io_utility.py +++ b/mpas_analysis/test/test_io_utility.py @@ -7,7 +7,7 @@ # # Additional copyright and license information can be found in the LICENSE file # distributed with this code, or at -# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/master/LICENSE +# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/main/LICENSE """ Unit test infrastructure, adapted from approach of xarray. diff --git a/mpas_analysis/test/test_mpas_climatology_task.py b/mpas_analysis/test/test_mpas_climatology_task.py index 4ed49717a..9d5e92d50 100644 --- a/mpas_analysis/test/test_mpas_climatology_task.py +++ b/mpas_analysis/test/test_mpas_climatology_task.py @@ -7,7 +7,7 @@ # # Additional copyright and license information can be found in the LICENSE file # distributed with this code, or at -# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/master/LICENSE +# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/main/LICENSE """ Unit test infrastructure for MpasClimatologyTask. diff --git a/mpas_analysis/test/test_mpas_xarray.py b/mpas_analysis/test/test_mpas_xarray.py index 71f916591..a8004dfea 100644 --- a/mpas_analysis/test/test_mpas_xarray.py +++ b/mpas_analysis/test/test_mpas_xarray.py @@ -7,7 +7,7 @@ # # Additional copyright and license information can be found in the LICENSE file # distributed with this code, or at -# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/master/LICENSE +# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/main/LICENSE """ Unit test infrastructure for mpas_xarray. diff --git a/mpas_analysis/test/test_namelist_streams_interface.py b/mpas_analysis/test/test_namelist_streams_interface.py index 873320210..92d25e7d1 100644 --- a/mpas_analysis/test/test_namelist_streams_interface.py +++ b/mpas_analysis/test/test_namelist_streams_interface.py @@ -7,7 +7,7 @@ # # Additional copyright and license information can be found in the LICENSE file # distributed with this code, or at -# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/master/LICENSE +# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/main/LICENSE """ Unit test infrastructure for namelist and streams readers, adapted from approach of xarray. diff --git a/mpas_analysis/test/test_open_mpas_dataset.py b/mpas_analysis/test/test_open_mpas_dataset.py index 953b324a2..fde7d8048 100644 --- a/mpas_analysis/test/test_open_mpas_dataset.py +++ b/mpas_analysis/test/test_open_mpas_dataset.py @@ -7,7 +7,7 @@ # # Additional copyright and license information can be found in the LICENSE file # distributed with this code, or at -# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/master/LICENSE +# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/main/LICENSE """ Unit test infrastructure for the generalized_reader. diff --git a/mpas_analysis/test/test_remap_obs_clim_subtask.py b/mpas_analysis/test/test_remap_obs_clim_subtask.py index 5a33bd0cc..378356927 100644 --- a/mpas_analysis/test/test_remap_obs_clim_subtask.py +++ b/mpas_analysis/test/test_remap_obs_clim_subtask.py @@ -7,7 +7,7 @@ # # Additional copyright and license information can be found in the LICENSE file # distributed with this code, or at -# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/master/LICENSE +# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/main/LICENSE """ Unit test infrastructure for MpasClimatologyTask. diff --git a/mpas_analysis/test/test_remap_obs_clim_subtask/remap_mld_obs.py b/mpas_analysis/test/test_remap_obs_clim_subtask/remap_mld_obs.py index 12aee8f69..0d6751de0 100644 --- a/mpas_analysis/test/test_remap_obs_clim_subtask/remap_mld_obs.py +++ b/mpas_analysis/test/test_remap_obs_clim_subtask/remap_mld_obs.py @@ -7,7 +7,7 @@ # # Additional copyright and license information can be found in the LICENSE file # distributed with this code, or at -# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/master/LICENSE +# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/main/LICENSE import numpy from pyremap import LatLonGridDescriptor, Remapper diff --git a/mpas_analysis/test/test_timekeeping.py b/mpas_analysis/test/test_timekeeping.py index 52952f495..4ba963def 100644 --- a/mpas_analysis/test/test_timekeeping.py +++ b/mpas_analysis/test/test_timekeeping.py @@ -7,7 +7,7 @@ # # Additional copyright and license information can be found in the LICENSE file # distributed with this code, or at -# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/master/LICENSE +# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/main/LICENSE """ Unit test infrastructure for the Date class """ diff --git a/preprocess_observations/preprocess_SOSE_data.py b/preprocess_observations/preprocess_SOSE_data.py index a2acfa946..3f6c16ea8 100755 --- a/preprocess_observations/preprocess_SOSE_data.py +++ b/preprocess_observations/preprocess_SOSE_data.py @@ -8,7 +8,7 @@ # # Additional copyright and license information can be found in the LICENSE file # distributed with this code, or at -# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/master/LICENSE +# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/main/LICENSE """ A script for downloading and preprocessing data sets from SOSE for use in diff --git a/preprocess_observations/preprocess_Schmidtko_data.py b/preprocess_observations/preprocess_Schmidtko_data.py index ad07760d8..2a1d70236 100755 --- a/preprocess_observations/preprocess_Schmidtko_data.py +++ b/preprocess_observations/preprocess_Schmidtko_data.py @@ -8,7 +8,7 @@ # # Additional copyright and license information can be found in the LICENSE file # distributed with this code, or at -# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/master/LICENSE +# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/main/LICENSE """ A script for downloading and preprocessing data sets from Schmidtko et al. diff --git a/preprocess_observations/remap_rignot.py b/preprocess_observations/remap_rignot.py index fa71a27b4..952de79e0 100644 --- a/preprocess_observations/remap_rignot.py +++ b/preprocess_observations/remap_rignot.py @@ -7,7 +7,7 @@ # # Additional copyright and license information can be found in the LICENSE file # distributed with this code, or at -# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/master/LICENSE +# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/main/LICENSE import numpy import xarray import matplotlib.pyplot as plt diff --git a/setup.py b/setup.py index f1e97a248..684a075d4 100755 --- a/setup.py +++ b/setup.py @@ -8,7 +8,7 @@ # # Additional copyright and license information can be found in the LICENSE file # distributed with this code, or at -# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/master/LICENSE +# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/main/LICENSE from setuptools import setup, find_packages import os diff --git a/suite/run_suite.bash b/suite/run_suite.bash index 68b168734..a020f935a 100755 --- a/suite/run_suite.bash +++ b/suite/run_suite.bash @@ -27,9 +27,9 @@ do conda deactivate done -# create another env for testing xarray master branch +# create another env for testing xarray main branch py=${main_py} -env=test_mpas_analysis_xarray_master +env=test_mpas_analysis_xarray_main mamba create --yes --quiet --name ${env} --use-local python=${py} \ mpas-analysis pytest conda activate ${env} @@ -54,7 +54,7 @@ machine=$(python -c "from mache import discover_machine; print(discover_machine( ./suite/setup.py -p ${py} -r main_vs_ctrl -b ${branch} ./suite/setup.py -p ${py} -r no_polar_regions -b ${branch} --no_polar_regions ./suite/setup.py -p ${py} -r mesh_rename -b ${branch} -./suite/setup.py -p ${py} -r xarray_master -b ${branch} -e test_mpas_analysis_xarray_master +./suite/setup.py -p ${py} -r xarray_main -b ${branch} -e test_mpas_analysis_xarray_main conda deactivate py=${alt_py} @@ -76,7 +76,7 @@ sbatch --dependency=afterok:${RES##* } job_script.bash --kill-on-invalid-dep=yes cd .. for run in main_py${alt_py} wc_defaults no_ncclimo no_polar_regions \ - mesh_rename xarray_master + mesh_rename xarray_main do cd ${run} echo ${run} diff --git a/utility_scripts/README.md b/utility_scripts/README.md index b8778304a..4a1d65c5b 100644 --- a/utility_scripts/README.md +++ b/utility_scripts/README.md @@ -1,7 +1,7 @@ To use these utilities, either move them up one directory or make a symlink to `../mpas_analysis` here. -Utilities for remapping are now in the [pyremap repo](https://github.com/MPAS-Dev/pyremap/tree/master/examples). +Utilities for remapping are now in the [pyremap repo](https://github.com/MPAS-Dev/pyremap/tree/main/examples). Currently the only utility, `make_region_mask.py`, is for efficiently creating region mask files for later use by MPAS-Analysis or other MPAS components or diff --git a/utility_scripts/make_ismip6_region_masks.py b/utility_scripts/make_ismip6_region_masks.py index 1b30f6b53..6b2b7e515 100755 --- a/utility_scripts/make_ismip6_region_masks.py +++ b/utility_scripts/make_ismip6_region_masks.py @@ -8,7 +8,7 @@ # # Additional copyright and license information can be found in the LICENSE file # distributed with this code, or at -# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/master/LICENSE +# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/main/LICENSE """ Creates a region mask file from ISMIP6 regions on the ISMIP6 8km polar diff --git a/utility_scripts/make_region_mask.py b/utility_scripts/make_region_mask.py index 60dc64849..d00f039ad 100755 --- a/utility_scripts/make_region_mask.py +++ b/utility_scripts/make_region_mask.py @@ -8,7 +8,7 @@ # # Additional copyright and license information can be found in the LICENSE file # distributed with this code, or at -# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/master/LICENSE +# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/main/LICENSE ''' Creates a region mask file from a geojson file defining the regions and a mesh From 030e347ed5491124ee97251c7e43ae888bd10f4f Mon Sep 17 00:00:00 2001 From: Xylar Asay-Davis Date: Thu, 12 Jan 2023 11:08:24 +0100 Subject: [PATCH 30/86] Fix updating base env in Azure tests --- azure-pipelines.yml | 16 +++++++++++++--- 1 file changed, 13 insertions(+), 3 deletions(-) diff --git a/azure-pipelines.yml b/azure-pipelines.yml index e30fa1b7a..6089bc336 100644 --- a/azure-pipelines.yml +++ b/azure-pipelines.yml @@ -37,7 +37,11 @@ jobs: eval "$(conda shell.bash hook)" conda config --add channels conda-forge conda config --set channel_priority strict - conda install --yes "conda!=22.11.0" conda-build mamba boa + conda update --yes --all + conda install --yes mamba + # workaround based on recent failures + rm /usr/share/miniconda/pkgs/cache/*.json + mamba install --yes conda-build boa displayName: Update conda base environment - bash: | @@ -158,7 +162,11 @@ jobs: eval "$(conda shell.bash hook)" conda config --add channels conda-forge conda config --set channel_priority strict - conda install --yes python=$PYTHON_VERSION "conda!=22.11.0" conda-build mamba boa + conda update --yes --all + conda install --yes mamba + # workaround based on recent failures + rm /usr/share/miniconda/pkgs/cache/*.json + mamba install --yes conda-build boa displayName: Update conda base environment - bash: | @@ -213,7 +221,9 @@ jobs: eval "$(conda shell.bash hook)" conda config --add channels conda-forge conda config --set channel_priority strict - conda install --yes "conda!=22.11.0" conda-build mamba boa + conda update --yes --all + conda install --yes mamba + mamba install --yes conda-build boa displayName: Update conda base environment - bash: | From 1895bd3bfaec1be421787aea1a39bb53abf20ecb Mon Sep 17 00:00:00 2001 From: Xylar Asay-Davis Date: Thu, 12 Jan 2023 08:10:31 +0100 Subject: [PATCH 31/86] Update to mache >=1.11.0 This is needed to ensure support for Chicoma and Perlmutter. --- ci/recipe/meta.yaml | 2 +- dev-spec.txt | 2 +- suite/run_suite.bash | 2 +- 3 files changed, 3 insertions(+), 3 deletions(-) diff --git a/ci/recipe/meta.yaml b/ci/recipe/meta.yaml index cce1318fd..c7549a5c6 100644 --- a/ci/recipe/meta.yaml +++ b/ci/recipe/meta.yaml @@ -33,7 +33,7 @@ requirements: - geometric_features >=0.5.0 - gsw - lxml - - mache >=1.1.2 + - mache >=1.11.0 - matplotlib-base >=3.0.2 - mpas_tools >=0.14.0 - nco >=4.8.1 diff --git a/dev-spec.txt b/dev-spec.txt index 081ac6f94..78e1326fc 100644 --- a/dev-spec.txt +++ b/dev-spec.txt @@ -14,7 +14,7 @@ f90nml geometric_features>=0.5.0 gsw lxml -mache >=1.1.2 +mache >=1.11.0 matplotlib-base>=3.0.2 mpas_tools>=0.14.0 nco>=4.8.1 diff --git a/suite/run_suite.bash b/suite/run_suite.bash index a020f935a..c28805a56 100755 --- a/suite/run_suite.bash +++ b/suite/run_suite.bash @@ -21,7 +21,7 @@ do env=test_mpas_analysis_py${py} mamba create -y -n ${env} --use-local python=${py} mpas-analysis sphinx \ mock sphinx_rtd_theme "tabulate>=0.8.2" m2r2 "mistune<2" pytest \ - "mache>=1.1.2" jinja2 + "mache>=1.10.0" jinja2 conda activate ${env} pytest conda deactivate From 7cac183fa2fe17048fb2fa196039e9b0195e321f Mon Sep 17 00:00:00 2001 From: Xylar Asay-Davis Date: Thu, 12 Jan 2023 08:11:06 +0100 Subject: [PATCH 32/86] Add machine config files for Perlmutter and Chicoma --- mpas_analysis/configuration/chicoma-cpu.cfg | 30 +++++++++++++++++++++ mpas_analysis/configuration/pm-cpu.cfg | 30 +++++++++++++++++++++ 2 files changed, 60 insertions(+) create mode 100644 mpas_analysis/configuration/chicoma-cpu.cfg create mode 100644 mpas_analysis/configuration/pm-cpu.cfg diff --git a/mpas_analysis/configuration/chicoma-cpu.cfg b/mpas_analysis/configuration/chicoma-cpu.cfg new file mode 100644 index 000000000..812fb7c89 --- /dev/null +++ b/mpas_analysis/configuration/chicoma-cpu.cfg @@ -0,0 +1,30 @@ +[execute] +## options related to executing parallel tasks + +# the number of parallel tasks (1 means tasks run in serial, the default) +parallelTaskCount = 24 + +# the parallelism mode in ncclimo ("serial", "bck" or "mpi") +# Set this to "bck" (background parallelism) in most cases. The default number +# of threads (see below) is 12, one for each monthly climatology. Set to "mpi" +# to run one MPI task on each node and however many threads per node to reach +# 12 total threads. +ncclimoParallelMode = bck + +# the number of total threads to use when ncclimo runs in "bck" or "mpi" mode. +# Reduce this number if ncclimo is crashing (maybe because it is out of memory). +# The number of threads must be a factor of 12 (1, 2, 3, 4, 6 or 12). +ncclimoThreads = 12 + +# the number of MPI tasks to use in creating mapping files (1 means tasks run in +# serial, the default) +mapMpiTasks = 24 + +# "None" if ESMF should perform mapping file generation in serial without a +# command, or one of "srun" or "mpirun" if it should be run in parallel (or ins +# serial but with a command) +mapParallelExec = srun + +# "None" if ncremap should perform remapping without a command, or "srun" +# possibly with some flags if it should be run with that command +ncremapParallelExec = srun diff --git a/mpas_analysis/configuration/pm-cpu.cfg b/mpas_analysis/configuration/pm-cpu.cfg new file mode 100644 index 000000000..812fb7c89 --- /dev/null +++ b/mpas_analysis/configuration/pm-cpu.cfg @@ -0,0 +1,30 @@ +[execute] +## options related to executing parallel tasks + +# the number of parallel tasks (1 means tasks run in serial, the default) +parallelTaskCount = 24 + +# the parallelism mode in ncclimo ("serial", "bck" or "mpi") +# Set this to "bck" (background parallelism) in most cases. The default number +# of threads (see below) is 12, one for each monthly climatology. Set to "mpi" +# to run one MPI task on each node and however many threads per node to reach +# 12 total threads. +ncclimoParallelMode = bck + +# the number of total threads to use when ncclimo runs in "bck" or "mpi" mode. +# Reduce this number if ncclimo is crashing (maybe because it is out of memory). +# The number of threads must be a factor of 12 (1, 2, 3, 4, 6 or 12). +ncclimoThreads = 12 + +# the number of MPI tasks to use in creating mapping files (1 means tasks run in +# serial, the default) +mapMpiTasks = 24 + +# "None" if ESMF should perform mapping file generation in serial without a +# command, or one of "srun" or "mpirun" if it should be run in parallel (or ins +# serial but with a command) +mapParallelExec = srun + +# "None" if ncremap should perform remapping without a command, or "srun" +# possibly with some flags if it should be run with that command +ncremapParallelExec = srun From e798c929b0efbbe40c3a30a8d02bb4fb8b4a7234 Mon Sep 17 00:00:00 2001 From: Xylar Asay-Davis Date: Thu, 12 Jan 2023 08:23:22 +0100 Subject: [PATCH 33/86] Add Perlmutter to test suite --- suite/setup.py | 6 ++++++ 1 file changed, 6 insertions(+) diff --git a/suite/setup.py b/suite/setup.py index e7f90a9e0..06446f535 100755 --- a/suite/setup.py +++ b/suite/setup.py @@ -65,6 +65,12 @@ def main(): output_base = f'{scratch}/analysis_testing' simulation = '20200305.A_WCYCL1850.ne4_oQU480.anvil' mesh = 'QU480' + elif machine == 'pm-cpu': + input_base = '/global/cfs/cdirs/e3sm/xylar' + scratch = os.environ['SCRATCH'] + output_base = f'{scratch}/analysis_testing' + simulation = '20200305.A_WCYCL1850.ne4_oQU480.anvil' + mesh = 'QU480' elif machine == 'compy': input_base = '/compyfs/asay932/analysis_testing/test_output' output_base = f'/compyfs/{username}/analysis_testing' From fc77c81f2b3aeff9bea62b272bba215bc111d4b9 Mon Sep 17 00:00:00 2001 From: Xylar Asay-Davis Date: Thu, 12 Jan 2023 08:23:39 +0100 Subject: [PATCH 34/86] Remove Badger and update docs --- docs/tutorials/dev_getting_started.rst | 17 ++++++++------- docs/users_guide/config/execute.rst | 12 ++++------- mpas_analysis/configuration/badger.cfg | 30 -------------------------- 3 files changed, 13 insertions(+), 46 deletions(-) delete mode 100644 mpas_analysis/configuration/badger.cfg diff --git a/docs/tutorials/dev_getting_started.rst b/docs/tutorials/dev_getting_started.rst index 697e08b70..c263396fc 100644 --- a/docs/tutorials/dev_getting_started.rst +++ b/docs/tutorials/dev_getting_started.rst @@ -480,7 +480,7 @@ Anvil or Chrysalis: /lcrc/group/e3sm/ac.xylar/acme_scratch/anvil/20200305.A_WCYCL1850.ne4_oQU480.anvil /lcrc/group/e3sm/ac.xylar/acme_scratch/anvil/20201025.GMPAS-IAF.T62_oQU240wLI.anvil -Cori: +Cori and Perlmutter: .. code-block:: @@ -597,7 +597,7 @@ match your own preferred workflow. .. note:: - On some E3SM supported machines like Badger and Chicoma, there is no + On some E3SM supported machines like Chicoma, there is no web portal so you will want to just manually replace the part of the ``basePath`` given by ``/lcrc/group/e3sm/${web_portal:username}`` in the example above. @@ -700,9 +700,10 @@ Then, running MPAS-Analysis is as simple as: $ mpas_analysis -m myrun.cfg -where ```` is the name of the machine (all lowercase). We treat -``cori-haswell`` and ``cori-knl`` as separate machines (and we strongly -recommend that you use only ``cori-haswell``). +where ```` is the name of the machine (all lowercase). On Cori, we +only support the Haswell nodes (so the machine name is ``cori-haswell``). For +now, we only support CPU nodes on Perlmutter (``pm-cpu``) and Chicoma +(``chicoma-cpu``). Typical output is the analysis is running correctly looks something like: @@ -777,14 +778,14 @@ e.g.: .. note:: - On Cori, you will need to change the permissions so you can see the - webpage online: + On Cori and Perlmutter, you will need to change the permissions so you can + see the webpage online: .. code-block:: bash $ chmod -R ugo+rX /global/cfs/cdirs/e3sm/www/ - where ```` is your Cori username. + where ```` is your NERSC username. If the web page is incomplete, it presumably means there was an error during the analysis run, since the web page is generated as the final step. Check diff --git a/docs/users_guide/config/execute.rst b/docs/users_guide/config/execute.rst index 0800b7547..6a54ddaee 100644 --- a/docs/users_guide/config/execute.rst +++ b/docs/users_guide/config/execute.rst @@ -110,11 +110,11 @@ for calls to ``ncremap`` from E3SM-Unified on compute nodes: ncremapParallelExec = srun -E3SM supported machines with system MPI support in E3SM-Unified 1.5.0: +E3SM supported machines with system MPI support in E3SM-Unified 1.8.1: * Anvil -* Badger +* Chicoma * Chrysalis @@ -122,14 +122,10 @@ E3SM supported machines with system MPI support in E3SM-Unified 1.5.0: * Cori-Haswell -* Grizzly +* Perlmutter These machines do **not** have MPI support in E3SM-Unified: -* Cori-KNL - -* Cooley - * Andes * Acme1 @@ -143,7 +139,7 @@ Parallel Mask Creation Tasks that involve :ref:`config_region_groups` can generate the masks for each region in the group on the fly. This is done with the mask generation -command-line tools form MPAS-Tools (see +command-line tools form MPAS-Tools (see `Mask Creation with Python Multiprocessing `_), which support 3 modes of parallelism: "spawn", "fork" and "forkserver". For technical details on these modes, see diff --git a/mpas_analysis/configuration/badger.cfg b/mpas_analysis/configuration/badger.cfg deleted file mode 100644 index d8097d947..000000000 --- a/mpas_analysis/configuration/badger.cfg +++ /dev/null @@ -1,30 +0,0 @@ -[execute] -## options related to executing parallel tasks - -# the number of parallel tasks (1 means tasks run in serial, the default) -parallelTaskCount = 12 - -# the parallelism mode in ncclimo ("serial", "bck" or "mpi") -# Set this to "bck" (background parallelism) in most cases. The default number -# of threads (see below) is 12, one for each monthly climatology. Set to "mpi" -# to run one MPI task on each node and however many threads per node to reach -# 12 total threads. -ncclimoParallelMode = bck - -# the number of total threads to use when ncclimo runs in "bck" or "mpi" mode. -# Reduce this number if ncclimo is crashing (maybe because it is out of memory). -# The number of threads must be a factor of 12 (1, 2, 3, 4, 6 or 12). -ncclimoThreads = 12 - -# the number of MPI tasks to use in creating mapping files (1 means tasks run in -# serial, the default) -mapMpiTasks = 12 - -# "None" if ESMF should perform mapping file generation in serial without a -# command, or one of "srun" or "mpirun" if it should be run in parallel (or ins -# serial but with a command) -mapParallelExec = srun - -# "None" if ncremap should perform remapping without a command, or "srun" -# possibly with some flags if it should be run with that command -ncremapParallelExec = srun From 44be9f2262f1243762c3503a4417b087d22672d5 Mon Sep 17 00:00:00 2001 From: Xylar Asay-Davis Date: Thu, 12 Jan 2023 10:37:21 +0100 Subject: [PATCH 35/86] Build suite with nompi ESMF --- suite/run_suite.bash | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/suite/run_suite.bash b/suite/run_suite.bash index c28805a56..b2d1da91f 100755 --- a/suite/run_suite.bash +++ b/suite/run_suite.bash @@ -21,7 +21,7 @@ do env=test_mpas_analysis_py${py} mamba create -y -n ${env} --use-local python=${py} mpas-analysis sphinx \ mock sphinx_rtd_theme "tabulate>=0.8.2" m2r2 "mistune<2" pytest \ - "mache>=1.10.0" jinja2 + "esmf=*=nompi_*" jinja2 conda activate ${env} pytest conda deactivate From 9cc9f0dc54f2db699f4be895aeafe775aa915aec Mon Sep 17 00:00:00 2001 From: Xylar Asay-Davis Date: Thu, 29 Dec 2022 21:52:31 +0100 Subject: [PATCH 36/86] Fix deprecated colormap registration Also fix a few other formatting issues --- mpas_analysis/shared/plot/colormap.py | 30 +++++++++++++-------------- 1 file changed, 15 insertions(+), 15 deletions(-) diff --git a/mpas_analysis/shared/plot/colormap.py b/mpas_analysis/shared/plot/colormap.py index 66b117995..c0c4acb03 100644 --- a/mpas_analysis/shared/plot/colormap.py +++ b/mpas_analysis/shared/plot/colormap.py @@ -19,7 +19,8 @@ import matplotlib.colors as cols import numpy as np from matplotlib.colors import LinearSegmentedColormap -import xml.etree.ElementTree as ET +import matplotlib +from xml.etree import ElementTree import configparser import cmocean import pkg_resources @@ -116,7 +117,8 @@ def setup_colormap(config, configSectionName, suffix=''): return {'colormap': colormap, 'norm': norm, 'levels': levels, 'ticks': ticks, 'contours': contours, 'lineWidth': lineWidth, 'lineColor': lineColor, 'arrows': arrows} - + + def register_custom_colormaps(): name = 'ferret' backgroundColor = (0.9, 0.9, 0.9) @@ -331,7 +333,7 @@ def _setup_colormap_and_norm(config, configSectionName, suffix=''): colormap : srt new colormap - norm : ``mapplotlib.colors.Normalize`` + norm : matplotlib.colors.Normalize the norm used to normalize the colormap ticks : array of float @@ -365,10 +367,10 @@ def _setup_colormap_and_norm(config, configSectionName, suffix=''): ticks = config.getexpression( configSectionName, 'colorbarTicks{}'.format(suffix), use_numpyfunc=True) - except(configparser.NoOptionError): + except configparser.NoOptionError: ticks = None - return (colormap, norm, ticks) + return colormap, norm, ticks def _setup_indexed_colormap(config, configSectionName, suffix=''): @@ -387,14 +389,12 @@ def _setup_indexed_colormap(config, configSectionName, suffix=''): suffix: str, optional suffix of colormap related options - colorMapType - Returns ------- colormap : srt new colormap - norm : ``mapplotlib.colors.Normalize`` + norm : matplotlib.colors.Normalize the norm used to normalize the colormap ticks : array of float @@ -415,7 +415,7 @@ def _setup_indexed_colormap(config, configSectionName, suffix=''): levels = config.getexpression( configSectionName, 'colorbarLevels{}'.format(suffix), use_numpyfunc=True) - except(configparser.NoOptionError): + except configparser.NoOptionError: levels = None if levels is not None: @@ -442,16 +442,16 @@ def _setup_indexed_colormap(config, configSectionName, suffix=''): ticks = config.getexpression( configSectionName, 'colorbarTicks{}'.format(suffix), use_numpyfunc=True) - except(configparser.NoOptionError): + except configparser.NoOptionError: ticks = levels - return (colormap, norm, levels, ticks) + return colormap, norm, levels, ticks def _read_xml_colormap(xmlFile, map_name): """Read in an XML colormap""" - xml = ET.parse(xmlFile) + xml = ElementTree.parse(xmlFile) root = xml.getroot() colormap = root.findall('ColorMap') @@ -471,9 +471,9 @@ def _read_xml_colormap(xmlFile, map_name): def _register_colormap_and_reverse(map_name, cmap): - if map_name not in plt.colormaps(): - plt.register_cmap(map_name, cmap) - plt.register_cmap('{}_r'.format(map_name), cmap.reversed()) + if map_name not in matplotlib.colormaps: + matplotlib.colormaps.register(cmap, name=map_name) + matplotlib.colormaps.register(cmap.reversed(), name=f'{map_name}_r') def _plot_color_gradients(): From b30182dbd134c7680c9866df07266019d0e033b9 Mon Sep 17 00:00:00 2001 From: Xylar Asay-Davis Date: Thu, 29 Dec 2022 21:53:09 +0100 Subject: [PATCH 37/86] Fix inset with points This was never used and probably not tested. --- mpas_analysis/shared/plot/inset.py | 7 +++---- 1 file changed, 3 insertions(+), 4 deletions(-) diff --git a/mpas_analysis/shared/plot/inset.py b/mpas_analysis/shared/plot/inset.py index f9109be79..bdf5cd962 100644 --- a/mpas_analysis/shared/plot/inset.py +++ b/mpas_analysis/shared/plot/inset.py @@ -146,10 +146,9 @@ def add_inset(fig, fc, latlonbuffer=45., polarbuffer=5., width=1.0, edgecolor='blue', facecolor='blue', alpha=0.4, linewidth=1.) elif geomtype in ['Point', 'MultiPoint']: - inset.add_geometries((shape,), crs=ccrs.PlateCarree(), - edgecolor='none', facecolor='none', alpha=1., - markersize=3., markeredgecolor='k', - markerfacecolor='k') + point_x, point_y = shape.xy + inset.scatter(point_x, point_y, s=9, color='k', + transform=ccrs.PlateCarree(), edgecolors='face') else: inset.add_geometries((shape,), crs=ccrs.PlateCarree(), edgecolor='k', facecolor='none', alpha=1., From ec66beb345437b472b3ed8f8a5f32d4b49aadd6e Mon Sep 17 00:00:00 2001 From: Xylar Asay-Davis Date: Thu, 29 Dec 2022 21:53:40 +0100 Subject: [PATCH 38/86] Add tests for insets --- mpas_analysis/test/test_inset.py | 72 ++++++++++++++++++++++++++++++++ 1 file changed, 72 insertions(+) create mode 100644 mpas_analysis/test/test_inset.py diff --git a/mpas_analysis/test/test_inset.py b/mpas_analysis/test/test_inset.py new file mode 100644 index 000000000..1ab65997b --- /dev/null +++ b/mpas_analysis/test/test_inset.py @@ -0,0 +1,72 @@ +# This software is open source software available under the BSD-3 license. +# +# Copyright (c) 2022 Triad National Security, LLC. All rights reserved. +# Copyright (c) 2022 Lawrence Livermore National Security, LLC. All rights +# reserved. +# Copyright (c) 2022 UT-Battelle, LLC. All rights reserved. +# +# Additional copyright and license information can be found in the LICENSE file +# distributed with this code, or at +# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/main/LICENSE + +import matplotlib +matplotlib.use('Agg', force=True) +import matplotlib.pyplot as plt +import cartopy.crs as ccrs + +from geometric_features import GeometricFeatures +from mpas_analysis.test import TestCase +from mpas_analysis.shared.plot.inset import add_inset + + +class TestPaths(TestCase): + def test_add_inset_region(self): + # Set up the figure and axes + fig, ax = plt.subplots(figsize=(10, 5), + subplot_kw=dict(projection=ccrs.PlateCarree())) + + # Add coastlines to the map + ax.coastlines() + + gf = GeometricFeatures() + fc = gf.read(componentName='ocean', objectType='region', + featureNames=['North Atlantic Ocean']) + + add_inset(fig, fc) + + # Show the plot + plt.savefig('inset_region.png') + + def test_add_inset_transect(self): + # Set up the figure and axes + fig, ax = plt.subplots(figsize=(10, 5), + subplot_kw=dict(projection=ccrs.PlateCarree())) + + # Add coastlines to the map + ax.coastlines() + + gf = GeometricFeatures() + fc = gf.read(componentName='ocean', objectType='transect', + featureNames=['Drake Passage']) + + add_inset(fig, fc) + + # Show the plot + plt.savefig('inset_transect.png') + + def test_add_inset_point(self): + # Set up the figure and axes + fig, ax = plt.subplots(figsize=(10, 5), + subplot_kw=dict(projection=ccrs.PlateCarree())) + + # Add coastlines to the map + ax.coastlines() + + gf = GeometricFeatures() + fc = gf.read(componentName='ocean', objectType='point', + featureNames=['Equatorial_Pacific_W155.0_N10.0']) + + add_inset(fig, fc) + + # Show the plot + plt.savefig('inset_point.png') From 101d13a79ad715af0c4d6703fdfa902b5f76957a Mon Sep 17 00:00:00 2001 From: Xylar Asay-Davis Date: Thu, 29 Dec 2022 21:54:00 +0100 Subject: [PATCH 39/86] Update required shapely, geometric_features and mpas_tools --- ci/recipe/meta.yaml | 6 +++--- dev-spec.txt | 8 ++++---- setup.py | 2 +- 3 files changed, 8 insertions(+), 8 deletions(-) diff --git a/ci/recipe/meta.yaml b/ci/recipe/meta.yaml index c7549a5c6..aae875867 100644 --- a/ci/recipe/meta.yaml +++ b/ci/recipe/meta.yaml @@ -30,12 +30,12 @@ requirements: - esmf >=8.0.0,<8.3.0 - esmf=*=nompi_* - f90nml - - geometric_features >=0.5.0 + - geometric_features >=1.0.0 - gsw - lxml - mache >=1.11.0 - matplotlib-base >=3.0.2 - - mpas_tools >=0.14.0 + - mpas_tools >=0.16.0 - nco >=4.8.1 - netcdf4 - numpy @@ -48,7 +48,7 @@ requirements: - requests - scipy - setuptools - - shapely>=1.8.0,<2.0.0 + - shapely >=2.0,<3.0 - xarray >=0.14.1 test: diff --git a/dev-spec.txt b/dev-spec.txt index 78e1326fc..dee169ca2 100644 --- a/dev-spec.txt +++ b/dev-spec.txt @@ -2,7 +2,7 @@ # $ conda create --name --file # Base -python>=3.7 +python>=3.8 bottleneck cartopy >=0.18.0 cartopy_offlinedata @@ -11,12 +11,12 @@ dask esmf >=8.0.0,<8.3.0 esmf=*=nompi_* f90nml -geometric_features>=0.5.0 +geometric_features>=1.0.0 gsw lxml mache >=1.11.0 matplotlib-base>=3.0.2 -mpas_tools>=0.14.0 +mpas_tools>=0.16.0 nco>=4.8.1 netcdf4 numpy @@ -29,7 +29,7 @@ python-dateutil requests scipy setuptools -shapely>=1.8.0,<2.0.0 +shapely>=2.0,<3.0 xarray>=0.14.1 # Development diff --git a/setup.py b/setup.py index 684a075d4..0362f6e34 100755 --- a/setup.py +++ b/setup.py @@ -33,7 +33,7 @@ 'requests', 'scipy', 'setuptools', - 'shapely>=1.8.0,<2.0.0', + 'shapely>=2.0,<3.0', 'six', 'xarray>=0.14.1'] From a5a5a7d261d1d859a444ab97d8e1218de71dfa6b Mon Sep 17 00:00:00 2001 From: Xylar Asay-Davis Date: Mon, 16 Jan 2023 18:18:04 +0100 Subject: [PATCH 40/86] Update required matplotlib version --- ci/recipe/meta.yaml | 2 +- dev-spec.txt | 2 +- setup.py | 2 +- 3 files changed, 3 insertions(+), 3 deletions(-) diff --git a/ci/recipe/meta.yaml b/ci/recipe/meta.yaml index aae875867..ba66b62a5 100644 --- a/ci/recipe/meta.yaml +++ b/ci/recipe/meta.yaml @@ -34,7 +34,7 @@ requirements: - gsw - lxml - mache >=1.11.0 - - matplotlib-base >=3.0.2 + - matplotlib-base >=3.6.0 - mpas_tools >=0.16.0 - nco >=4.8.1 - netcdf4 diff --git a/dev-spec.txt b/dev-spec.txt index dee169ca2..7cd09c3ed 100644 --- a/dev-spec.txt +++ b/dev-spec.txt @@ -15,7 +15,7 @@ geometric_features>=1.0.0 gsw lxml mache >=1.11.0 -matplotlib-base>=3.0.2 +matplotlib-base>=3.6.0 mpas_tools>=0.16.0 nco>=4.8.1 netcdf4 diff --git a/setup.py b/setup.py index 0362f6e34..6766c212d 100755 --- a/setup.py +++ b/setup.py @@ -22,7 +22,7 @@ 'dask', 'gsw', 'lxml', - 'matplotlib >=3.0.2', + 'matplotlib >=3.6.0', 'netcdf4', 'numpy', 'pandas', From eecef59392a33de8efa27307bd5cc79f4ce12e17 Mon Sep 17 00:00:00 2001 From: Xylar Asay-Davis Date: Mon, 16 Jan 2023 09:47:57 -0600 Subject: [PATCH 41/86] Update m2r2 constraint --- azure-pipelines.yml | 2 +- dev-spec.txt | 2 +- suite/run_suite.bash | 4 ++-- 3 files changed, 4 insertions(+), 4 deletions(-) diff --git a/azure-pipelines.yml b/azure-pipelines.yml index 6089bc336..65ed6b553 100644 --- a/azure-pipelines.yml +++ b/azure-pipelines.yml @@ -74,7 +74,7 @@ jobs: conda activate mamba create --yes --quiet --name docs -c ${CONDA_PREFIX}/conda-bld/ \ python=$PYTHON_VERSION mpas-analysis sphinx mock sphinx_rtd_theme \ - tabulate m2r2 "mistune<2" + tabulate "m2r2>=0.3.3" "mistune<2" condition: eq(variables['python.version'], '3.10') displayName: Create Anaconda docs environment diff --git a/dev-spec.txt b/dev-spec.txt index 7cd09c3ed..870847aa0 100644 --- a/dev-spec.txt +++ b/dev-spec.txt @@ -40,7 +40,7 @@ pytest # Documentation mock -m2r2 +m2r2>=0.3.3 mistune<2 sphinx sphinx_rtd_theme diff --git a/suite/run_suite.bash b/suite/run_suite.bash index b2d1da91f..15d126797 100755 --- a/suite/run_suite.bash +++ b/suite/run_suite.bash @@ -20,8 +20,8 @@ for py in ${main_py} ${alt_py} do env=test_mpas_analysis_py${py} mamba create -y -n ${env} --use-local python=${py} mpas-analysis sphinx \ - mock sphinx_rtd_theme "tabulate>=0.8.2" m2r2 "mistune<2" pytest \ - "esmf=*=nompi_*" jinja2 + mock sphinx_rtd_theme "tabulate>=0.8.2" "m2r2>=0.3.3" "mistune<2" \ + pytest "mache>=1.11.0" "esmf=*=nompi_*" jinja2 conda activate ${env} pytest conda deactivate From 443f3092670e8f16e5224e0b4cbc21def2f4abd5 Mon Sep 17 00:00:00 2001 From: Xylar Asay-Davis Date: Mon, 16 Jan 2023 09:52:13 -0600 Subject: [PATCH 42/86] Update suite to python 3.11 --- suite/run_suite.bash | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/suite/run_suite.bash b/suite/run_suite.bash index 15d126797..d194fbaf0 100755 --- a/suite/run_suite.bash +++ b/suite/run_suite.bash @@ -5,8 +5,8 @@ set -e conda_base=$(dirname $(dirname $CONDA_EXE)) source $conda_base/etc/profile.d/conda.sh -main_py=3.10 -alt_py=3.9 +main_py=3.11 +alt_py=3.10 export HDF5_USE_FILE_LOCKING=FALSE From 968c31d41fb92b0c65cba01b38a3d4c432fc19d7 Mon Sep 17 00:00:00 2001 From: Xylar Asay-Davis Date: Mon, 16 Jan 2023 03:28:43 -0700 Subject: [PATCH 43/86] Fix deprecated U mode in csv reader --- mpas_analysis/ocean/time_series_antarctic_melt.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/mpas_analysis/ocean/time_series_antarctic_melt.py b/mpas_analysis/ocean/time_series_antarctic_melt.py index 9b042bcf3..9cfa9097e 100644 --- a/mpas_analysis/ocean/time_series_antarctic_melt.py +++ b/mpas_analysis/ocean/time_series_antarctic_melt.py @@ -557,7 +557,7 @@ def run_task(self): obsFileName = '{}/{}'.format(observationsDirectory, obsFileNameDict[obsName]) obsDict[obsName] = {} - obsFile = csv.reader(open(obsFileName, 'rU')) + obsFile = csv.reader(open(obsFileName, 'r')) next(obsFile, None) # skip the header line for line in obsFile: # some later useful values commented out shelfName = line[0] From 2b715cd107a651af28b06d2304c43b5bb93c0560 Mon Sep 17 00:00:00 2001 From: Xylar Asay-Davis Date: Tue, 17 Jan 2023 05:23:54 -0600 Subject: [PATCH 44/86] Update python version for main_vs_ctrl --- suite/main_vs_ctrl.cfg | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/suite/main_vs_ctrl.cfg b/suite/main_vs_ctrl.cfg index 029b809db..5ab54ef96 100644 --- a/suite/main_vs_ctrl.cfg +++ b/suite/main_vs_ctrl.cfg @@ -12,5 +12,5 @@ controlRunConfigFile = ../ctrl.cfg # remapped to the comparison grid and time series have been extracted. # Leave this option commented out if the analysis for the main run should be # performed. -mainRunConfigFile = ../main_py3.9.cfg +mainRunConfigFile = ../main_py3.10.cfg From 07720a856a6dd902b252007660bbfc1975e93087 Mon Sep 17 00:00:00 2001 From: Xylar Asay-Davis Date: Tue, 17 Jan 2023 06:28:41 -0700 Subject: [PATCH 45/86] Update example config and job script for LANL --- ...MF.TL319_SOwISC12to60E2r4.chicoma-cpu.cfg} | 118 ++++++++++++------ configs/lanl/job_script.lanl.bash | 30 ++--- 2 files changed, 93 insertions(+), 55 deletions(-) rename configs/lanl/{20170207.MPAS-SeaIce.QU60km_polar.wolf.cfg => 20230109.GMPAS-JRA1p5-DIB-ISMF.TL319_SOwISC12to60E2r4.chicoma-cpu.cfg} (50%) diff --git a/configs/lanl/20170207.MPAS-SeaIce.QU60km_polar.wolf.cfg b/configs/lanl/20230109.GMPAS-JRA1p5-DIB-ISMF.TL319_SOwISC12to60E2r4.chicoma-cpu.cfg similarity index 50% rename from configs/lanl/20170207.MPAS-SeaIce.QU60km_polar.wolf.cfg rename to configs/lanl/20230109.GMPAS-JRA1p5-DIB-ISMF.TL319_SOwISC12to60E2r4.chicoma-cpu.cfg index 75831ca2c..683b0238a 100644 --- a/configs/lanl/20170207.MPAS-SeaIce.QU60km_polar.wolf.cfg +++ b/configs/lanl/20230109.GMPAS-JRA1p5-DIB-ISMF.TL319_SOwISC12to60E2r4.chicoma-cpu.cfg @@ -1,9 +1,38 @@ +## This file contains the most common config options that a user on an E3SM +## supported machine might want to customize. The values are mostly the same +## as in mpas_analysis/default.cfg, the default config file, which has nearly +## all of the available config options. +## Usage: +## 1. Copy this file to a new name for a specific run (say myrun.cfg). +## +## 2. Modify any config options you want to change in your new config file. +## At a minimum, you need to specify: +## * [runs]/mainRunName -- A name for the run to be included plot titles +## and legends +## * [input]/baseDirectory -- The directory for the simulation results +## to analyze +## * [input]/mpasMeshName -- The name of the MPAS ocean/sea ice mesh +## * [output]/baseDirectory -- The directory for the analysis results +## +## 3. run: +## +## $ mpas_analysis myrun.cfg +## +## This will read the configuration first from mpas_analysis/default.cfg +## and then replace that configuration with any changes from from myrun.cfg +## +## 4. If you want to run a subset of the analysis, you can either set +## [output]/generate in your config file or use the --generate flag on the +## command line. See the comments for [output]/generate below for more +## details on this option. + + [runs] ## options related to the run to be analyzed and control runs to be ## compared against # mainRunName is a name that identifies the simulation being analyzed. -mainRunName = MPAS-SeaIce.QU60km_polar +mainRunName = chic_test_00 # config file for a control run to which this run will be compared. The # analysis should have already been run to completion once with this config @@ -22,46 +51,61 @@ mainRunName = MPAS-SeaIce.QU60km_polar [execute] ## options related to executing parallel tasks -# the number of parallel tasks (1 means tasks run in serial, the default) -parallelTaskCount = 6 - -# the parallelism mode in ncclimo ("serial" or "bck") -# Set this to "bck" (background parallelism) if running on a machine that can -# handle 12 simultaneous processes, one for each monthly climatology. -ncclimoParallelMode = bck - -# the number of total threads to use when ncclimo runs in "bck" or "mpi" mode. -# Reduce this number if ncclimo is crashing (maybe because it is out of memory). -# The number of threads must be a factor of 12 (1, 2, 3, 4, 6 or 12). -ncclimoThreads = 6 - # the number of MPI tasks to use in creating mapping files (1 means tasks run in # serial, the default) -mapMpiTasks = 6 +mapMpiTasks = 1 + +# "None" if ESMF should perform mapping file generation in serial without a +# command, or one of "srun" or "mpirun" if it should be run in parallel (or in +# serial but with a command) +mapParallelExec = None + +# "None" if ncremap should perform remapping without a command, or "srun" +# possibly with some flags if it should be run with that command +ncremapParallelExec = None [input] ## options related to reading in the results to be analyzed # directory containing model results -baseDirectory = /net/scratch2/akt/MPAS/rundirs/rundir_QU60km_polar +baseDirectory = /lustre/scratch4/turquoise/vankova/E3SM/scratch/chicoma-cpu/20230109.GMPAS-JRA1p5-DIB-ISMF.TL319_SOwISC12to60E2r4.chicoma-cpu -# name of the ocean and sea-ice mesh (e.g. EC30to60E2r2, WC14to60E2r3, -# ECwISC30to60E2r1, SOwISC12to60E2r4, oQU240, etc.) -mpasMeshName = QU60 +# Note: an absolute path can be supplied for any of these subdirectories. +# A relative path is assumed to be relative to baseDirectory. +# In this example, results are assumed to be in /run + +# subdirectory containing restart files +runSubdirectory = run +# subdirectory for ocean history files +oceanHistorySubdirectory = archive/ocn/hist +# subdirectory for sea ice history files +seaIceHistorySubdirectory = archive/ice/hist # names of namelist and streams files, either a path relative to baseDirectory # or an absolute path. -oceanNamelistFileName = mpas-o_in -oceanStreamsFileName = streams.ocean -seaIceNamelistFileName = mpas-cice_in -seaIceStreamsFileName = streams.cice +oceanNamelistFileName = run/mpaso_in +oceanStreamsFileName = run/streams.ocean +seaIceNamelistFileName = run/mpassi_in +seaIceStreamsFileName = run/streams.seaice + +# name of the ocean and sea-ice mesh (e.g. EC30to60E2r2, WC14to60E2r3, +# ECwISC30to60E2r1, SOwISC12to60E2r4, oQU240, etc.) +mpasMeshName = SOwISC12to60E2r4 [output] ## options related to writing out plots, intermediate cached data sets, logs, ## etc. +# The subdirectory for the analysis and output on the web portal +subdir = ${runs:mainRunName}/clim_${climatology:startYear}-${climatology:endYear}_ts_${timeSeries:startYear}-${timeSeries:endYear} + # directory where analysis should be written -baseDirectory = /dir/to/analysis/output +# NOTE: This directory path must be specific to each test case. +baseDirectory = /lustre/scratch4/turquoise/xylar/E3SM/analysis/${output:subdir} + +# provide an absolute path to put HTML in an alternative location (e.g. a web +# portal) +htmlSubdirectory = /lustre/scratch4/turquoise/xylar/E3SM/analysis/${output:subdir}/html # a list of analyses to generate. Valid names can be seen by running: # mpas_analysis --list @@ -69,6 +113,8 @@ baseDirectory = /dir/to/analysis/output # Shortcuts exist to generate (or not generate) several types of analysis. # These include: # 'all' -- all analyses will be run +# 'all_publicObs' -- all analyses for which observations are available on the +# public server (the default) # 'all_' -- all analysis with a particular tag will be run # 'all_' -- all analyses from a given component (either 'ocean' # or 'seaIce') will be run @@ -78,22 +124,24 @@ baseDirectory = /dir/to/analysis/output # without the tag will be skipped # 'no_' -- skip the given task # 'no_', 'no_' -- in analogy to 'all_*', skip all analysis -# tasks from the given compoonent or with -# the given tag +# tasks from the given component or with +# the given tag. Do +# mpas_analysis --list +# to list all task names and their tags # an equivalent syntax can be used on the command line to override this # option: -# mpas_analysis config.analysis --generate \ -# all,no_ocean,all_timeSeries -generate = ['all_seaIce', 'no_icebergs'] +# mpas_analysis analysis.cfg --generate \ +# only_ocean,no_timeSeries,timeSeriesSST +generate = ['all', 'no_BGC', 'no_icebergs', 'no_index', 'no_min', 'no_max', 'no_waves'] [climatology] ## options related to producing climatologies, typically to compare against ## observations and previous runs # the first year over which to average climatalogies -startYear = 1960 +startYear = 1 # the last year over which to average climatalogies -endYear = 1961 +endYear = 2 [timeSeries] ## options related to producing time series plots, often to compare against @@ -105,8 +153,8 @@ endYear = 1961 # of bounds values will lead to an error. In a "control" config file used in # a "main vs. control" analysis run, the range of years must be valid and # cannot include "end" because the original data may not be available. -startYear = 1960 -endYear = 1961 +startYear = 1 +endYear = 2 [index] ## options related to producing nino index. @@ -117,5 +165,5 @@ endYear = 1961 # of bounds values will lead to an error. In a "control" config file used in # a "main vs. control" analysis run, the range of years must be valid and # cannot include "end" because the original data may not be available. -startYear = 1960 -endYear = 1961 +startYear = 1 +endYear = 2 diff --git a/configs/lanl/job_script.lanl.bash b/configs/lanl/job_script.lanl.bash index d284399e3..36b861410 100644 --- a/configs/lanl/job_script.lanl.bash +++ b/configs/lanl/job_script.lanl.bash @@ -1,25 +1,15 @@ #!/bin/bash -# change number of nodes to change the number of parallel tasks -# (anything between 1 and the total number of tasks to run) -#SBATCH --nodes=1 -#SBATCH --time=2:00:00 -#SBATCH --account=e3sm -#SBATCH --job-name=mpas_analysis -#SBATCH --output=mpas_analysis.o%j -#SBATCH --error=mpas_analysis.e%j -#SBATCH --qos=interactive +#SBATCH --job-name=mpas_analysis +#SBATCH --nodes=1 +#SBATCH --output=mpas_analysis.o%j +#SBATCH --time=1:00:00 +#SBATCH --qos=standard +#SBATCH --partition=standard -export OMP_NUM_THREADS=1 - -source /usr/projects/climate/SHARED_CLIMATE/anaconda_envs/load_latest_e3sm_unified_grizzly.sh -# alternatively, you can load your own development environment -# source ~/miniconda3/etc/profile.d/conda.sh -# conda activate mpas_dev -# export E3SMU_MACHINE=grizzly +source /users/xylar/climate/mambaforge/etc/profile.d/conda.sh +source /users/xylar/climate/mambaforge/etc/profile.d/mamba.sh +mamba activate mpas_dev export HDF5_USE_FILE_LOCKING=FALSE -# For an E3SM cryosphere run, include --polar_regions, or exclude -# this extra flag for default parameters -mpas_analysis run_name_here.cfg - +mpas_analysis --verbose -m chicoma-cpu --polar_regions 20230109.GMPAS-JRA1p5-DIB-ISMF.TL319_SOwISC12to60E2r4.chicoma-cpu.cfg --purge From 4a0437b35fc91fad294736441b8a033d8752e908 Mon Sep 17 00:00:00 2001 From: Xylar Asay-Davis Date: Tue, 17 Jan 2023 11:11:37 -0700 Subject: [PATCH 46/86] Fix output on machines without web portal --- mpas_analysis/shared/html/pages.py | 9 +++++---- 1 file changed, 5 insertions(+), 4 deletions(-) diff --git a/mpas_analysis/shared/html/pages.py b/mpas_analysis/shared/html/pages.py index 7392dad4b..d8f8acbaf 100644 --- a/mpas_analysis/shared/html/pages.py +++ b/mpas_analysis/shared/html/pages.py @@ -88,10 +88,11 @@ def generate_html(config, analyses, controlConfig, customConfigFiles): section = config['web_portal'] base_path = section.get('base_path') base_url = section.get('base_url') - html_dir = config.get('output', 'htmlSubdirectory') - if html_dir.startswith(base_path): - url = base_url + html_dir[len(base_path):] - print(f'Web page: {url}') + if base_path is not None and base_url is not None: + html_dir = config.get('output', 'htmlSubdirectory') + if html_dir.startswith(base_path): + url = base_url + html_dir[len(base_path):] + print(f'Web page: {url}') if url is None: print("Done.") From 31162042906ff2b3d969ffc8eeb5be0dfabc2567 Mon Sep 17 00:00:00 2001 From: Xylar Asay-Davis Date: Wed, 18 Jan 2023 15:45:36 -0600 Subject: [PATCH 47/86] Fix depth slicing with non-ocean cells Previously, when there were cells with `maxLevelCell = 0`, this caused a failure because there was no valid depth coordinate for that cell and therefore no closest depth index could be found. This fix simply skips cells that are not in the ocean and masks them out. --- mpas_analysis/ocean/remap_depth_slices_subtask.py | 9 ++++++--- 1 file changed, 6 insertions(+), 3 deletions(-) diff --git a/mpas_analysis/ocean/remap_depth_slices_subtask.py b/mpas_analysis/ocean/remap_depth_slices_subtask.py index 490119cf5..dc6045183 100644 --- a/mpas_analysis/ocean/remap_depth_slices_subtask.py +++ b/mpas_analysis/ocean/remap_depth_slices_subtask.py @@ -116,6 +116,7 @@ def run_task(self): zMid = compute_zmid(ds.bottomDepth, ds.maxLevelCell-1, ds.layerThickness) + ocean_mask = (ds.maxLevelCell > 0) nVertLevels = zMid.shape[1] zMid.coords['verticalIndex'] = \ @@ -144,10 +145,12 @@ def run_task(self): verticalIndices[depthIndex, :] = self.maxLevelCell.values mask[depthIndex, :] = self.maxLevelCell.values >= 0 else: + + diff = np.abs(zMid - depth).where(ocean_mask, drop=True) + verticalIndex = diff.argmin(dim='nVertLevels') - verticalIndex = np.abs(zMid - depth).argmin(dim='nVertLevels') - - verticalIndices[depthIndex, :] = verticalIndex.values + verticalIndices[depthIndex, ocean_mask.values] = \ + verticalIndex.values mask[depthIndex, :] = np.logical_and(depth <= zTop, depth >= zBot).values From e4f3e824d1b20bcc2025e6119da36e45f4f49b28 Mon Sep 17 00:00:00 2001 From: Xylar Asay-Davis Date: Thu, 26 Jan 2023 18:54:55 -0600 Subject: [PATCH 48/86] Change how NaN values are dropped in moving avg We only want to drop times were all values are NaN, not when *any* value is NaN (e.g. below the bathymetry in a vertical average). --- mpas_analysis/shared/plot/vertical_section.py | 6 +++--- mpas_analysis/shared/time_series/moving_average.py | 2 +- 2 files changed, 4 insertions(+), 4 deletions(-) diff --git a/mpas_analysis/shared/plot/vertical_section.py b/mpas_analysis/shared/plot/vertical_section.py index cbfcba8b9..4fe7a89e1 100644 --- a/mpas_analysis/shared/plot/vertical_section.py +++ b/mpas_analysis/shared/plot/vertical_section.py @@ -875,11 +875,11 @@ def plot_vertical_section( if movingAveragePoints is not None and movingAveragePoints != 1: dim = field.dims[0] field = field.rolling(dim={dim: movingAveragePoints}, - center=True).mean().dropna(dim) + center=True).mean().dropna(dim, how='all') x = x.rolling(dim={dim: movingAveragePoints}, - center=True).mean().dropna(dim) + center=True).mean().dropna(dim, how='all') y = y.rolling(dim={dim: movingAveragePoints}, - center=True).mean().dropna(dim) + center=True).mean().dropna(dim, how='all') mask = field.notnull() maskedTriangulation, unmaskedTriangulation = _get_triangulation( diff --git a/mpas_analysis/shared/time_series/moving_average.py b/mpas_analysis/shared/time_series/moving_average.py index 810579a50..2af4c0f45 100644 --- a/mpas_analysis/shared/time_series/moving_average.py +++ b/mpas_analysis/shared/time_series/moving_average.py @@ -35,7 +35,7 @@ def compute_moving_avg(ds, movingAveragePoints=12): # Xylar Asay-Davis ds = ds.rolling(Time=movingAveragePoints, - center=True).mean().dropna('Time') + center=True).mean().dropna(dim='Time', how='all') return ds From a737963a9801e412a233a02d6620053f7446fe61 Mon Sep 17 00:00:00 2001 From: Xylar Asay-Davis Date: Wed, 15 Feb 2023 16:17:05 -0600 Subject: [PATCH 49/86] Skip making MOC basin masks if they exist --- mpas_analysis/ocean/streamfunction_moc.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/mpas_analysis/ocean/streamfunction_moc.py b/mpas_analysis/ocean/streamfunction_moc.py index 1e2714870..6e169f123 100644 --- a/mpas_analysis/ocean/streamfunction_moc.py +++ b/mpas_analysis/ocean/streamfunction_moc.py @@ -183,14 +183,14 @@ def run_task(self): # ------- # Xylar Asay-Davis + if os.path.exists(self.maskAndTransectFileName): + return + # call ComputeRegionMasksSubtask.run_task() first super().run_task() config = self.config - if os.path.exists(self.maskAndTransectFileName): - return - dsMesh = xr.open_dataset(self.obsFileName) dsMask = xr.open_dataset(self.maskFileName) From f78755d35f2db98d555138df7128073abcf17121 Mon Sep 17 00:00:00 2001 From: Xylar Asay-Davis Date: Wed, 15 Mar 2023 16:13:59 +0100 Subject: [PATCH 50/86] Move Cori scripts to nersc dir and add pm-cpu --- ...B-IAF-ISMF.T62_oEC60to30v3wLI.cori-knl.cfg | 0 .../job_script.cori-haswell.bash | 2 +- .../{cori => nersc}/job_script.cori-knl.bash | 2 +- configs/nersc/job_script.pm-cpu.bash | 24 +++++++++++++++++++ 4 files changed, 26 insertions(+), 2 deletions(-) rename configs/{cori => nersc}/20190225.GMPAS-DIB-IAF-ISMF.T62_oEC60to30v3wLI.cori-knl.cfg (100%) rename configs/{cori => nersc}/job_script.cori-haswell.bash (95%) rename configs/{cori => nersc}/job_script.cori-knl.bash (95%) create mode 100644 configs/nersc/job_script.pm-cpu.bash diff --git a/configs/cori/20190225.GMPAS-DIB-IAF-ISMF.T62_oEC60to30v3wLI.cori-knl.cfg b/configs/nersc/20190225.GMPAS-DIB-IAF-ISMF.T62_oEC60to30v3wLI.cori-knl.cfg similarity index 100% rename from configs/cori/20190225.GMPAS-DIB-IAF-ISMF.T62_oEC60to30v3wLI.cori-knl.cfg rename to configs/nersc/20190225.GMPAS-DIB-IAF-ISMF.T62_oEC60to30v3wLI.cori-knl.cfg diff --git a/configs/cori/job_script.cori-haswell.bash b/configs/nersc/job_script.cori-haswell.bash similarity index 95% rename from configs/cori/job_script.cori-haswell.bash rename to configs/nersc/job_script.cori-haswell.bash index 852e6fae6..75140ba57 100644 --- a/configs/cori/job_script.cori-haswell.bash +++ b/configs/nersc/job_script.cori-haswell.bash @@ -19,7 +19,7 @@ export OMP_NUM_THREADS=1 source /global/common/software/e3sm/anaconda_envs/load_latest_e3sm_unified_cori-haswell.sh # alternatively, you can load your own development environment -# source ~/miniconda3/etc/profile.d/conda.sh +# source ~/mambaforge/etc/profile.d/conda.sh # conda activate mpas_dev # export E3SMU_MACHINE=cori-haswell diff --git a/configs/cori/job_script.cori-knl.bash b/configs/nersc/job_script.cori-knl.bash similarity index 95% rename from configs/cori/job_script.cori-knl.bash rename to configs/nersc/job_script.cori-knl.bash index bd7c37008..679157bb1 100644 --- a/configs/cori/job_script.cori-knl.bash +++ b/configs/nersc/job_script.cori-knl.bash @@ -19,7 +19,7 @@ export OMP_NUM_THREADS=1 source /global/common/software/e3sm/anaconda_envs/load_latest_e3sm_unified_cori-knl.sh # alternatively, you can load your own development environment -# source ~/miniconda3/etc/profile.d/conda.sh +# source ~/mambaforge/etc/profile.d/conda.sh # conda activate mpas_dev # export E3SMU_MACHINE=cori-knl diff --git a/configs/nersc/job_script.pm-cpu.bash b/configs/nersc/job_script.pm-cpu.bash new file mode 100644 index 000000000..f096ca4b0 --- /dev/null +++ b/configs/nersc/job_script.pm-cpu.bash @@ -0,0 +1,24 @@ +#!/bin/bash +#SBATCH --job-name=mpas_analysis +#SBATCH --output=mpas_analysis.o%j +#SBATCH --error=mpas_analysis.e%j +#SBATCH --account=e3sm +#SBATCH --nodes=2 +#SBATCH --exclusive +#SBATCH --time=1:00:00 +#SBATCH --qos=regular +#SBATCH --constraint=cpu + +export OMP_NUM_THREADS=1 + +source /global/common/software/e3sm/anaconda_envs/load_latest_e3sm_unified_pm-cpu.sh +# alternatively, you can load your own development environment +# source ~/mambaforge/etc/profile.d/conda.sh +# conda activate mpas_dev +# export E3SMU_MACHINE=pm-cpu + +export HDF5_USE_FILE_LOCKING=FALSE + +# For an E3SM cryosphere run, include --polar_regions, or exclude +# this extra flag for default parameters +mpas_analysis --polar_regions run_name_here.cfg From b19f46f08366880fb614730e62b5327d09c16881 Mon Sep 17 00:00:00 2001 From: Xylar Asay-Davis Date: Wed, 15 Mar 2023 16:14:41 +0100 Subject: [PATCH 51/86] Change miniconda3 to mambaforge --- configs/alcf/job_script.cooley.bash | 2 +- configs/compy/job_script.compy.bash | 2 +- configs/job_script.default.bash | 2 +- configs/lcrc/job_script.anvil.bash | 2 +- configs/lcrc/job_script.chrysalis.bash | 2 +- configs/olcf/job_script.olcf.bash | 2 +- 6 files changed, 6 insertions(+), 6 deletions(-) diff --git a/configs/alcf/job_script.cooley.bash b/configs/alcf/job_script.cooley.bash index 6640ff52f..c5eda7b05 100755 --- a/configs/alcf/job_script.cooley.bash +++ b/configs/alcf/job_script.cooley.bash @@ -5,7 +5,7 @@ source /lus/theta-fs0/projects/ccsm/acme/tools/e3sm-unified/load_latest_e3sm_unified_cooley.sh # alternatively, you can load your own development environment -# source ~/miniconda3/etc/profile.d/conda.sh +# source ~/mambaforge/etc/profile.d/conda.sh # conda activate mpas_dev # export E3SMU_MACHINE=cooley diff --git a/configs/compy/job_script.compy.bash b/configs/compy/job_script.compy.bash index 2fab9fa57..33b153c68 100644 --- a/configs/compy/job_script.compy.bash +++ b/configs/compy/job_script.compy.bash @@ -10,7 +10,7 @@ export OMP_NUM_THREADS=1 source /share/apps/E3SM/conda_envs/load_latest_e3sm_unified_compy.sh # alternatively, you can load your own development environment -# source ~/miniconda3/etc/profile.d/conda.sh +# source ~/mambaforge/etc/profile.d/conda.sh # conda activate mpas_dev # export E3SMU_MACHINE=compy diff --git a/configs/job_script.default.bash b/configs/job_script.default.bash index c46190784..29871522c 100755 --- a/configs/job_script.default.bash +++ b/configs/job_script.default.bash @@ -7,7 +7,7 @@ export OMP_NUM_THREADS=1 -source ~/miniconda3/etc/profile.d/conda.sh +source ~/mambaforge/etc/profile.d/conda.sh conda activate mpas_dev # if you are on an E3SM supported machine, you can specify it: # export E3SMU_MACHINE=chrysalis diff --git a/configs/lcrc/job_script.anvil.bash b/configs/lcrc/job_script.anvil.bash index eedaf5a0b..ef20fa541 100644 --- a/configs/lcrc/job_script.anvil.bash +++ b/configs/lcrc/job_script.anvil.bash @@ -11,7 +11,7 @@ export OMP_NUM_THREADS=1 source /lcrc/soft/climate/e3sm-unified/load_latest_e3sm_unified_anvil.sh # alternatively, you can load your own development environment -# source ~/miniconda3/etc/profile.d/conda.sh +# source ~/mambaforge/etc/profile.d/conda.sh # conda activate mpas_dev # export E3SMU_MACHINE=anvil diff --git a/configs/lcrc/job_script.chrysalis.bash b/configs/lcrc/job_script.chrysalis.bash index 2c98dc53a..598115df5 100644 --- a/configs/lcrc/job_script.chrysalis.bash +++ b/configs/lcrc/job_script.chrysalis.bash @@ -9,7 +9,7 @@ export OMP_NUM_THREADS=1 source /lcrc/soft/climate/e3sm-unified/load_latest_e3sm_unified_chrysalis.sh # alternatively, you can load your own development environment -# source ~/miniconda3/etc/profile.d/conda.sh +# source ~/mambaforge/etc/profile.d/conda.sh # conda activate mpas_dev # export E3SMU_MACHINE=chrysalis diff --git a/configs/olcf/job_script.olcf.bash b/configs/olcf/job_script.olcf.bash index 1cbedd407..431d1bebc 100644 --- a/configs/olcf/job_script.olcf.bash +++ b/configs/olcf/job_script.olcf.bash @@ -9,7 +9,7 @@ source /gpfs/alpine/proj-shared/cli115/e3sm-unified/load_latest_e3sm_unified_andes.csh # alternatively, you can load your own development environment -# source ~/miniconda3/etc/profile.d/conda.sh +# source ~/mambaforge/etc/profile.d/conda.sh # conda activate mpas_dev # export E3SMU_MACHINE=anvil From 2c55f58a269210b3dfc8e2769fbaef15c127dc01 Mon Sep 17 00:00:00 2001 From: Xylar Asay-Davis Date: Fri, 7 Apr 2023 11:03:39 -0500 Subject: [PATCH 52/86] Update test suite with new QU240wLI run I deleted the old one on LCRC by mistake. This merge also fixes an issue where dependencies weren't getting terminated when the jobs they depend on failed. --- suite/run_e3sm_unified_suite.bash | 2 +- suite/run_suite.bash | 16 ++-------------- suite/setup.py | 30 ++++++++++-------------------- 3 files changed, 13 insertions(+), 35 deletions(-) diff --git a/suite/run_e3sm_unified_suite.bash b/suite/run_e3sm_unified_suite.bash index de439a111..77ae2c8f4 100755 --- a/suite/run_e3sm_unified_suite.bash +++ b/suite/run_e3sm_unified_suite.bash @@ -27,7 +27,7 @@ cd .. cd main_vs_ctrl echo main_vs_ctrl -sbatch --dependency=afterok:${RES##* } job_script.bash --kill-on-invalid-dep=yes +sbatch --dependency=afterok:${RES##* } --kill-on-invalid-dep=yes job_script.bash cd .. for run in wc_defaults no_ncclimo no_polar_regions mesh_rename diff --git a/suite/run_suite.bash b/suite/run_suite.bash index d194fbaf0..b0eb31de3 100755 --- a/suite/run_suite.bash +++ b/suite/run_suite.bash @@ -72,11 +72,11 @@ cd .. cd main_vs_ctrl echo main_vs_ctrl -sbatch --dependency=afterok:${RES##* } job_script.bash --kill-on-invalid-dep=yes +sbatch --dependency=afterok:${RES##* } --kill-on-invalid-dep=yes job_script.bash cd .. for run in main_py${alt_py} wc_defaults no_ncclimo no_polar_regions \ - mesh_rename xarray_main + mesh_rename xarray_main QU480 do cd ${run} echo ${run} @@ -85,15 +85,3 @@ do done cd .. - -# only LCRC machines have a separate QU480 run -if [[ "$machine" == "anvil" || "$machine" == "chrysalis" ]] -then - py=${main_py} - conda activate test_mpas_analysis_py${py} - ./suite/setup.py -p ${py} -r QU480 -b ${branch} - cd ${machine}_test_suite/QU480 - echo QU480 - sbatch job_script.bash - cd ../.. -fi diff --git a/suite/setup.py b/suite/setup.py index 06446f535..72da37bfa 100755 --- a/suite/setup.py +++ b/suite/setup.py @@ -50,32 +50,22 @@ def main(): web_section = machine_info.config['web_portal'] web_base = os.path.join(web_section['base_path'], web_section['username']) html_base = f'{web_base}/analysis_testing' - if machine in ['anvil', 'chrysalis']: - input_base = '/lcrc/group/e3sm/ac.xylar/acme_scratch/anvil' - output_base = f'/lcrc/group/e3sm/{username}/analysis_testing' - if args.run == 'QU480': - simulation = '20200305.A_WCYCL1850.ne4_oQU480.anvil' - mesh = 'QU480' - else: - simulation = '20201025.GMPAS-IAF.T62_oQU240wLI.anvil' - mesh = 'oQU240wLI' - elif machine == 'cori-haswell': - input_base = '/global/cfs/cdirs/e3sm/xylar' - scratch = os.environ['CSCRATCH'] - output_base = f'{scratch}/analysis_testing' + if args.run == 'QU480': simulation = '20200305.A_WCYCL1850.ne4_oQU480.anvil' mesh = 'QU480' + else: + simulation = '20230406.GMPAS-IAF-ISMF.T62_oQU240wLI.chrysalis' + mesh = 'oQU240wLI' + if machine in ['anvil', 'chrysalis']: + input_base = '/lcrc/group/e3sm/public_html/diagnostics/mpas_analysis/example_simulations' + output_base = f'/lcrc/group/e3sm/{username}/analysis_testing' elif machine == 'pm-cpu': - input_base = '/global/cfs/cdirs/e3sm/xylar' + input_base = '/global/cfs/cdirs/e3sm/diagnostics/mpas_analysis/example_simulations' scratch = os.environ['SCRATCH'] output_base = f'{scratch}/analysis_testing' - simulation = '20200305.A_WCYCL1850.ne4_oQU480.anvil' - mesh = 'QU480' elif machine == 'compy': - input_base = '/compyfs/asay932/analysis_testing/test_output' + input_base = '/compyfs/diagnostics/mpas_analysis/example_simulations' output_base = f'/compyfs/{username}/analysis_testing' - simulation = '20200305.A_WCYCL1850.ne4_oQU480.anvil' - mesh = 'QU480' else: raise ValueError(f'Machine {machine} is not set up for the test suite ' f'yet.') @@ -111,7 +101,7 @@ def main(): elif mesh == 'oQU240wLI': generate = "['all', 'no_BGC', 'no_icebergs', 'no_index', 'no_eke', " \ "'no_waves']" - end_year = '8' + end_year = '10' else: raise ValueError(f'Unexpected mesh: {mesh}') From dbf8ac66f17b8e288c7730306a6084632f370b38 Mon Sep 17 00:00:00 2001 From: Xylar Asay-Davis Date: Fri, 7 Apr 2023 11:05:42 -0500 Subject: [PATCH 53/86] Add a developer test suite that uses mpas_dev This suite runs much faster than the full suite because it uses the mpas_dev development environment rather than building conda packages. --- suite/run_dev_suite.bash | 58 ++++++++++++++++++++++++++++++++++++++++ 1 file changed, 58 insertions(+) create mode 100755 suite/run_dev_suite.bash diff --git a/suite/run_dev_suite.bash b/suite/run_dev_suite.bash new file mode 100755 index 000000000..5b5f63590 --- /dev/null +++ b/suite/run_dev_suite.bash @@ -0,0 +1,58 @@ +#!/usr/bin/env bash + +set -e + +env_name=mpas_dev + +conda_base=$(dirname $(dirname $CONDA_EXE)) +source $conda_base/etc/profile.d/conda.sh +source $conda_base/etc/profile.d/mamba.sh + +export HDF5_USE_FILE_LOCKING=FALSE + +branch=$(git symbolic-ref --short HEAD) + +# test building the docs +mamba activate ${env_name} +cd docs +make clean +make html +cd .. + +machine=$(python -c "from mache import discover_machine; print(discover_machine())") + +py=3.11 +./suite/setup.py -p ${py} -r main_py${py} -b ${branch} --copy_docs --clean -e ${env_name} +./suite/setup.py -p ${py} -r wc_defaults -b ${branch} --no_polar_regions -e ${env_name} +./suite/setup.py -p ${py} -r no_ncclimo -b ${branch} -e ${env_name} +./suite/setup.py -p ${py} -r ctrl -b ${branch} -e ${env_name} +./suite/setup.py -p ${py} -r main_vs_ctrl -b ${branch} -e ${env_name} +./suite/setup.py -p ${py} -r no_polar_regions -b ${branch} --no_polar_regions -e ${env_name} +./suite/setup.py -p ${py} -r mesh_rename -b ${branch} -e ${env_name} +./suite/setup.py -p ${py} -r QU480 -b ${branch} -e ${env_name} + +# submit the jobs +cd ${machine}_test_suite + +main_py=3.11 +cd main_py${main_py} +echo main_py${main_py} +RES=$(sbatch job_script.bash) +cd .. + +cd main_vs_ctrl +echo main_vs_ctrl +sbatch --dependency=afterok:${RES##* } --kill-on-invalid-dep=yes job_script.bash +cd .. + +for run in wc_defaults no_ncclimo no_polar_regions \ + mesh_rename QU480 +do + cd ${run} + echo ${run} + sbatch job_script.bash + cd .. +done + +cd .. + From 6962248ab17e1cdf88fbe014ec4a272e93098796 Mon Sep 17 00:00:00 2001 From: Xylar Asay-Davis Date: Sat, 8 Apr 2023 08:52:17 -0500 Subject: [PATCH 54/86] Fix NaNs in MOC postprocessing --- mpas_analysis/ocean/streamfunction_moc.py | 9 +++++++-- 1 file changed, 7 insertions(+), 2 deletions(-) diff --git a/mpas_analysis/ocean/streamfunction_moc.py b/mpas_analysis/ocean/streamfunction_moc.py index 6e169f123..4dc9e9010 100644 --- a/mpas_analysis/ocean/streamfunction_moc.py +++ b/mpas_analysis/ocean/streamfunction_moc.py @@ -582,6 +582,8 @@ def _compute_moc_climo_postprocess(self): layerThickness, cellsOnEdge) + print(transportZ) + regionCellMask = dictRegion[region]['cellMask'] latBinSize = \ config.getfloat('streamfunctionMOC{}'.format(region), @@ -596,6 +598,7 @@ def _compute_moc_climo_postprocess(self): latBinSize) mocTop = _compute_moc(latBins, nVertLevels, latCell, regionCellMask, transportZ, velArea) + print(mocTop) # Store computed MOC to dictionary lat[region] = latBins @@ -1656,11 +1659,13 @@ def _compute_transport(maxEdgesInTransect, transectEdgeGlobalIDs, coe1 = cellsOnEdge[iEdge, 1] layerThicknessEdge = 0.5*(layerThickness[coe0, :] + layerThickness[coe1, :]) + print(i, layerThicknessEdge) transportZEdge[:, i] = horizontalVel[iEdge, :] * \ transectEdgeMaskSigns[iEdge, np.newaxis] * \ dvEdge[iEdge, np.newaxis] * \ layerThicknessEdge[np.newaxis, :] - transportZ = transportZEdge.sum(axis=1) + print(transportZEdge[:, i]) + transportZ = np.nansum(transportZEdge, axis=1) return transportZ @@ -1676,7 +1681,7 @@ def _compute_moc(latBins, nz, latCell, regionCellMask, transportZ, regionCellMask == 1, latCell >= latBins[iLat - 1]), latCell < latBins[iLat]) mocTop[iLat, :] = mocTop[iLat - 1, :] + \ - velArea[indlat, :].sum(axis=0) + np.nansum(velArea[indlat, :], axis=0) # convert m^3/s to Sverdrup mocTop = mocTop * m3ps_to_Sv mocTop = mocTop.T From b1ec4b0ba75472e7b6f8fcf420d135cdc271147f Mon Sep 17 00:00:00 2001 From: Xylar Asay-Davis Date: Sat, 8 Apr 2023 04:41:48 -0500 Subject: [PATCH 55/86] Fix region masking for TS diagrams With the latest xarray (2023.3.0), we can't use chunked (dask) data arrays as boolean masks anymore. --- mpas_analysis/ocean/regional_ts_diagrams.py | 20 ++++++++++++-------- 1 file changed, 12 insertions(+), 8 deletions(-) diff --git a/mpas_analysis/ocean/regional_ts_diagrams.py b/mpas_analysis/ocean/regional_ts_diagrams.py index 870113d31..a2e187e33 100644 --- a/mpas_analysis/ocean/regional_ts_diagrams.py +++ b/mpas_analysis/ocean/regional_ts_diagrams.py @@ -605,7 +605,12 @@ def _write_mpas_t_s(self, config): raise IOError('No MPAS-O restart file found: need at least one' ' restart file to plot T-S diagrams') dsRestart = xarray.open_dataset(restartFileName) - dsRestart = dsRestart.isel(Time=0).chunk(chunk) + dsRestart = dsRestart.isel(Time=0) + if 'landIceMask' in dsRestart: + landIceMask = dsRestart.landIceMask + else: + landIceMask = None + dsRestart = dsRestart.chunk(chunk) regionMaskFileName = self.mpasMasksSubtask.maskFileName @@ -614,13 +619,12 @@ def _write_mpas_t_s(self, config): maskRegionNames = decode_strings(dsRegionMask.regionNames) regionIndex = maskRegionNames.index(self.regionName) - dsMask = dsRegionMask.isel(nRegions=regionIndex).chunk(chunk) + dsMask = dsRegionMask.isel(nRegions=regionIndex) cellMask = dsMask.regionCellMasks == 1 - if 'landIceMask' in dsRestart: + if landIceMask is not None: # only the region outside of ice-shelf cavities - cellMask = numpy.logical_and(cellMask, - dsRestart.landIceMask == 0) + cellMask = numpy.logical_and(cellMask, landIceMask == 0) if config.has_option(sectionName, 'zmin'): zmin = config.getfloat(sectionName, 'zmin') @@ -714,12 +718,12 @@ def _write_obs_t_s(self, obsDict, zmin, zmax): regionMaskFileName = obsDict['maskTask'].maskFileName dsRegionMask = \ - xarray.open_dataset(regionMaskFileName).chunk(chunk).stack( + xarray.open_dataset(regionMaskFileName).stack( nCells=(obsDict['latVar'], obsDict['lonVar'])) dsRegionMask = dsRegionMask.reset_index('nCells').drop_vars( [obsDict['latVar'], obsDict['lonVar']]) if 'nCells' in dsRegionMask.data_vars: - dsRegionMaks = dsRegionMask.drop_vars(['nCells']) + dsRegionMask = dsRegionMask.drop_vars(['nCells']) maskRegionNames = decode_strings(dsRegionMask.regionNames) regionIndex = maskRegionNames.index(self.regionName) @@ -750,7 +754,7 @@ def _write_obs_t_s(self, obsDict, zmin, zmax): ds = ds.stack(nCells=(obsDict['latVar'], obsDict['lonVar'])) ds = ds.reset_index('nCells').drop_vars( [obsDict['latVar'], obsDict['lonVar']]) - if 'nCells' in dsRegionMask.data_vars: + if 'nCells' in ds.data_vars: ds = ds.drop_vars(['nCells']) ds = ds.where(cellMask, drop=True) From 01de50e09b7888d89c0f1cd1588f43b1b25b9686 Mon Sep 17 00:00:00 2001 From: Xylar Asay-Davis Date: Sun, 9 Apr 2023 10:21:21 +0200 Subject: [PATCH 56/86] Rename write_netcdf_with_fill to avoid confusion The `write_netcdf` function also exists in MPAS-Tools and it is only for MPAS data. For clarity, we want the MPAS-Analysis version to be clearer. We also skip adding fill values for variables that already have the appropriate attribute set. --- mpas_analysis/shared/io/__init__.py | 2 +- mpas_analysis/shared/io/write_netcdf.py | 21 ++++++++++++--------- 2 files changed, 13 insertions(+), 10 deletions(-) diff --git a/mpas_analysis/shared/io/__init__.py b/mpas_analysis/shared/io/__init__.py index e8694a66b..95c96be99 100644 --- a/mpas_analysis/shared/io/__init__.py +++ b/mpas_analysis/shared/io/__init__.py @@ -1,5 +1,5 @@ from mpas_analysis.shared.io.namelist_streams_interface import NameList, \ StreamsFile from mpas_analysis.shared.io.utility import paths, decode_strings -from mpas_analysis.shared.io.write_netcdf import write_netcdf +from mpas_analysis.shared.io.write_netcdf import write_netcdf_with_fill from mpas_analysis.shared.io.mpas_reader import open_mpas_dataset diff --git a/mpas_analysis/shared/io/write_netcdf.py b/mpas_analysis/shared/io/write_netcdf.py index d49c09124..df6ff7de9 100644 --- a/mpas_analysis/shared/io/write_netcdf.py +++ b/mpas_analysis/shared/io/write_netcdf.py @@ -12,7 +12,7 @@ import numpy -def write_netcdf(ds, fileName, fillValues=netCDF4.default_fillvals): +def write_netcdf_with_fill(ds, fileName, fillValues=netCDF4.default_fillvals): """ Write an xarray data set to a NetCDF file using finite fill values and unicode strings @@ -40,17 +40,20 @@ def write_netcdf(ds, fileName, fillValues=netCDF4.default_fillvals): dtype = ds[variableName].dtype # add fill values for types that have them - for fillType in fillValues: - if dtype == numpy.dtype(fillType): - encodingDict[variableName] = \ - {'_FillValue': fillValues[fillType]} - break + isNumeric = numpy.issubdtype(ds[variableName].dtype, + numpy.number) + if isNumeric and numpy.any(numpy.isnan(ds[variableName])): + dtype = ds[variableName].dtype + for fillType in fillValues: + if dtype == numpy.dtype(fillType): + encodingDict[variableName] = \ + {'_FillValue': fillValues[fillType]} + break + else: + encodingDict[variableName] = {'_FillValue': None} # make strings write as unicode instead if dtype.type is numpy.string_: encodingDict[variableName] = {'dtype': str} ds.to_netcdf(fileName, encoding=encodingDict) - - -# vim: ai ts=4 sts=4 et sw=4 ft=python From 77a8bd20cbec6f6f2ff1f7f8575b50fbecff5046 Mon Sep 17 00:00:00 2001 From: Xylar Asay-Davis Date: Sun, 9 Apr 2023 10:25:37 +0200 Subject: [PATCH 57/86] Switch to write_netcdf_with_fill in most places --- .../ocean/climatology_map_antarctic_melt.py | 4 ++-- mpas_analysis/ocean/compute_anomaly_subtask.py | 4 ++-- mpas_analysis/ocean/compute_transects_subtask.py | 14 +++++++------- mpas_analysis/ocean/histogram.py | 6 +++--- mpas_analysis/ocean/hovmoller_ocean_regions.py | 4 ++-- mpas_analysis/ocean/meridional_heat_transport.py | 4 ++-- mpas_analysis/ocean/ocean_regional_profiles.py | 8 ++++---- .../plot_depth_integrated_time_series_subtask.py | 4 ++-- mpas_analysis/ocean/regional_ts_diagrams.py | 12 ++++++------ mpas_analysis/ocean/sose_transects.py | 4 ++-- mpas_analysis/ocean/streamfunction_moc.py | 2 +- mpas_analysis/ocean/time_series_antarctic_melt.py | 6 +++--- mpas_analysis/ocean/time_series_ocean_regions.py | 10 +++++----- mpas_analysis/ocean/time_series_transport.py | 6 +++--- mpas_analysis/sea_ice/time_series.py | 4 ++-- mpas_analysis/shared/climatology/climatology.py | 9 +++++---- .../shared/climatology/mpas_climatology_task.py | 4 ++-- .../climatology/remap_mpas_climatology_subtask.py | 6 ++++-- .../remap_observed_climatology_subtask.py | 6 +++--- .../shared/regions/compute_region_masks_subtask.py | 4 ++-- .../transects/compute_transect_masks_subtask.py | 4 ++-- 21 files changed, 64 insertions(+), 61 deletions(-) diff --git a/mpas_analysis/ocean/climatology_map_antarctic_melt.py b/mpas_analysis/ocean/climatology_map_antarctic_melt.py index 50edc4729..309dcc0aa 100644 --- a/mpas_analysis/ocean/climatology_map_antarctic_melt.py +++ b/mpas_analysis/ocean/climatology_map_antarctic_melt.py @@ -19,7 +19,7 @@ from mpas_analysis.shared.io.utility import build_obs_path, decode_strings, \ build_config_full_path -from mpas_analysis.shared.io import write_netcdf +from mpas_analysis.shared.io import write_netcdf_with_fill from mpas_analysis.shared.climatology import RemapMpasClimatologySubtask, \ RemapObservedClimatologySubtask @@ -463,7 +463,7 @@ def run_task(self): ds['regionNames'] = dsRegionMask.regionNames - write_netcdf(ds, meltRateFileName) + write_netcdf_with_fill(ds, meltRateFileName) else: ds = xr.open_dataset(meltRateFileName) diff --git a/mpas_analysis/ocean/compute_anomaly_subtask.py b/mpas_analysis/ocean/compute_anomaly_subtask.py index b2caf87e0..6bcdfc357 100644 --- a/mpas_analysis/ocean/compute_anomaly_subtask.py +++ b/mpas_analysis/ocean/compute_anomaly_subtask.py @@ -15,7 +15,7 @@ from mpas_analysis.shared import AnalysisTask -from mpas_analysis.shared.io import write_netcdf +from mpas_analysis.shared.io import write_netcdf_with_fill from mpas_analysis.shared.timekeeping.utility import \ get_simulation_start_time, string_to_datetime @@ -192,4 +192,4 @@ def run_task(self): outFileName = '{}/{}'.format(baseDirectory, outFileName) - write_netcdf(ds, outFileName) + write_netcdf_with_fill(ds, outFileName) diff --git a/mpas_analysis/ocean/compute_transects_subtask.py b/mpas_analysis/ocean/compute_transects_subtask.py index d2423896e..1f00d3cf3 100644 --- a/mpas_analysis/ocean/compute_transects_subtask.py +++ b/mpas_analysis/ocean/compute_transects_subtask.py @@ -29,7 +29,7 @@ from mpas_analysis.shared.io.utility import build_config_full_path, \ make_directories -from mpas_analysis.shared.io import write_netcdf +from mpas_analysis.shared.io import write_netcdf_with_fill from mpas_analysis.ocean.utility import compute_zmid @@ -419,10 +419,10 @@ def _vertical_interp(self, ds, transectIndex, dsObs, outFileName, dsObs = interp_1d(dsObs, inInterpDim='nz', inInterpCoord='z', outInterpDim='nzOut', outInterpCoord='zOut') dsObs = dsObs.rename({'nzOut': 'nz'}) - write_netcdf(dsObs, outObsFileName) + write_netcdf_with_fill(dsObs, outObsFileName) ds = ds.drop_vars(['validMask', 'transectNumber']) - write_netcdf(ds, outFileName) + write_netcdf_with_fill(ds, outFileName) def get_mpas_transect_file_name(self, transectName): """Get the file name for a masked MPAS transect info""" @@ -511,9 +511,9 @@ def _compute_mpas_transects(self, dsMesh): dim='nHorizWeights') dsMpasTransect['landIceFraction'] = landIceFraction - # use to_netcdf rather than write_netcdf because integer indices - # are getting converted to floats when xarray reads them back - # because of _FillValue + # use to_netcdf rather than write_netcdf_with_fill because + # integer indices are getting converted to floats when xarray + # reads them back because of _FillValue dsMpasTransect.to_netcdf(transectInfoFileName) dsTransectOnMpas = xr.Dataset(dsMpasTransect) @@ -666,7 +666,7 @@ def get_observations(self): dsObs.coords[coord] = dsObs[coord] dsObs = self._add_distance(dsObs) - write_netcdf(dsObs, outFileName) + write_netcdf_with_fill(dsObs, outFileName) obsDatasets[name] = dsObs return obsDatasets diff --git a/mpas_analysis/ocean/histogram.py b/mpas_analysis/ocean/histogram.py index bcd2041db..92b2878aa 100644 --- a/mpas_analysis/ocean/histogram.py +++ b/mpas_analysis/ocean/histogram.py @@ -17,7 +17,7 @@ from mpas_analysis.shared import AnalysisTask -from mpas_analysis.shared.io import open_mpas_dataset, write_netcdf +from mpas_analysis.shared.io import open_mpas_dataset, write_netcdf_with_fill from mpas_analysis.shared.io.utility import build_config_full_path, \ build_obs_path, make_directories, decode_strings from mpas_analysis.shared.climatology import compute_climatology, \ @@ -256,7 +256,7 @@ def run_task(self): # referenced by future analysis (i.e., as a control run) new_region_mask_filename = \ f'{base_directory}/{self.filePrefix}_{self.regionName}_mask.nc' - write_netcdf(ds_mask, new_region_mask_filename) + write_netcdf_with_fill(ds_mask, new_region_mask_filename) if self.weightList is not None: ds_weights = xarray.Dataset() @@ -273,7 +273,7 @@ def run_task(self): weights_filename = \ f'{base_directory}/{self.filePrefix}_{self.regionName}_weights.nc' - write_netcdf(ds_weights, weights_filename) + write_netcdf_with_fill(ds_weights, weights_filename) class PlotRegionHistogramSubtask(AnalysisTask): diff --git a/mpas_analysis/ocean/hovmoller_ocean_regions.py b/mpas_analysis/ocean/hovmoller_ocean_regions.py index e155d5110..186197af5 100644 --- a/mpas_analysis/ocean/hovmoller_ocean_regions.py +++ b/mpas_analysis/ocean/hovmoller_ocean_regions.py @@ -17,7 +17,7 @@ from mpas_analysis.shared import AnalysisTask from mpas_analysis.ocean.plot_hovmoller_subtask import PlotHovmollerSubtask -from mpas_analysis.shared.io import write_netcdf +from mpas_analysis.shared.io import write_netcdf_with_fill from mpas_analysis.shared.timekeeping.utility import \ get_simulation_start_time, string_to_datetime @@ -308,4 +308,4 @@ def run_task(self): outFileName = '{}/{}'.format(baseDirectory, outFileName) - write_netcdf(ds, outFileName) + write_netcdf_with_fill(ds, outFileName) diff --git a/mpas_analysis/ocean/meridional_heat_transport.py b/mpas_analysis/ocean/meridional_heat_transport.py index 7e62e587c..4ef373186 100644 --- a/mpas_analysis/ocean/meridional_heat_transport.py +++ b/mpas_analysis/ocean/meridional_heat_transport.py @@ -16,7 +16,7 @@ from mpas_analysis.shared.plot import plot_vertical_section, plot_1D, savefig from mpas_analysis.shared.io.utility import make_directories, build_obs_path -from mpas_analysis.shared.io import write_netcdf +from mpas_analysis.shared.io import write_netcdf_with_fill from mpas_analysis.shared import AnalysisTask from mpas_analysis.shared.html import write_image_xml @@ -264,7 +264,7 @@ def run_task(self): annualClimatology['meridionalHeatTransportLatZ'] /= \ refLayerThickness - write_netcdf(annualClimatology, outFileName) + write_netcdf_with_fill(annualClimatology, outFileName) # **** Plot MHT **** maxTitleLength = 70 diff --git a/mpas_analysis/ocean/ocean_regional_profiles.py b/mpas_analysis/ocean/ocean_regional_profiles.py index 30a288b4f..506e2f77d 100644 --- a/mpas_analysis/ocean/ocean_regional_profiles.py +++ b/mpas_analysis/ocean/ocean_regional_profiles.py @@ -21,7 +21,7 @@ from mpas_analysis.shared import AnalysisTask from mpas_analysis.shared.io.utility import build_config_full_path, \ get_files_year_month, make_directories, decode_strings -from mpas_analysis.shared.io import open_mpas_dataset, write_netcdf +from mpas_analysis.shared.io import open_mpas_dataset, write_netcdf_with_fill from mpas_analysis.shared.timekeeping.utility import days_to_datetime from mpas_analysis.shared.climatology import compute_climatology from mpas_analysis.shared.constants import constants @@ -419,7 +419,7 @@ def run_task(self): dsOut.coords['z'] = (('nVertLevels',), z) dsOut['z'].attrs['units'] = 'meters' - write_netcdf(dsOut, outputFileName) + write_netcdf_with_fill(dsOut, outputFileName) @staticmethod def _masked_area_sum(cellMasks, areaCell, var): @@ -529,7 +529,7 @@ def run_task(self): ds['totalArea'] = ds['totalArea'].isel(Time=0) - write_netcdf(ds, outputFileName) + write_netcdf_with_fill(ds, outputFileName) regionNames = ds['regionNames'] ds = ds.drop_vars('regionNames') @@ -567,7 +567,7 @@ def run_task(self): dsSeason['{}_mean'.format(prefix)] = mean dsSeason.coords['regionNames'] = regionNames - write_netcdf(dsSeason, outputFileName) + write_netcdf_with_fill(dsSeason, outputFileName) class PlotRegionalProfileTimeSeriesSubtask(AnalysisTask): diff --git a/mpas_analysis/ocean/plot_depth_integrated_time_series_subtask.py b/mpas_analysis/ocean/plot_depth_integrated_time_series_subtask.py index ee006390a..4b2f0a9be 100644 --- a/mpas_analysis/ocean/plot_depth_integrated_time_series_subtask.py +++ b/mpas_analysis/ocean/plot_depth_integrated_time_series_subtask.py @@ -18,7 +18,7 @@ from mpas_analysis.shared.plot import timeseries_analysis_plot, savefig -from mpas_analysis.shared.io import open_mpas_dataset, write_netcdf +from mpas_analysis.shared.io import open_mpas_dataset, write_netcdf_with_fill from mpas_analysis.shared.timekeeping.utility import date_to_days, \ days_to_datetime @@ -378,7 +378,7 @@ def run_task(self): # write out the data set and read it back as a single-file data set # (without dask) dsPreprocessed = dsPreprocessed.drop_vars('xtime') - write_netcdf(dsPreprocessed, self.preprocessedFileName) + write_netcdf_with_fill(dsPreprocessed, self.preprocessedFileName) dsPreprocessed = xarray.open_dataset(self.preprocessedFileName) if preprocessedReferenceRunName != 'None': diff --git a/mpas_analysis/ocean/regional_ts_diagrams.py b/mpas_analysis/ocean/regional_ts_diagrams.py index a2e187e33..67cf6da93 100644 --- a/mpas_analysis/ocean/regional_ts_diagrams.py +++ b/mpas_analysis/ocean/regional_ts_diagrams.py @@ -28,7 +28,7 @@ from mpas_analysis.shared.plot import savefig, add_inset -from mpas_analysis.shared.io import write_netcdf +from mpas_analysis.shared.io import write_netcdf_with_fill from mpas_analysis.shared.io.utility import decode_strings, \ build_obs_path, build_config_full_path, make_directories @@ -387,7 +387,7 @@ def run_task(self): self.logger.info(' computing the dataset') ds.compute() self.logger.info(' writing temp file {}...'.format(temp_file_name)) - write_netcdf(ds, temp_file_name) + write_netcdf_with_fill(ds, temp_file_name) chunk = {obsDict['latVar']: 400, obsDict['lonVar']: 400} @@ -414,7 +414,7 @@ def run_task(self): self.logger.info(' computing the dataset') ds.compute() self.logger.info(' writing temp file {}...'.format(temp_file_name)) - write_netcdf(ds, temp_file_name) + write_netcdf_with_fill(ds, temp_file_name) self.logger.info(' Reading back from {}...'.format(temp_file_name)) ds = xarray.open_dataset(temp_file_name, chunks=chunk) @@ -434,7 +434,7 @@ def run_task(self): self.logger.info(' computing the dataset') ds.compute() self.logger.info(' writing {}...'.format(self.fileName)) - write_netcdf(ds, self.fileName) + write_netcdf_with_fill(ds, self.fileName) for file_name in temp_files: self.logger.info(' Deleting temp file {}'.format(file_name)) os.remove(file_name) @@ -692,7 +692,7 @@ def _write_mpas_t_s(self, config): dsOut['z'] = ('nPoints', zMid) dsOut['volume'] = ('nPoints', volume) dsOut['zbounds'] = ('nBounds', [zmin, zmax]) - write_netcdf(dsOut, outFileName) + write_netcdf_with_fill(dsOut, outFileName) return zmin, zmax @@ -784,7 +784,7 @@ def _write_obs_t_s(self, obsDict, zmin, zmax): dsOut['z'] = ('nPoints', z) dsOut['volume'] = ('nPoints', volume) dsOut['zbounds'] = ('nBounds', [zmin, zmax]) - write_netcdf(dsOut, outFileName) + write_netcdf_with_fill(dsOut, outFileName) class PlotRegionTSDiagramSubtask(AnalysisTask): diff --git a/mpas_analysis/ocean/sose_transects.py b/mpas_analysis/ocean/sose_transects.py index 15b472620..60ad514c9 100644 --- a/mpas_analysis/ocean/sose_transects.py +++ b/mpas_analysis/ocean/sose_transects.py @@ -25,7 +25,7 @@ from mpas_analysis.shared.io.utility import build_config_full_path, \ make_directories, build_obs_path -from mpas_analysis.shared.io import write_netcdf +from mpas_analysis.shared.io import write_netcdf_with_fill class SoseTransects(AnalysisTask): @@ -383,7 +383,7 @@ def combine_observations(self): z = dsObs.z.values z[0] = 0. dsObs['z'] = ('z', z) - write_netcdf(dsObs, combinedFileName) + write_netcdf_with_fill(dsObs, combinedFileName) print(' Done.') diff --git a/mpas_analysis/ocean/streamfunction_moc.py b/mpas_analysis/ocean/streamfunction_moc.py index 4dc9e9010..3e5d9ada7 100644 --- a/mpas_analysis/ocean/streamfunction_moc.py +++ b/mpas_analysis/ocean/streamfunction_moc.py @@ -25,7 +25,7 @@ from mpas_analysis.shared.io.utility import build_config_full_path, \ make_directories, get_files_year_month, get_region_mask -from mpas_analysis.shared.io import open_mpas_dataset\ +from mpas_analysis.shared.io import open_mpas_dataset from mpas_analysis.shared.timekeeping.utility import days_to_datetime diff --git a/mpas_analysis/ocean/time_series_antarctic_melt.py b/mpas_analysis/ocean/time_series_antarctic_melt.py index 9cfa9097e..1935c198d 100644 --- a/mpas_analysis/ocean/time_series_antarctic_melt.py +++ b/mpas_analysis/ocean/time_series_antarctic_melt.py @@ -23,7 +23,7 @@ from mpas_analysis.shared.plot import timeseries_analysis_plot, savefig, \ add_inset -from mpas_analysis.shared.io import open_mpas_dataset, write_netcdf +from mpas_analysis.shared.io import open_mpas_dataset, write_netcdf_with_fill from mpas_analysis.shared.io.utility import build_config_full_path, \ make_directories, build_obs_path, decode_strings @@ -354,7 +354,7 @@ def run_task(self): dsOut.meltRates.attrs['description'] = \ 'Melt rate averaged over each ice shelf or region' - write_netcdf(dsOut, outFileName) + write_netcdf_with_fill(dsOut, outFileName) class CombineMeltSubtask(AnalysisTask): @@ -421,7 +421,7 @@ def run_task(self): ds.load() - write_netcdf(ds, outFileName) + write_netcdf_with_fill(ds, outFileName) class PlotMeltSubtask(AnalysisTask): diff --git a/mpas_analysis/ocean/time_series_ocean_regions.py b/mpas_analysis/ocean/time_series_ocean_regions.py index 027e34713..d89c0daeb 100644 --- a/mpas_analysis/ocean/time_series_ocean_regions.py +++ b/mpas_analysis/ocean/time_series_ocean_regions.py @@ -21,7 +21,7 @@ from mpas_analysis.shared.plot import timeseries_analysis_plot, savefig, \ add_inset -from mpas_analysis.shared.io import open_mpas_dataset, write_netcdf +from mpas_analysis.shared.io import open_mpas_dataset, write_netcdf_with_fill from mpas_analysis.shared.io.utility import build_config_full_path, \ build_obs_path, get_files_year_month, decode_strings, get_region_mask @@ -385,7 +385,7 @@ def run_task(self): dsOut['zbounds'] = (('nRegions', 'nbounds'), zbounds) dsOut['areaCell'] = areaCell dsOut['regionNames'] = dsRegionMask.regionNames - write_netcdf(dsOut, outFileName) + write_netcdf_with_fill(dsOut, outFileName) class ComputeRegionTimeSeriesSubtask(AnalysisTask): @@ -648,7 +648,7 @@ def run_task(self): dsOut.coords['month'] = (('Time',), months) dsOut['month'].attrs['units'] = 'months' - write_netcdf(dsOut, outFileName) + write_netcdf_with_fill(dsOut, outFileName) def _add_thermal_forcing(self, dsIn, cellMask): """ compute the thermal forcing """ @@ -763,7 +763,7 @@ def run_task(self): for var in ['totalArea', 'zbounds']: ds[var] = ds[var].isel(Time=0, drop=True) - write_netcdf(ds, outFileName) + write_netcdf_with_fill(ds, outFileName) class ComputeObsRegionalTimeSeriesSubtask(AnalysisTask): @@ -1001,7 +1001,7 @@ def run_task(self): dsOut['zbounds'] = ('nBounds', [zmin, zmax]) dsOut['month'] = ('Time', numpy.array(ds.month.values, dtype=float)) dsOut['year'] = ('Time', numpy.ones(ds.sizes[tDim])) - write_netcdf(dsOut, outFileName) + write_netcdf_with_fill(dsOut, outFileName) class PlotRegionTimeSeriesSubtask(AnalysisTask): diff --git a/mpas_analysis/ocean/time_series_transport.py b/mpas_analysis/ocean/time_series_transport.py index a96648786..7b714f710 100644 --- a/mpas_analysis/ocean/time_series_transport.py +++ b/mpas_analysis/ocean/time_series_transport.py @@ -22,7 +22,7 @@ from mpas_analysis.shared.plot import timeseries_analysis_plot, savefig, \ add_inset -from mpas_analysis.shared.io import open_mpas_dataset, write_netcdf +from mpas_analysis.shared.io import open_mpas_dataset, write_netcdf_with_fill from mpas_analysis.shared.io.utility import build_config_full_path, \ get_files_year_month, decode_strings @@ -383,7 +383,7 @@ def run_task(self): dsOut['year'].attrs['units'] = 'years' dsOut.coords['month'] = (('Time',), months) dsOut['month'].attrs['units'] = 'months' - write_netcdf(dsOut, outFileName) + write_netcdf_with_fill(dsOut, outFileName) class CombineTransportSubtask(AnalysisTask): @@ -448,7 +448,7 @@ def run_task(self): ds = xarray.open_mfdataset(inFileNames, combine='nested', concat_dim='Time', decode_times=False) ds.load() - write_netcdf(ds, outFileName) + write_netcdf_with_fill(ds, outFileName) class PlotTransportSubtask(AnalysisTask): diff --git a/mpas_analysis/sea_ice/time_series.py b/mpas_analysis/sea_ice/time_series.py index 05ea0599d..709327b1f 100644 --- a/mpas_analysis/sea_ice/time_series.py +++ b/mpas_analysis/sea_ice/time_series.py @@ -25,7 +25,7 @@ MpasRelativeDelta from mpas_analysis.shared.time_series import combine_time_series_with_ncrcat -from mpas_analysis.shared.io import open_mpas_dataset, write_netcdf +from mpas_analysis.shared.io import open_mpas_dataset, write_netcdf_with_fill from mpas_analysis.shared.html import write_image_xml @@ -635,6 +635,6 @@ def _compute_area_vol(self): dsTimeSeries[hemisphere] = dsAreaSum - write_netcdf(dsAreaSum, outFileNames[hemisphere]) + write_netcdf_with_fill(dsAreaSum, outFileNames[hemisphere]) return dsTimeSeries diff --git a/mpas_analysis/shared/climatology/climatology.py b/mpas_analysis/shared/climatology/climatology.py index 3933a1c67..7210fdd25 100644 --- a/mpas_analysis/shared/climatology/climatology.py +++ b/mpas_analysis/shared/climatology/climatology.py @@ -20,6 +20,7 @@ import numpy from tempfile import TemporaryDirectory +from mpas_tools.io import write_netcdf from pyremap import Remapper, LatLonGridDescriptor, ProjectionGridDescriptor from mpas_analysis.shared.constants import constants @@ -28,7 +29,7 @@ from mpas_analysis.shared.io.utility import build_config_full_path, \ make_directories, fingerprint_generator -from mpas_analysis.shared.io import write_netcdf +from mpas_analysis.shared.io import write_netcdf_with_fill from mpas_analysis.shared.climatology.comparison_descriptors import \ get_comparison_descriptor, known_comparison_grids @@ -382,7 +383,7 @@ def remap_and_write_climatology(config, climatologyDataSet, remappedClimatology = remapper.remap(climatologyDataSet, renormalizationThreshold) - write_netcdf(remappedClimatology, remappedFileName) + write_netcdf_with_fill(remappedClimatology, remappedFileName) return remappedClimatology @@ -795,7 +796,7 @@ def _cache_individual_climatologies(ds, cacheInfo, printProgress, climatology.attrs['totalMonths'] = monthCount climatology.attrs['fingerprintClimo'] = fingerprint_generator() - write_netcdf(climatology, outputFileClimo) + write_netcdf_with_fill(climatology, outputFileClimo) climatology.close() @@ -871,7 +872,7 @@ def _cache_aggregated_climatology(startYearClimo, endYearClimo, cachePrefix, climatology.attrs['totalMonths'] = totalMonths climatology.attrs['fingerprintClimo'] = fingerprint_generator() - write_netcdf(climatology, outputFileClimo) + write_netcdf_with_fill(climatology, outputFileClimo) return climatology diff --git a/mpas_analysis/shared/climatology/mpas_climatology_task.py b/mpas_analysis/shared/climatology/mpas_climatology_task.py index d9d4dd488..58b4b4a3f 100644 --- a/mpas_analysis/shared/climatology/mpas_climatology_task.py +++ b/mpas_analysis/shared/climatology/mpas_climatology_task.py @@ -18,6 +18,8 @@ from multiprocessing.pool import ThreadPool import glob +from mpas_tools.io import write_netcdf + from mpas_analysis.shared.analysis_task import AnalysisTask from mpas_analysis.shared.climatology.climatology import \ @@ -28,8 +30,6 @@ from mpas_analysis.shared.io.utility import make_directories, \ get_files_year_month -from mpas_analysis.shared.io import write_netcdf - from mpas_analysis.shared.constants import constants diff --git a/mpas_analysis/shared/climatology/remap_mpas_climatology_subtask.py b/mpas_analysis/shared/climatology/remap_mpas_climatology_subtask.py index 4299acd3e..02c2ee35c 100644 --- a/mpas_analysis/shared/climatology/remap_mpas_climatology_subtask.py +++ b/mpas_analysis/shared/climatology/remap_mpas_climatology_subtask.py @@ -12,6 +12,8 @@ import xarray as xr import numpy import os + +from mpas_tools.io import write_netcdf from pyremap import MpasMeshDescriptor from mpas_analysis.shared.analysis_task import AnalysisTask @@ -20,7 +22,7 @@ from mpas_analysis.shared.io.utility import build_config_full_path, \ make_directories -from mpas_analysis.shared.io import write_netcdf +from mpas_analysis.shared.io import write_netcdf_with_fill from mpas_analysis.shared.climatology.climatology import get_remapper, \ get_masked_mpas_climatology_file_name, \ @@ -616,4 +618,4 @@ def _remap(self, inFileName, outFileName, remapper, comparisonGridName, remappedClimatology = self.customize_remapped_climatology( remappedClimatology, comparisonGridName, season) - write_netcdf(remappedClimatology, outFileName) + write_netcdf_with_fill(remappedClimatology, outFileName) diff --git a/mpas_analysis/shared/climatology/remap_observed_climatology_subtask.py b/mpas_analysis/shared/climatology/remap_observed_climatology_subtask.py index 0d74402a8..162d1f9e0 100644 --- a/mpas_analysis/shared/climatology/remap_observed_climatology_subtask.py +++ b/mpas_analysis/shared/climatology/remap_observed_climatology_subtask.py @@ -18,7 +18,7 @@ from mpas_analysis.shared.io.utility import build_config_full_path, \ make_directories -from mpas_analysis.shared.io import write_netcdf +from mpas_analysis.shared.io import write_netcdf_with_fill from mpas_analysis.shared.climatology.climatology import get_remapper, \ remap_and_write_climatology, compute_climatology @@ -126,7 +126,7 @@ def setup_and_check(self): obsFileName = self.get_file_name(stage='original') if not os.path.exists(obsFileName): ds = self.build_observational_dataset(self.fileName) - write_netcdf(ds, obsFileName) + write_netcdf_with_fill(ds, obsFileName) def run_task(self): """ @@ -171,7 +171,7 @@ def run_task(self): # climatology so assume this already is one seasonalClimatology = ds - write_netcdf(seasonalClimatology, climatologyFileName) + write_netcdf_with_fill(seasonalClimatology, climatologyFileName) remapper = self.remappers[comparisonGridName] diff --git a/mpas_analysis/shared/regions/compute_region_masks_subtask.py b/mpas_analysis/shared/regions/compute_region_masks_subtask.py index 42c0faa10..b72c1fb45 100644 --- a/mpas_analysis/shared/regions/compute_region_masks_subtask.py +++ b/mpas_analysis/shared/regions/compute_region_masks_subtask.py @@ -21,7 +21,7 @@ from mpas_analysis.shared.analysis_task import AnalysisTask from mpas_analysis.shared.io.utility import build_config_full_path, \ make_directories, get_region_mask -from mpas_analysis.shared.io import write_netcdf +from mpas_analysis.shared.io import write_netcdf_with_fill def get_feature_list(geojsonFileName): @@ -57,7 +57,7 @@ def compute_mpas_region_masks(geojsonFileName, meshFileName, maskFileName, fcMask = read_feature_collection(geojsonFileName) dsMasks = mpas_tools.conversion.mask(dsMesh=dsMesh, fcMask=fcMask, logger=logger, dir=dir) - write_netcdf(dsMasks, maskFileName) + write_netcdf_with_fill(dsMasks, maskFileName) else: args = ['compute_mpas_region_masks', diff --git a/mpas_analysis/shared/transects/compute_transect_masks_subtask.py b/mpas_analysis/shared/transects/compute_transect_masks_subtask.py index 262cadd28..44d75e7ec 100644 --- a/mpas_analysis/shared/transects/compute_transect_masks_subtask.py +++ b/mpas_analysis/shared/transects/compute_transect_masks_subtask.py @@ -21,7 +21,7 @@ from mpas_analysis.shared.io.utility import build_config_full_path, \ make_directories, get_region_mask -from mpas_analysis.shared.io import write_netcdf +from mpas_analysis.shared.io import write_netcdf_with_fill from mpas_analysis.shared.regions import get_feature_list @@ -47,7 +47,7 @@ def compute_mpas_transect_masks(geojsonFileName, meshFileName, maskFileName, dsMask = mpas_tools.conversion.mask(dsMesh=dsMesh, fcMask=fcMask, logger=logger, dir=dir) - write_netcdf(dsMask, maskFileName) + write_netcdf_with_fill(dsMask, maskFileName) else: args = ['compute_mpas_transect_masks', '-m', meshFileName, From 8703ac91dcadb2d7b31ebff17fb7347d27403d8c Mon Sep 17 00:00:00 2001 From: Xylar Asay-Davis Date: Sun, 9 Apr 2023 05:05:52 -0500 Subject: [PATCH 58/86] Add a test for the online MOC analysis member --- suite/moc_am.cfg | 12 ++++++++++++ suite/run_dev_suite.bash | 3 ++- suite/run_e3sm_unified_suite.bash | 3 ++- suite/run_suite.bash | 3 ++- suite/setup.py | 2 +- 5 files changed, 19 insertions(+), 4 deletions(-) create mode 100644 suite/moc_am.cfg diff --git a/suite/moc_am.cfg b/suite/moc_am.cfg new file mode 100644 index 000000000..843cc956b --- /dev/null +++ b/suite/moc_am.cfg @@ -0,0 +1,12 @@ +[streamfunctionMOC] +## options related to plotting the streamfunction of the meridional overturning +## circulation (MOC) + +# Use postprocessing script to compute the MOC? You want this to be True +# for low-resolution simulations that use GM to parameterize eddies, because +# the online MOC analysis member currently does not include the bolus velocity +# in its calculation, whereas the postprocessing script does. +# NOTE: this is a temporary option that will be removed once the online +# MOC takes into account the bolus velocity when GM is on. +usePostprocessingScript = False + diff --git a/suite/run_dev_suite.bash b/suite/run_dev_suite.bash index 5b5f63590..21f3d9340 100755 --- a/suite/run_dev_suite.bash +++ b/suite/run_dev_suite.bash @@ -24,6 +24,7 @@ machine=$(python -c "from mache import discover_machine; print(discover_machine( py=3.11 ./suite/setup.py -p ${py} -r main_py${py} -b ${branch} --copy_docs --clean -e ${env_name} ./suite/setup.py -p ${py} -r wc_defaults -b ${branch} --no_polar_regions -e ${env_name} +./suite/setup.py -p ${py} -r moc_am -b ${branch} -e ${env_name} ./suite/setup.py -p ${py} -r no_ncclimo -b ${branch} -e ${env_name} ./suite/setup.py -p ${py} -r ctrl -b ${branch} -e ${env_name} ./suite/setup.py -p ${py} -r main_vs_ctrl -b ${branch} -e ${env_name} @@ -45,7 +46,7 @@ echo main_vs_ctrl sbatch --dependency=afterok:${RES##* } --kill-on-invalid-dep=yes job_script.bash cd .. -for run in wc_defaults no_ncclimo no_polar_regions \ +for run in wc_defaults moc_am no_ncclimo no_polar_regions \ mesh_rename QU480 do cd ${run} diff --git a/suite/run_e3sm_unified_suite.bash b/suite/run_e3sm_unified_suite.bash index 77ae2c8f4..0eff2f1a5 100755 --- a/suite/run_e3sm_unified_suite.bash +++ b/suite/run_e3sm_unified_suite.bash @@ -11,6 +11,7 @@ machine=${E3SMU_MACHINE} ./suite/setup.py -p ${py} -r main_py${py} -b ${branch} --clean ./suite/setup.py -p ${py} -r wc_defaults -b ${branch} --no_polar_regions +./suite/setup.py -p ${py} -r moc_am -b ${branch} ./suite/setup.py -p ${py} -r no_ncclimo -b ${branch} ./suite/setup.py -p ${py} -r ctrl -b ${branch} ./suite/setup.py -p ${py} -r main_vs_ctrl -b ${branch} @@ -30,7 +31,7 @@ echo main_vs_ctrl sbatch --dependency=afterok:${RES##* } --kill-on-invalid-dep=yes job_script.bash cd .. -for run in wc_defaults no_ncclimo no_polar_regions mesh_rename +for run in wc_defaults moc_am no_ncclimo no_polar_regions mesh_rename do cd ${run} echo ${run} diff --git a/suite/run_suite.bash b/suite/run_suite.bash index b0eb31de3..37bc084bc 100755 --- a/suite/run_suite.bash +++ b/suite/run_suite.bash @@ -49,6 +49,7 @@ machine=$(python -c "from mache import discover_machine; print(discover_machine( ./suite/setup.py -p ${py} -r main_py${py} -b ${branch} --copy_docs --clean ./suite/setup.py -p ${py} -r wc_defaults -b ${branch} --no_polar_regions +./suite/setup.py -p ${py} -r moc_am -b ${branch} ./suite/setup.py -p ${py} -r no_ncclimo -b ${branch} ./suite/setup.py -p ${py} -r ctrl -b ${branch} ./suite/setup.py -p ${py} -r main_vs_ctrl -b ${branch} @@ -75,7 +76,7 @@ echo main_vs_ctrl sbatch --dependency=afterok:${RES##* } --kill-on-invalid-dep=yes job_script.bash cd .. -for run in main_py${alt_py} wc_defaults no_ncclimo no_polar_regions \ +for run in main_py${alt_py} wc_defaults moc_am no_ncclimo no_polar_regions \ mesh_rename xarray_main QU480 do cd ${run} diff --git a/suite/setup.py b/suite/setup.py index 72da37bfa..6f8149b94 100755 --- a/suite/setup.py +++ b/suite/setup.py @@ -148,7 +148,7 @@ def main(): with open(config, 'w') as config_file: config_file.write(config_text) - if args.run in ['main_vs_ctrl', 'no_ncclimo', 'wc_defaults']: + if args.run in ['main_vs_ctrl', 'moc_am', 'no_ncclimo', 'wc_defaults']: # add the run-specific config second config_from_job = ' '.join( [config_from_job, From 64116a466c3d2064a00ebf03c5a01a73e14f63f4 Mon Sep 17 00:00:00 2001 From: Xylar Asay-Davis Date: Sun, 9 Apr 2023 07:14:24 -0500 Subject: [PATCH 59/86] Parse CF when using xarray for MPAS climatologies This is important becuase otherwise the fill values don't get converted to NaNs and aren't preserved. --- mpas_analysis/shared/climatology/mpas_climatology_task.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/mpas_analysis/shared/climatology/mpas_climatology_task.py b/mpas_analysis/shared/climatology/mpas_climatology_task.py index 58b4b4a3f..2634e6769 100644 --- a/mpas_analysis/shared/climatology/mpas_climatology_task.py +++ b/mpas_analysis/shared/climatology/mpas_climatology_task.py @@ -689,7 +689,7 @@ def _preprocess(ds): combine='nested', concat_dim='Time', chunks={'nCells': chunkSize}, - decode_cf=False, decode_times=False, + decode_times=False, preprocess=_preprocess) as ds: ds.coords['year'] = ('Time', years) @@ -717,7 +717,7 @@ def _preprocess(ds): with xarray.open_mfdataset(fileNames, concat_dim='weight', combine='nested', chunks={'nCells': chunkSize}, - decode_cf=False, decode_times=False, + decode_times=False, preprocess=_preprocess) as ds: ds.coords['weight'] = ('weight', weights) dsNew = ((ds.weight * ds).sum(dim='weight') / From cf5c3ca0f543d1c4e12c7dbfdc379b76364b775d Mon Sep 17 00:00:00 2001 From: Xylar Asay-Davis Date: Sun, 9 Apr 2023 07:17:03 -0500 Subject: [PATCH 60/86] Remove debug output from MOC --- mpas_analysis/ocean/streamfunction_moc.py | 5 ----- 1 file changed, 5 deletions(-) diff --git a/mpas_analysis/ocean/streamfunction_moc.py b/mpas_analysis/ocean/streamfunction_moc.py index 3e5d9ada7..8d3e49ce1 100644 --- a/mpas_analysis/ocean/streamfunction_moc.py +++ b/mpas_analysis/ocean/streamfunction_moc.py @@ -582,8 +582,6 @@ def _compute_moc_climo_postprocess(self): layerThickness, cellsOnEdge) - print(transportZ) - regionCellMask = dictRegion[region]['cellMask'] latBinSize = \ config.getfloat('streamfunctionMOC{}'.format(region), @@ -598,7 +596,6 @@ def _compute_moc_climo_postprocess(self): latBinSize) mocTop = _compute_moc(latBins, nVertLevels, latCell, regionCellMask, transportZ, velArea) - print(mocTop) # Store computed MOC to dictionary lat[region] = latBins @@ -1659,12 +1656,10 @@ def _compute_transport(maxEdgesInTransect, transectEdgeGlobalIDs, coe1 = cellsOnEdge[iEdge, 1] layerThicknessEdge = 0.5*(layerThickness[coe0, :] + layerThickness[coe1, :]) - print(i, layerThicknessEdge) transportZEdge[:, i] = horizontalVel[iEdge, :] * \ transectEdgeMaskSigns[iEdge, np.newaxis] * \ dvEdge[iEdge, np.newaxis] * \ layerThicknessEdge[np.newaxis, :] - print(transportZEdge[:, i]) transportZ = np.nansum(transportZEdge, axis=1) return transportZ From 37e26971462633bab929fb8bb18e4550d6622d65 Mon Sep 17 00:00:00 2001 From: Xylar Asay-Davis Date: Sun, 9 Apr 2023 07:47:43 -0500 Subject: [PATCH 61/86] Handle main vs. ctrl for all 3 types of suites --- suite/main_vs_ctrl.cfg | 2 +- suite/run_dev_suite.bash | 1 + suite/run_e3sm_unified_suite.bash | 1 + suite/run_suite.bash | 1 + suite/setup.py | 4 ++-- 5 files changed, 6 insertions(+), 3 deletions(-) diff --git a/suite/main_vs_ctrl.cfg b/suite/main_vs_ctrl.cfg index 5ab54ef96..2a3d28913 100644 --- a/suite/main_vs_ctrl.cfg +++ b/suite/main_vs_ctrl.cfg @@ -12,5 +12,5 @@ controlRunConfigFile = ../ctrl.cfg # remapped to the comparison grid and time series have been extracted. # Leave this option commented out if the analysis for the main run should be # performed. -mainRunConfigFile = ../main_py3.10.cfg +mainRunConfigFile = ../main.cfg diff --git a/suite/run_dev_suite.bash b/suite/run_dev_suite.bash index 21f3d9340..4ccf8ec2d 100755 --- a/suite/run_dev_suite.bash +++ b/suite/run_dev_suite.bash @@ -26,6 +26,7 @@ py=3.11 ./suite/setup.py -p ${py} -r wc_defaults -b ${branch} --no_polar_regions -e ${env_name} ./suite/setup.py -p ${py} -r moc_am -b ${branch} -e ${env_name} ./suite/setup.py -p ${py} -r no_ncclimo -b ${branch} -e ${env_name} +./suite/setup.py -p ${py} -r main -b ${branch} -e ${env_name} ./suite/setup.py -p ${py} -r ctrl -b ${branch} -e ${env_name} ./suite/setup.py -p ${py} -r main_vs_ctrl -b ${branch} -e ${env_name} ./suite/setup.py -p ${py} -r no_polar_regions -b ${branch} --no_polar_regions -e ${env_name} diff --git a/suite/run_e3sm_unified_suite.bash b/suite/run_e3sm_unified_suite.bash index 0eff2f1a5..678a88b50 100755 --- a/suite/run_e3sm_unified_suite.bash +++ b/suite/run_e3sm_unified_suite.bash @@ -13,6 +13,7 @@ machine=${E3SMU_MACHINE} ./suite/setup.py -p ${py} -r wc_defaults -b ${branch} --no_polar_regions ./suite/setup.py -p ${py} -r moc_am -b ${branch} ./suite/setup.py -p ${py} -r no_ncclimo -b ${branch} +./suite/setup.py -p ${py} -r main -b ${branch} ./suite/setup.py -p ${py} -r ctrl -b ${branch} ./suite/setup.py -p ${py} -r main_vs_ctrl -b ${branch} ./suite/setup.py -p ${py} -r no_polar_regions -b ${branch} --no_polar_regions diff --git a/suite/run_suite.bash b/suite/run_suite.bash index 37bc084bc..834f78e46 100755 --- a/suite/run_suite.bash +++ b/suite/run_suite.bash @@ -60,6 +60,7 @@ conda deactivate py=${alt_py} conda activate test_mpas_analysis_py${py} +./suite/setup.py -p ${py} -r main -b ${branch} ./suite/setup.py -p ${py} -r main_py${py} -b ${branch} conda deactivate diff --git a/suite/setup.py b/suite/setup.py index 6f8149b94..a847c159e 100755 --- a/suite/setup.py +++ b/suite/setup.py @@ -131,7 +131,7 @@ def main(): config = os.path.join(suite_path, f'{args.run}.cfg') config_from_job = os.path.join('..', f'{args.run}.cfg') - if args.run == 'ctrl': + if args.run in ['main', 'ctrl']: out_subdir = os.path.join(machine, args.branch, f'main_py{args.python}') else: out_subdir = os.path.join(machine, args.branch, args.run) @@ -154,7 +154,7 @@ def main(): [config_from_job, os.path.join('..', '..', 'suite', f'{args.run}.cfg')]) - if args.run != 'ctrl': + if args.run not in ['main', 'ctrl']: try: os.makedirs(os.path.join(suite_path, args.run)) except FileExistsError: From 69f8c388a313d5ff671dfe54e95f4e9c89961b35 Mon Sep 17 00:00:00 2001 From: Xylar Asay-Davis Date: Sun, 9 Apr 2023 02:41:09 -0500 Subject: [PATCH 62/86] Support for zmin/zmax from by region mask creator --- mpas_analysis/ocean/regional_ts_diagrams.py | 4 ---- mpas_analysis/ocean/time_series_ocean_regions.py | 12 ++++++------ 2 files changed, 6 insertions(+), 10 deletions(-) diff --git a/mpas_analysis/ocean/regional_ts_diagrams.py b/mpas_analysis/ocean/regional_ts_diagrams.py index 67cf6da93..e7bab4449 100644 --- a/mpas_analysis/ocean/regional_ts_diagrams.py +++ b/mpas_analysis/ocean/regional_ts_diagrams.py @@ -632,8 +632,6 @@ def _write_mpas_t_s(self, config): if 'zminRegions' in dsMask: zmin = dsMask.zminRegions.values else: - # the old naming convention, used in some pre-generated - # mask files zmin = dsMask.zmin.values if config.has_option(sectionName, 'zmax'): @@ -642,8 +640,6 @@ def _write_mpas_t_s(self, config): if 'zmaxRegions' in dsMask: zmax = dsMask.zmaxRegions.values else: - # the old naming convention, used in some pre-generated - # mask files zmax = dsMask.zmax.values inFileName = get_unmasked_mpas_climatology_file_name( diff --git a/mpas_analysis/ocean/time_series_ocean_regions.py b/mpas_analysis/ocean/time_series_ocean_regions.py index d89c0daeb..be42e460f 100644 --- a/mpas_analysis/ocean/time_series_ocean_regions.py +++ b/mpas_analysis/ocean/time_series_ocean_regions.py @@ -354,8 +354,6 @@ def run_task(self): if 'zminRegions' in dsRegion: zmin = dsRegion.zminRegions.values else: - # the old naming convention, used in some pre-generated - # mask files zmin = dsRegion.zmin.values else: zmin = config_zmin @@ -364,8 +362,6 @@ def run_task(self): if 'zmaxRegions' in dsRegion: zmax = dsRegion.zmaxRegions.values else: - # the old naming convention, used in some pre-generated - # mask files zmax = dsRegion.zmax.values else: zmax = config_zmax @@ -901,13 +897,17 @@ def run_task(self): if config.has_option(sectionName, 'zmin'): zmin = config.getfloat(sectionName, 'zmin') - else: + elif 'zminRegions' in dsMask: zmin = dsMask.zminRegions.values + else: + zmin = dsMask.zmin.values if config.has_option(sectionName, 'zmax'): zmax = config.getfloat(sectionName, 'zmax') - else: + elif 'zmaxRegions' in dsMask: zmax = dsMask.zmaxRegions.values + else: + zmax = dsMask.zmax.values TVarName = obsDict['TVar'] SVarName = obsDict['SVar'] From c04871316d72237ef0409dd89a86c4a89526a68e Mon Sep 17 00:00:00 2001 From: Xylar Asay-Davis Date: Mon, 10 Apr 2023 04:11:06 -0500 Subject: [PATCH 63/86] Update geometric_features version --- ci/recipe/meta.yaml | 2 +- dev-spec.txt | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/ci/recipe/meta.yaml b/ci/recipe/meta.yaml index ba66b62a5..bcf4a22dd 100644 --- a/ci/recipe/meta.yaml +++ b/ci/recipe/meta.yaml @@ -30,7 +30,7 @@ requirements: - esmf >=8.0.0,<8.3.0 - esmf=*=nompi_* - f90nml - - geometric_features >=1.0.0 + - geometric_features >=1.2.0 - gsw - lxml - mache >=1.11.0 diff --git a/dev-spec.txt b/dev-spec.txt index 870847aa0..18cb6956a 100644 --- a/dev-spec.txt +++ b/dev-spec.txt @@ -11,7 +11,7 @@ dask esmf >=8.0.0,<8.3.0 esmf=*=nompi_* f90nml -geometric_features>=1.0.0 +geometric_features>=1.2.0 gsw lxml mache >=1.11.0 From 6b9b89c0c29c73ef9c792eb18d7ffa0a109fd341 Mon Sep 17 00:00:00 2001 From: Xylar Asay-Davis Date: Mon, 1 May 2023 13:22:05 +0200 Subject: [PATCH 64/86] Fix readme --- README.md | 12 ++++++------ mpas_analysis/docs/parse_quick_start.py | 4 ++-- 2 files changed, 8 insertions(+), 8 deletions(-) diff --git a/README.md b/README.md index e4bec4701..90dd17edf 100644 --- a/README.md +++ b/README.md @@ -5,7 +5,7 @@ Analysis for simulations produced with Model for Prediction Across Scales (MPAS) components and the Energy Exascale Earth System Model (E3SM), which used those components. -![sea surface temperature](docs/_static/sst_example.png) +![sea surface temperature](docs/users_guide/_static/sst_example.png) ## conda-forge @@ -127,7 +127,7 @@ for more details. 3. If you installed the `mpas-analysis` package, run: `mpas_analysis myrun.cfg`. This will read the configuration first from `mpas_analysis/default.cfg` and then replace that - configuraiton with any changes from from `myrun.cfg` + configuration with any changes from from `myrun.cfg` 4. If you want to run a subset of the analysis, you can either set the `generate` option under `[output]` in your config file or use the `--generate` flag on the command line. See the comments in @@ -178,7 +178,7 @@ Note: for older runs, mpas-seaice files will be named: * `mpascice.rst.0002-01-01_00000.nc` * `streams.cice` * `mpas-cice_in` - Also, for older runs mpaso-in will be named: + Also, for older runs `mpaso_in` will be named: * `mpas-o_in` @@ -221,13 +221,13 @@ If you are running from a git repo: 2. If using the `mpas-analysis` conda package, download the job script and/or sample config file from the [example configs directory](https://github.com/MPAS-Dev/MPAS-Analysis/tree/develop/configs). - 2. Modify the number of parallel tasks, the run name, the output directory + 3. Modify the number of parallel tasks, the run name, the output directory and the path to the config file for the run. - 3. Note: the number of parallel tasks can be anything between 1 and the + 4. Note: the number of parallel tasks can be anything between 1 and the number of analysis tasks to be performed. If there are more tasks than parallel tasks, later tasks will simply wait until earlier tasks have finished. - 4. Submit the job using the modified job script + 5. Submit the job using the modified job script diff --git a/mpas_analysis/docs/parse_quick_start.py b/mpas_analysis/docs/parse_quick_start.py index d388d3866..3134d0358 100644 --- a/mpas_analysis/docs/parse_quick_start.py +++ b/mpas_analysis/docs/parse_quick_start.py @@ -12,8 +12,8 @@ def build_quick_start(): replace = {'# MPAS-Analysis': '# Quick Start Guide\n', '[![Build Status]': '', '[![Documentation Status]': '', - '![sea surface temperature](docs/_static/sst_example.png)': - '![sea surface temperature](_static/sst_example.png)\n'} + '![sea surface temperature](docs/users_guide/_static/sst_example.png)': + '![sea surface temperature](users_guide/_static/sst_example.png)\n'} skip = [('## conda-forge', '## Installation')] outContent = '' From 19abef203eb65b3a85d42478be1ca7cf073cb2ce Mon Sep 17 00:00:00 2001 From: Xylar Asay-Davis Date: Mon, 1 May 2023 14:40:25 +0200 Subject: [PATCH 65/86] Add Adusumilli to obs. database --- mpas_analysis/obs/observational_datasets.xml | 110 +++++++++++++++---- 1 file changed, 87 insertions(+), 23 deletions(-) diff --git a/mpas_analysis/obs/observational_datasets.xml b/mpas_analysis/obs/observational_datasets.xml index 481958b6c..24b9e4743 100755 --- a/mpas_analysis/obs/observational_datasets.xml +++ b/mpas_analysis/obs/observational_datasets.xml @@ -572,6 +572,70 @@ + + + Antarctic melt rates and fluxes + + + ocean + + + Melt rates and melt fluxes from Adusumilli et al. (2020) + + + [Data from: Interannual variations in meltwater input to the Southern Ocean from Antarctic ice shelves](https://doi.org/10.6075/J04Q7SHT) + + + Under copyright (US) + + Use: This work is available from the UC San Diego Library. This digital + copy of the work is intended to support research, teaching, and private + study. + + Constraint(s) on Use: This work is protected by the U.S. Copyright Law + (Title 17, U.S.C.). Use of this work beyond that allowed by "fair use" + or any license applied to this work requires written permission of the + copyright holder(s). Responsibility for obtaining permissions and any + use and distribution of this work rests exclusively with the user and + not the UC San Diego Library. Inquiries can be made to the UC San Diego + Library program having custody of the work. + + + [Adusumilli et al. (2020)](https://doi.org/10.1038/s41561-020-0616-z) + + + @article{Adusumilli2020, + title = {Interannual variations in meltwater input to the {Southern} {Ocean} from {Antarctic} ice shelves}, + copyright = {2020 The Author(s), under exclusive licence to Springer Nature Limited}, + issn = {1752-0908}, + url = {https://www.nature.com/articles/s41561-020-0616-z}, + doi = {10.1038/s41561-020-0616-z}, + journal = {Nature Geoscience}, + author = {Adusumilli, Susheel and Fricker, Helen Amanda and Medley,Brooke and Padman, Laurie and Siegfried, Matthew R.}, + month = aug, + year = {2020}, + note = {Publisher: Nature Publishing Group}, + pages = {1--5} + } + + + - http://library.ucsd.edu/dc/object/bb0448974g/_3_1.h5 + + + preprocess_observations/preprocess_adusumilli_melt.py + + + - climatologyMapAntarcticMelt + - timeSeriesAntarcticMelt + + + Ocean/Melt/Adusumilli + + + adusumilli_melt + + + HadISST Nino 3.4 Index @@ -1215,41 +1279,41 @@ ERA5 is the fifth generation ECMWF reanalysis for the global climate and weather for the past 4 to 7 decades. Currently data is available from 1950, with Climate Data Store entries for 1950-1978 (preliminary back extension) and from 1959 onwards (final release plus timely updates, this page). ERA5 replaces the ERA-Interim reanalysis. - - Reanalysis combines model data with observations from across the world into a globally complete and - consistent dataset using the laws of physics. This principle, called data assimilation, is based on + + Reanalysis combines model data with observations from across the world into a globally complete and + consistent dataset using the laws of physics. This principle, called data assimilation, is based on the method used by numerical weather prediction centres, where every so many hours (12 hours at ECMWF) - a previous forecast is combined with newly available observations in an optimal way to produce a new + a previous forecast is combined with newly available observations in an optimal way to produce a new best estimate of the state of the atmosphere, called analysis, from which an updated, improved forecast is issued. - Reanalysis works in the same way, but at reduced resolution to allow for the provision of a dataset + Reanalysis works in the same way, but at reduced resolution to allow for the provision of a dataset spanning back several decades. Reanalysis does not have the constraint of issuing timely forecasts, - so there is more time to collect observations, and when going further back in time, to allow for the + so there is more time to collect observations, and when going further back in time, to allow for the ingestion of improved versions of the original observations, which all benefit the quality of the reanalysis product. - + ERA5 provides hourly estimates for a large number of atmospheric, ocean-wave and land-surface quantities. An uncertainty estimate is sampled by an underlying 10-member ensemble at three-hourly intervals. Ensemble mean and spread have been pre-computed for convenience. - Such uncertainty estimates are closely related to the information content of the available + Such uncertainty estimates are closely related to the information content of the available observing system which has evolved considerably over time. They also indicate flow-dependent sensitive areas. To facilitate many climate applications, monthly-mean averages have been pre-calculated too, though monthly means are not available for the ensemble mean and spread. - + ERA5 is updated daily with a latency of about 5 days (monthly means are available around the 6th of each month). In case that serious flaws are detected in this early release (called ERA5T), this data could be different from the final release 2 to 3 months later. In case that this occurs users are notified. - + The data set presented here is a regridded subset of the full ERA5 data set on native resolution. It is online on spinning disk, which should ensure fast and easy access. It should satisfy the requirements for most common applications. - + An overview of all ERA5 datasets can be found in this [article](https://confluence.ecmwf.int/display/CKB/The+family+of+ERA5+datasets). Information on access to ERA5 data on native resolution is provided in these [guidelines](https://confluence.ecmwf.int/display/CKB/How+to+download+ERA5). - - Data has been regridded to a regular lat-lon grid of 0.25 degrees for the reanalysis and + + Data has been regridded to a regular lat-lon grid of 0.25 degrees for the reanalysis and 0.5 degrees for the uncertainty estimate (0.5 and 1 degree respectively for ocean waves). There are four main sub sets: hourly and monthly products, both on pressure levels (upper air fields) and single levels (atmospheric, ocean-wave and land surface quantities). - + The present entry is "ERA5 monthly mean data on single levels from 1959 to present". @@ -1280,7 +1344,7 @@ } - - https://cds.climate.copernicus.eu/cdsapp#!/dataset/reanalysis-era5-single-levels-monthly-means?tab=form + - https://cds.climate.copernicus.eu/cdsapp#!/dataset/reanalysis-era5-single-levels-monthly-means?tab=form @@ -1303,21 +1367,21 @@ ocean - The ESA Sea State Climate Change Initiative (CCI) project has produced global merged multi-sensor + The ESA Sea State Climate Change Initiative (CCI) project has produced global merged multi-sensor time-series of monthly gridded satellite altimeter significant wave height (referred to as Level 4 (L4) data) with a particular focus for use in climate studies. - + This dataset contains the Version 1.1 Remote Sensing Sea Surface Height product, gridded over a global - regular cylindrical projection (1°x1° resolution), averaging valid and good measurements from all + regular cylindrical projection (1°x1° resolution), averaging valid and good measurements from all available altimeters on a monthly basis (using the L2P products also available). These L4 products are meant for statistics and visualization. - + This first version of the Sea State CCI products is inherited from the GlobWave project, - building on experience and existing outputs. It extends and improves the GlobWave products, + building on experience and existing outputs. It extends and improves the GlobWave products, which were a post-processing over existing L2 altimeter agency products with additional filtering, - corrections and variables. A major improvement consists in a new denoised sea surface height + corrections and variables. A major improvement consists in a new denoised sea surface height variable using Empirical Mode Decomposition, which was used as input to these monthly statistical fields. - + The altimeter data used in the Sea State CCI dataset v1.1 come from multiple satellite missions spanning from 1991 to 2018 (ERS-1, ERS-2, Topex, Envisat, GFO, CryoSat-2, Jason-1, Jason-2, Jason-3, SARAL). Many altimeters are bi-frequency (Ku-C or Ku-S) and only measurements in Ku band were used, @@ -1350,7 +1414,7 @@ } - - https://data.ceda.ac.uk/neodc/esacci/sea_state/data/v1.1_release/l4/v1.1 + - https://data.ceda.ac.uk/neodc/esacci/sea_state/data/v1.1_release/l4/v1.1 From 60d242ed2bf6ce41940f62ecc8ffc848a15e8ee7 Mon Sep 17 00:00:00 2001 From: Xylar Asay-Davis Date: Mon, 1 May 2023 13:55:24 +0200 Subject: [PATCH 66/86] Add a preprocessing script for Adusumilli --- .../preprocess_adusumilli_melt.py | 218 ++++++++++++++++++ 1 file changed, 218 insertions(+) create mode 100755 preprocess_observations/preprocess_adusumilli_melt.py diff --git a/preprocess_observations/preprocess_adusumilli_melt.py b/preprocess_observations/preprocess_adusumilli_melt.py new file mode 100755 index 000000000..6406fc63b --- /dev/null +++ b/preprocess_observations/preprocess_adusumilli_melt.py @@ -0,0 +1,218 @@ +#!/usr/bin/env python +import os +import shutil +import subprocess + +import h5py +import numpy as np +import pyproj +import xarray as xr +from geometric_features import GeometricFeatures +from geometric_features.aggregation import get_aggregator_by_name +from mpas_tools.cime.constants import constants as cime_constants + +from mpas_analysis.shared.io.download import download_files +from mpas_analysis.shared.constants import constants as mpas_constants + + +def download_adusumilli(out_filename): + """ + Remap the Adusumilli et al. (2020) melt rates at 1 km resolution to an MPAS + mesh + + Parameters + ---------- + out_filename : str + The original Adusumilli et al. (2020) melt rates + """ + + if os.path.exists(out_filename): + return + + download_files(fileList=['_3_1.h5'], + urlBase='http://library.ucsd.edu/dc/object/bb0448974g/', + outDir='.') + shutil.move('_3_1.h5', out_filename) + + +def adusumilli_hdf5_to_netcdf(in_filename, out_filename): + """ + Remap the Adusumilli et al. (2020) melt rates at 1 km resolution to an MPAS + mesh + + Parameters + ---------- + in_filename : str + The original Adusumilli et al. (2020) melt rates + + out_filename : str + The Adusumilli et al. (2020) melt rates in NetCDF format + """ + if os.path.exists(out_filename): + return + + print(f'Reading {in_filename}...') + h5_data = h5py.File(in_filename, 'r') + + x = np.array(h5_data['/x'])[:, 0] + y = np.array(h5_data['/y'])[:, 0] + melt_rate = np.array(h5_data['/w_b']) + melt_rate_uncertainty = np.array(h5_data['/w_b_uncert']) + print('done.') + + print('Creating an xarray dataset...') + ds = xr.Dataset() + + projection = pyproj.Proj('+proj=stere +lat_ts=-71.0 +lat_0=-90 +lon_0=0.0 ' + '+k_0=1.0 +x_0=0.0 +y_0=0.0 +ellps=WGS84') + latlon_projection = pyproj.Proj(proj='latlong', datum='WGS84') + + print('Computing lat/lon...') + x_2d, y_2d = np.meshgrid(x, y) + transformer = pyproj.Transformer.from_proj(projection, + latlon_projection) + lon, lat = transformer.transform(x_2d, y_2d) + print('done.') + + # Adusumilli et al. (2020) ice density (caption of Fig. 1 and Methods + # section) + rho_ice = 917. + rho_fw = cime_constants['SHR_CONST_RHOFW'] + ice_to_fw_equiv = rho_ice / rho_fw + + ds['x'] = (('x',), x) + ds['y'] = (('y',), y) + ds['lon'] = (('y', 'x'), lon) + ds.lon.attrs['units'] = 'degrees' + ds['lat'] = (('y', 'x'), lat) + ds.lat.attrs['units'] = 'degrees' + ds['meltRate'] = (('y', 'x'), ice_to_fw_equiv * melt_rate) + ds.meltRate.attrs['units'] = 'm/yr of freshwater' + ds['meltRateUncertainty'] = (('y', 'x'), + ice_to_fw_equiv * melt_rate_uncertainty) + ds.meltRateUncertainty.attrs['units'] = 'm/yr of freshwater' + print('Writing the dataset...') + ds.to_netcdf(out_filename) + print('done.') + + +def compute_regional_means(in_filename, out_prefix, chunk_size=1000, + core_count=128, multiprocessing_method='spawn'): + """ + Remap the Adusumilli et al. (2020) melt rates at 1 km resolution to an MPAS + mesh + + Parameters + ---------- + in_filename : str + The Adusumilli et al. (2020) melt rates in NetCDF format + + out_prefix : str + A prefix for the file to contain the Adusumilli et al. (2020) mean melt + rates and melt fluxes aggregated over ice-shelf regions + + chunk_size : int, optional + The number of grid points that are processed in one operation when + creating region masks + + core_count : int, optional + The number of processes to use to compute masks. + + multiprocessing_method : str, optional + The multiprocessing method use for python mask creation ('fork', + 'spawn' or 'forkserver') + """ + mask_filename = 'ice_shelf_masks.nc' + region_group = 'Ice Shelves' + aggregation_function, prefix, date = \ + get_aggregator_by_name(region_group) + out_filename = f'{out_prefix}_{prefix}{date}.nc' + if not os.path.exists(mask_filename): + geojson_filename = f'{prefix}{date}.geojson' + gf = GeometricFeatures() + fc = aggregation_function(gf) + fc.to_geojson(geojson_filename) + + args = ['compute_projection_region_masks', + '-i', in_filename, + '--lon', 'lon', + '--lat', 'lat', + '-g', geojson_filename, + '-o', mask_filename, + '--chunk_size', f'{chunk_size}', + '--process_count', f'{core_count}', + '--multiprocessing_method', f'{multiprocessing_method}', + '--show_progress'] + subprocess.run(args=args, check=True) + + ds = xr.open_dataset(in_filename) + cell_area = ((ds.x.values[1] - ds.x.values[0]) * + (ds.y.values[1] - ds.y.values[0])) + + rho_fw = cime_constants['SHR_CONST_RHOFW'] + kg_per_gt = mpas_constants.kg_per_GT + gt_per_m3 = rho_fw / kg_per_gt + + ds_out = xr.Dataset() + ds_mask = xr.open_dataset(mask_filename) + ds_out['regionNames'] = ds_mask.regionNames + mean_melt_rate = [] + total_melt_flux = [] + area_melt = [] + melt_rate_uncert = [] + melt_flux_uncert = [] + area_uncert = [] + for region_index, region_name in enumerate(ds_mask.regionNames.values): + region_mask = ds_mask.regionMasks.isel(nRegions=region_index) == 1 + + melt_mean, melt_area = _compute_mean_and_area( + ds.meltRate.values, region_mask, cell_area) + melt_total = gt_per_m3 * melt_area * melt_mean + mean_melt_rate.append(melt_mean) + area_melt.append(melt_area) + total_melt_flux.append(melt_total) + uncert_sqr = ds.meltRateUncertainty.values**2 + uncert_mean_sqr, uncert_area = _compute_mean_and_area( + uncert_sqr, region_mask, cell_area) + uncert_rms = np.sqrt(uncert_mean_sqr) + area_uncert.append(uncert_area) + uncert_total = gt_per_m3 * uncert_area * uncert_rms + melt_rate_uncert.append(uncert_rms) + melt_flux_uncert.append(uncert_total) + + ds_out['meanMeltRate'] = (('nRegions',), mean_melt_rate) + ds_out.meanMeltRate.attrs['units'] = 'm/yr of freshwater' + ds_out['meltRateUncertainty'] = (('nRegions',), melt_rate_uncert) + ds_out.meltRateUncertainty.attrs['units'] = 'm/yr of freshwater' + ds_out['totalMeltFlux'] = (('nRegions',), total_melt_flux) + ds_out.totalMeltFlux.attrs['units'] = 'GT/yr' + ds_out['meltFluxUncertainty'] = (('nRegions',), melt_flux_uncert) + ds_out.meltFluxUncertainty.attrs['units'] = 'GT/yr' + ds_out['meltArea'] = (('nRegions',), area_melt) + ds_out.meltArea.attrs['units'] = 'm^2' + ds_out['uncertaintyArea'] = (('nRegions',), area_uncert) + ds_out.uncertaintyArea.attrs['units'] = 'm^2' + ds_out.to_netcdf(out_filename) + + +def _compute_mean_and_area(field, region_mask, cell_area): + valid_melt = np.isfinite(field) + mask = np.logical_and(region_mask, valid_melt) + valid_count = np.count_nonzero(mask) + area = cell_area * valid_count + field_mean = np.sum(field[mask] * cell_area) / area + return field_mean, area + + +def main(): + prefix = 'Adusumilli_2020_iceshelf_melt_rates_2010-2018_v0' + hdf5_filename = f'{prefix}.h5' + netcdf_filename = f'{prefix}.nc' + + download_adusumilli(hdf5_filename) + adusumilli_hdf5_to_netcdf(hdf5_filename, netcdf_filename) + compute_regional_means(netcdf_filename, prefix) + + +if __name__ == '__main__': + main() From 1e91c48ef2df288191ddbdc937c09af90b4ad9a6 Mon Sep 17 00:00:00 2001 From: Xylar Asay-Davis Date: Tue, 2 May 2023 23:38:56 +0200 Subject: [PATCH 67/86] Break mask creation into one call per region --- .../preprocess_adusumilli_melt.py | 86 ++++++++++++------- 1 file changed, 53 insertions(+), 33 deletions(-) diff --git a/preprocess_observations/preprocess_adusumilli_melt.py b/preprocess_observations/preprocess_adusumilli_melt.py index 6406fc63b..1c28fe6dc 100755 --- a/preprocess_observations/preprocess_adusumilli_melt.py +++ b/preprocess_observations/preprocess_adusumilli_melt.py @@ -7,7 +7,7 @@ import numpy as np import pyproj import xarray as xr -from geometric_features import GeometricFeatures +from geometric_features import FeatureCollection, GeometricFeatures from geometric_features.aggregation import get_aggregator_by_name from mpas_tools.cime.constants import constants as cime_constants @@ -96,7 +96,7 @@ def adusumilli_hdf5_to_netcdf(in_filename, out_filename): print('done.') -def compute_regional_means(in_filename, out_prefix, chunk_size=1000, +def compute_regional_means(in_filename, out_prefix, chunk_size=50000, core_count=128, multiprocessing_method='spawn'): """ Remap the Adusumilli et al. (2020) melt rates at 1 km resolution to an MPAS @@ -122,28 +122,12 @@ def compute_regional_means(in_filename, out_prefix, chunk_size=1000, The multiprocessing method use for python mask creation ('fork', 'spawn' or 'forkserver') """ - mask_filename = 'ice_shelf_masks.nc' region_group = 'Ice Shelves' aggregation_function, prefix, date = \ get_aggregator_by_name(region_group) out_filename = f'{out_prefix}_{prefix}{date}.nc' - if not os.path.exists(mask_filename): - geojson_filename = f'{prefix}{date}.geojson' - gf = GeometricFeatures() - fc = aggregation_function(gf) - fc.to_geojson(geojson_filename) - - args = ['compute_projection_region_masks', - '-i', in_filename, - '--lon', 'lon', - '--lat', 'lat', - '-g', geojson_filename, - '-o', mask_filename, - '--chunk_size', f'{chunk_size}', - '--process_count', f'{core_count}', - '--multiprocessing_method', f'{multiprocessing_method}', - '--show_progress'] - subprocess.run(args=args, check=True) + mask_files = _compute_masks(in_filename, aggregation_function, chunk_size, + core_count, multiprocessing_method) ds = xr.open_dataset(in_filename) cell_area = ((ds.x.values[1] - ds.x.values[0]) * @@ -154,16 +138,16 @@ def compute_regional_means(in_filename, out_prefix, chunk_size=1000, gt_per_m3 = rho_fw / kg_per_gt ds_out = xr.Dataset() - ds_mask = xr.open_dataset(mask_filename) - ds_out['regionNames'] = ds_mask.regionNames mean_melt_rate = [] total_melt_flux = [] area_melt = [] melt_rate_uncert = [] melt_flux_uncert = [] area_uncert = [] - for region_index, region_name in enumerate(ds_mask.regionNames.values): - region_mask = ds_mask.regionMasks.isel(nRegions=region_index) == 1 + for region_index, region_name in enumerate(mask_files.keys()): + mask_filename = mask_files[region_name] + ds_mask = xr.open_dataset(mask_filename) + region_mask = ds_mask.regionMasks.isel(nRegions=0) == 1 melt_mean, melt_area = _compute_mean_and_area( ds.meltRate.values, region_mask, cell_area) @@ -180,6 +164,8 @@ def compute_regional_means(in_filename, out_prefix, chunk_size=1000, melt_rate_uncert.append(uncert_rms) melt_flux_uncert.append(uncert_total) + ds_out['regionNames'] = ('nRegions', list(mask_files.keys())) + ds_out['meanMeltRate'] = (('nRegions',), mean_melt_rate) ds_out.meanMeltRate.attrs['units'] = 'm/yr of freshwater' ds_out['meltRateUncertainty'] = (('nRegions',), melt_rate_uncert) @@ -195,15 +181,6 @@ def compute_regional_means(in_filename, out_prefix, chunk_size=1000, ds_out.to_netcdf(out_filename) -def _compute_mean_and_area(field, region_mask, cell_area): - valid_melt = np.isfinite(field) - mask = np.logical_and(region_mask, valid_melt) - valid_count = np.count_nonzero(mask) - area = cell_area * valid_count - field_mean = np.sum(field[mask] * cell_area) / area - return field_mean, area - - def main(): prefix = 'Adusumilli_2020_iceshelf_melt_rates_2010-2018_v0' hdf5_filename = f'{prefix}.h5' @@ -214,5 +191,48 @@ def main(): compute_regional_means(netcdf_filename, prefix) +def _compute_masks(mesh_filename, aggregation_function, chunk_size, core_count, + multiprocessing_method): + gf = GeometricFeatures() + fc = aggregation_function(gf) + try: + os.makedirs('ice_shelf_masks') + except FileExistsError: + pass + files = {} + for feature in fc.features: + region_name = feature['properties']['name'] + region_prefix = region_name.replace(' ', '_') + region_mask_filename = f'ice_shelf_masks/{region_prefix}.nc' + files[region_name] = region_mask_filename + if os.path.exists(region_mask_filename): + continue + fc_region = FeatureCollection(features=[feature]) + geojson_filename = f'ice_shelf_masks/{region_prefix}.geojson' + fc_region.to_geojson(geojson_filename) + + args = ['compute_projection_region_masks', + '-i', mesh_filename, + '--lon', 'lon', + '--lat', 'lat', + '-g', geojson_filename, + '-o', region_mask_filename, + '--chunk_size', f'{chunk_size}', + '--process_count', f'{core_count}', + '--multiprocessing_method', f'{multiprocessing_method}', + '--show_progress'] + subprocess.run(args=args, check=True) + return files + + +def _compute_mean_and_area(field, region_mask, cell_area): + valid_melt = np.isfinite(field) + mask = np.logical_and(region_mask, valid_melt) + valid_count = np.count_nonzero(mask) + area = cell_area * valid_count + field_mean = np.sum(field[mask] * cell_area) / area + return field_mean, area + + if __name__ == '__main__': main() From 295d93b5d4eb4cf799e666aaa2ec3b1ef92834a8 Mon Sep 17 00:00:00 2001 From: Xylar Asay-Davis Date: Wed, 3 May 2023 14:33:42 +0200 Subject: [PATCH 68/86] Add remapping to comparison grid --- .../preprocess_adusumilli_melt.py | 104 ++++++++++++++++-- 1 file changed, 97 insertions(+), 7 deletions(-) diff --git a/preprocess_observations/preprocess_adusumilli_melt.py b/preprocess_observations/preprocess_adusumilli_melt.py index 1c28fe6dc..a0bb7db05 100755 --- a/preprocess_observations/preprocess_adusumilli_melt.py +++ b/preprocess_observations/preprocess_adusumilli_melt.py @@ -10,6 +10,8 @@ from geometric_features import FeatureCollection, GeometricFeatures from geometric_features.aggregation import get_aggregator_by_name from mpas_tools.cime.constants import constants as cime_constants +from pyremap import Remapper, ProjectionGridDescriptor +from pyremap.polar import get_antarctic_stereographic_projection from mpas_analysis.shared.io.download import download_files from mpas_analysis.shared.constants import constants as mpas_constants @@ -37,8 +39,7 @@ def download_adusumilli(out_filename): def adusumilli_hdf5_to_netcdf(in_filename, out_filename): """ - Remap the Adusumilli et al. (2020) melt rates at 1 km resolution to an MPAS - mesh + Convert Adusumilli et al. (2020) melt rates to NetCDF format Parameters ---------- @@ -96,7 +97,91 @@ def adusumilli_hdf5_to_netcdf(in_filename, out_filename): print('done.') -def compute_regional_means(in_filename, out_prefix, chunk_size=50000, +def remap_adusumilli(in_filename, out_prefix, date, task_count=512): + """ + Remap Adusumilli et al. (2020) melt rates to 10 km comparison grid + + Parameters + ---------- + in_filename : str + The Adusumilli et al. (2020) melt rates in NetCDF format + + out_prefix : str + A prefix for the file to contain the Adusumilli et al. (2020) melt + rates and melt fluxes remapped to the comparison grid + + date : str + A date string to append to the file name. + + task_count : int + The number of MPI tasks to use to create the mapping file + """ + ds = xr.open_dataset(in_filename) + + melt_attrs = ds.meltRate.attrs + uncert_attrs = ds.meltRateUncertainty.attrs + + mask = ds.meltRate.notnull() + ds['meltRate'] = ds.meltRate.where(mask, 0.) + ds['meltMask'] = mask.astype(float) + mask = ds.meltRateUncertainty.notnull() + ds['meltRateUncertSqr'] = (ds.meltRateUncertainty**2).where(mask, 0.) + ds['uncertMask'] = mask.astype(float) + ds = ds.drop_vars(['lat', 'lon', 'meltRateUncertainty']) + + in_x = ds.x.values + in_y = ds.y.values + lx = np.abs(1e-3 * (in_x[-1] - in_x[0])) + ly = np.abs(1e-3 * (in_y[-1] - in_y[0])) + dx = np.abs(1e-3 * (in_x[1] - in_x[0])) + + in_grid_name = f'{lx:g}x{ly:g}km_{dx:g}km_Antarctic_stereo' + + in_projection = pyproj.Proj('+proj=stere +lat_ts=-71.0 +lat_0=-90 ' + '+lon_0=0.0 +k_0=1.0 +x_0=0.0 +y_0=0.0 ' + '+ellps=WGS84') + + in_descriptor = ProjectionGridDescriptor.create( + in_projection, in_x, in_y, in_grid_name) + + width = 6000. + reses = [1., 4., 10.] + + for res in reses: + x_max = 0.5 * width * 1e3 + nx = int(width / res) + 1 + out_x = np.linspace(-x_max, x_max, nx) + + out_grid_name = f'{width:g}x{width:g}km_{res:g}km_Antarctic_stereo' + + out_projection = get_antarctic_stereographic_projection() + + out_descriptor = ProjectionGridDescriptor.create( + out_projection, out_x, out_x, out_grid_name) + + method = 'conserve' + + map_filename = f'map_{in_grid_name}_to_{out_grid_name}_{method}.nc' + + remapper = Remapper(in_descriptor, out_descriptor, map_filename) + + if not os.path.exists(map_filename): + remapper.build_mapping_file(method=method, mpiTasks=task_count, + esmf_parallel_exec='srun') + + ds_out = remapper.remap(ds) + mask = ds_out.meltMask > 0. + ds_out['meltRate'] = ds_out.meltRate.where(mask) + ds_out.meltRate.attrs = melt_attrs + mask = ds_out.uncertMask > 0. + ds_out['meltRateUncertainty'] = \ + (np.sqrt(ds_out.meltRateUncertSqr)).where(mask) + ds_out.meltRateUncertainty.attrs = uncert_attrs + ds_out = ds_out.drop_vars(['meltRateUncertSqr']) + ds_out.to_netcdf(f'{out_prefix}_{out_grid_name}.{date}.nc') + + +def compute_regional_means(in_filename, out_prefix, date, chunk_size=50000, core_count=128, multiprocessing_method='spawn'): """ Remap the Adusumilli et al. (2020) melt rates at 1 km resolution to an MPAS @@ -111,6 +196,9 @@ def compute_regional_means(in_filename, out_prefix, chunk_size=50000, A prefix for the file to contain the Adusumilli et al. (2020) mean melt rates and melt fluxes aggregated over ice-shelf regions + date : str + A date string to append to ``out_prefix``. + chunk_size : int, optional The number of grid points that are processed in one operation when creating region masks @@ -123,9 +211,9 @@ def compute_regional_means(in_filename, out_prefix, chunk_size=50000, 'spawn' or 'forkserver') """ region_group = 'Ice Shelves' - aggregation_function, prefix, date = \ + aggregation_function, prefix, region_date = \ get_aggregator_by_name(region_group) - out_filename = f'{out_prefix}_{prefix}{date}.nc' + out_filename = f'{out_prefix}.{date}.{prefix}{region_date}.nc' mask_files = _compute_masks(in_filename, aggregation_function, chunk_size, core_count, multiprocessing_method) @@ -183,12 +271,14 @@ def compute_regional_means(in_filename, out_prefix, chunk_size=50000, def main(): prefix = 'Adusumilli_2020_iceshelf_melt_rates_2010-2018_v0' + date = '20230504' hdf5_filename = f'{prefix}.h5' - netcdf_filename = f'{prefix}.nc' + netcdf_filename = f'{prefix}.{date}.nc' download_adusumilli(hdf5_filename) adusumilli_hdf5_to_netcdf(hdf5_filename, netcdf_filename) - compute_regional_means(netcdf_filename, prefix) + remap_adusumilli(netcdf_filename, prefix, date) + compute_regional_means(netcdf_filename, prefix, date) def _compute_masks(mesh_filename, aggregation_function, chunk_size, core_count, From b61d588d160934108f079d6ef7521cea857e9b94 Mon Sep 17 00:00:00 2001 From: Xylar Asay-Davis Date: Wed, 3 May 2023 10:23:05 +0200 Subject: [PATCH 69/86] Clean up formatting in for Ant. melt climo. --- .../ocean/climatology_map_antarctic_melt.py | 46 +++++++++---------- 1 file changed, 23 insertions(+), 23 deletions(-) diff --git a/mpas_analysis/ocean/climatology_map_antarctic_melt.py b/mpas_analysis/ocean/climatology_map_antarctic_melt.py index 309dcc0aa..2e8e1e835 100644 --- a/mpas_analysis/ocean/climatology_map_antarctic_melt.py +++ b/mpas_analysis/ocean/climatology_map_antarctic_melt.py @@ -57,7 +57,7 @@ def __init__(self, config, mpasClimatologyTask, regionMasksTask, regionMasksTask : ``ComputeRegionMasks`` A task for computing region masks - controlconfig : mpas_tools.config.MpasConfigParser + controlConfig : mpas_tools.config.MpasConfigParser Configuration options for a control run """ # Authors @@ -81,8 +81,8 @@ def __init__(self, config, mpasClimatologyTask, regionMasksTask, seasons = config.getexpression(sectionName, 'seasons') if len(seasons) == 0: - raise ValueError('config section {} does not contain valid list ' - 'of seasons'.format(sectionName)) + raise ValueError(f'config section {sectionName} does not contain ' + f'valid list of seasons') comparisonGridNames = config.getexpression(sectionName, 'comparisonGrids') @@ -98,8 +98,8 @@ def __init__(self, config, mpasClimatologyTask, regionMasksTask, self.add_subtask(tableSubtask) if len(comparisonGridNames) == 0: - raise ValueError('config section {} does not contain valid list ' - 'of comparison grids'.format(sectionName)) + raise ValueError(f'config section {sectionName} does not contain ' + f'valid list of comparison grids') # the variable 'timeMonthly_avg_landIceFreshwaterFlux' will be added to # mpasClimatologyTask along with the seasons. @@ -121,8 +121,8 @@ def __init__(self, config, mpasClimatologyTask, regionMasksTask, config, 'ocean', 'meltSubdirectory') obsFileName = \ - '{}/Rignot_2013_melt_rates_6000.0x6000.0km_10.0km_' \ - 'Antarctic_stereo.nc'.format(observationsDirectory) + f'{observationsDirectory}/Rignot_2013_melt_rates_' \ + f'6000.0x6000.0km_10.0km_Antarctic_stereo.nc' refFieldName = 'meltRate' outFileLabel = 'meltRignot' galleryName = 'Observations: Rignot et al. (2013)' @@ -138,7 +138,7 @@ def __init__(self, config, mpasClimatologyTask, regionMasksTask, remapObservationsSubtask = None controlRunName = controlConfig.get('runs', 'mainRunName') galleryName = None - refTitleLabel = 'Control: {}'.format(controlRunName) + refTitleLabel = f'Control: {controlRunName}' refFieldName = mpasFieldName outFileLabel = 'melt' @@ -329,7 +329,7 @@ def __init__(self, parentTask, mpasClimatologyTask, controlConfig, mpasClimatologyTask : ``MpasClimatologyTask`` The task that produced the climatology to be remapped and plotted - controlconfig : mpas_tools.config.MpasConfigParser + controlConfig : mpas_tools.config.MpasConfigParser Configuration options for a control run (if any) regionMasksTask : ``ComputeRegionMasks`` @@ -347,7 +347,7 @@ def __init__(self, parentTask, mpasClimatologyTask, controlConfig, tags = ['climatology', 'table'] if subtaskName is None: - subtaskName = 'table{}'.format(season) + subtaskName = f'table{season}' # call the constructor from the base class (AnalysisTask) super(AntarcticMeltTableSubtask, self).__init__( @@ -357,7 +357,6 @@ def __init__(self, parentTask, mpasClimatologyTask, controlConfig, componentName=parentTask.componentName, tags=tags) - config = parentTask.config self.season = season self.mpasClimatologyTask = mpasClimatologyTask self.controlConfig = controlConfig @@ -484,16 +483,17 @@ def run_task(self): regionNames = decode_strings(ds.regionNames) - outDirectory = '{}/antarcticMelt/'.format( - build_config_full_path(config, 'output', 'tablesSubdirectory')) + tableBase = build_config_full_path(config, 'output', + 'tablesSubdirectory') + outDirectory = f'{tableBase}/antarcticMelt/' try: os.makedirs(outDirectory) except OSError: pass - tableFileName = '{}/antarcticMeltRateTable_{}.csv'.format(outDirectory, - self.season) + tableFileName = \ + f'{outDirectory}/antarcticMeltRateTable_{self.season}.csv' with open(tableFileName, 'w', newline='') as csvfile: writer = csv.DictWriter(csvfile, fieldnames=fieldNames) @@ -501,15 +501,15 @@ def run_task(self): writer.writeheader() for index, regionName in enumerate(regionNames): row = {'Region': regionName, - 'Area': '{}'.format(ds.area[index].values), - mainRunName: '{}'.format(ds.meltRates[index].values)} + 'Area': f'{ds.area[index].values}', + mainRunName: f'{ds.meltRates[index].values}'} if dsControl is not None: row[controlRunName] = \ - '{}'.format(dsControl.meltRates[index].values) + f'{dsControl.meltRates[index].values}' writer.writerow(row) - tableFileName = '{}/antarcticMeltFluxTable_{}.csv'.format(outDirectory, - self.season) + tableFileName = \ + f'{outDirectory}/antarcticMeltFluxTable_{self.season}.csv' with open(tableFileName, 'w', newline='') as csvfile: writer = csv.DictWriter(csvfile, fieldnames=fieldNames) @@ -517,9 +517,9 @@ def run_task(self): writer.writeheader() for index, regionName in enumerate(regionNames): row = {'Region': regionName, - 'Area': '{}'.format(ds.area[index].values), - mainRunName: '{}'.format(ds.totalMeltFlux[index].values)} + 'Area': f'{ds.area[index].values}', + mainRunName: f'{ds.totalMeltFlux[index].values}'} if dsControl is not None: row[controlRunName] = \ - '{}'.format(dsControl.totalMeltFlux[index].values) + f'{dsControl.totalMeltFlux[index].values}' writer.writerow(row) From b030cd39f3671c1329074b9f8d3b5d540fbaf0ef Mon Sep 17 00:00:00 2001 From: Xylar Asay-Davis Date: Wed, 3 May 2023 10:26:11 +0200 Subject: [PATCH 70/86] Switch Ant. melt climo. to use Adusumilli --- .../ocean/climatology_map_antarctic_melt.py | 25 +++++++++++++++---- 1 file changed, 20 insertions(+), 5 deletions(-) diff --git a/mpas_analysis/ocean/climatology_map_antarctic_melt.py b/mpas_analysis/ocean/climatology_map_antarctic_melt.py index 2e8e1e835..d7e9c8aad 100644 --- a/mpas_analysis/ocean/climatology_map_antarctic_melt.py +++ b/mpas_analysis/ocean/climatology_map_antarctic_melt.py @@ -10,6 +10,8 @@ # https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/main/LICENSE import os import csv + +import numpy as np import xarray as xr import dask from multiprocessing.pool import ThreadPool @@ -115,17 +117,30 @@ def __init__(self, config, mpasClimatologyTask, regionMasksTask, if controlConfig is None: refTitleLabel = \ - 'Observations (Rignot et al, 2013)' + 'Observations (Adusumilli et al, 2020)' observationsDirectory = build_obs_path( config, 'ocean', 'meltSubdirectory') + comparison_res = config.getfloat( + 'climatology', 'comparisonAntarcticStereoResolution') + + # the maximum available resolution that is not coarser than the + # comparison + avail_res = np.array([10., 4., 1.]) + valid = avail_res >= comparison_res + if np.count_nonzero(valid) == 0: + res = np.amin(avail_res) + else: + res = np.amax(avail_res[valid]) + obsFileName = \ - f'{observationsDirectory}/Rignot_2013_melt_rates_' \ - f'6000.0x6000.0km_10.0km_Antarctic_stereo.nc' + f'{observationsDirectory}/Adusumilli/Adusumilli_2020_' \ + f'iceshelf_melt_rates_2010-2018_v0_6000x6000km_{res:g}km_' \ + f'Antarctic_stereo.20230504.nc' refFieldName = 'meltRate' - outFileLabel = 'meltRignot' - galleryName = 'Observations: Rignot et al. (2013)' + outFileLabel = 'meltAdusumilli' + galleryName = 'Observations: Adusumilli et al. (2020)' remapObservationsSubtask = RemapObservedAntarcticMeltClimatology( parentTask=self, seasons=seasons, fileName=obsFileName, From 134bdbda7d82ad36b16e510e9622459c33a46a71 Mon Sep 17 00:00:00 2001 From: Xylar Asay-Davis Date: Wed, 3 May 2023 10:30:25 +0200 Subject: [PATCH 71/86] Clean up Ant. melt time series --- .../ocean/time_series_antarctic_melt.py | 97 ++++++++++--------- 1 file changed, 52 insertions(+), 45 deletions(-) diff --git a/mpas_analysis/ocean/time_series_antarctic_melt.py b/mpas_analysis/ocean/time_series_antarctic_melt.py index 1935c198d..30a3fd56f 100644 --- a/mpas_analysis/ocean/time_series_antarctic_melt.py +++ b/mpas_analysis/ocean/time_series_antarctic_melt.py @@ -57,7 +57,7 @@ def __init__(self, config, mpasTimeSeriesTask, regionMasksTask, regionMasksTask : ``ComputeRegionMasks`` A task for computing region masks - controlconfig : mpas_tools.config.MpasConfigParser, optional + controlConfig : mpas_tools.config.MpasConfigParser, optional Configuration options for a control run (if any) """ # Authors @@ -169,8 +169,7 @@ def __init__(self, parentTask, startYear, endYear, mpasTimeSeriesTask, taskName=parentTask.taskName, componentName=parentTask.componentName, tags=parentTask.tags, - subtaskName='computeMeltRates_{:04d}-{:04d}'.format(startYear, - endYear)) + subtaskName=f'computeMeltRates_{startYear:04d}-{endYear:04d}') self.mpasTimeSeriesTask = mpasTimeSeriesTask self.run_after(mpasTimeSeriesTask) @@ -182,8 +181,8 @@ def __init__(self, parentTask, startYear, endYear, mpasTimeSeriesTask, self.restartFileName = None self.startYear = startYear self.endYear = endYear - self.startDate = '{:04d}-01-01_00:00:00'.format(self.startYear) - self.endDate = '{:04d}-12-31_23:59:59'.format(self.endYear) + self.startDate = f'{self.startYear:04d}-01-01_00:00:00' + self.endDate = f'{self.endYear:04d}-12-31_23:59:59' self.variableList = \ ['timeMonthly_avg_landIceFreshwaterFlux'] @@ -246,16 +245,17 @@ def run_task(self): mpasTimeSeriesTask = self.mpasTimeSeriesTask config = self.config - outputDirectory = '{}/iceShelfFluxes/'.format( - build_config_full_path(config, 'output', 'timeseriesSubdirectory')) + timeSeriesBase = build_config_full_path(config, 'output', + 'timeseriesSubdirectory') + outputDirectory = f'{timeSeriesBase}/iceShelfFluxes/' try: os.makedirs(outputDirectory) except OSError: pass - outFileName = '{}/iceShelfFluxes_{:04d}-{:04d}.nc'.format( - outputDirectory, self.startYear, self.endYear) + outFileName = f'{outputDirectory}/iceShelfFluxes_' \ + f'{self.startYear:04d}-{self.endYear:04d}.nc' # Load data: inputFile = mpasTimeSeriesTask.outputFile @@ -271,14 +271,14 @@ def run_task(self): if numpy.all(dsOut.Time.values == dsIn.Time.values): return else: - self.logger.warning('File {} is incomplete. Deleting ' - 'it.'.format(outFileName)) + self.logger.warning(f'File {outFileName} is incomplete. ' + f'Deleting it.') os.remove(outFileName) except OSError: # something is potentially wrong with the file, so let's delete # it and try again - self.logger.warning('Problems reading file {}. Deleting ' - 'it.'.format(outFileName)) + self.logger.warning(f'Problems reading file {outFileName}. ' + f'Deleting it.') os.remove(outFileName) restartFileName = \ @@ -310,7 +310,7 @@ def run_task(self): datasets = [] nTime = dsIn.sizes['Time'] for tIndex in range(nTime): - self.logger.info(' {}/{}'.format(tIndex+1, nTime)) + self.logger.info(f' {tIndex + 1}/{nTime}') freshwaterFlux = \ dsIn.timeMonthly_avg_landIceFreshwaterFlux.isel(Time=tIndex) @@ -320,7 +320,7 @@ def run_task(self): totalMeltFluxes = numpy.zeros((nRegions,)) for regionIndex in range(nRegions): - self.logger.info(' {}'.format(regionNames[regionIndex])) + self.logger.info(f' {regionNames[regionIndex]}') cellMask = \ dsRegionMask.regionCellMasks.isel(nRegions=regionIndex) @@ -402,18 +402,18 @@ def run_task(self): # ------- # Xylar Asay-Davis - outputDirectory = '{}/iceShelfFluxes/'.format( - build_config_full_path(self.config, 'output', - 'timeseriesSubdirectory')) + timeSeriesBase = build_config_full_path(self.config, 'output', + 'timeseriesSubdirectory') + outputDirectory = f'{timeSeriesBase}/iceShelfFluxes/' - outFileName = '{}/iceShelfFluxes_{:04d}-{:04d}.nc'.format( - outputDirectory, self.startYears[0], self.endYears[-1]) + outFileName = f'{outputDirectory}/iceShelfFluxes_' \ + f'{self.startYears[0]:04d}-{self.endYears[-1]:04d}.nc' if not os.path.exists(outFileName): inFileNames = [] for startYear, endYear in zip(self.startYears, self.endYears): - inFileName = '{}/iceShelfFluxes_{:04d}-{:04d}.nc'.format( - outputDirectory, startYear, endYear) + inFileName = f'{outputDirectory}/iceShelfFluxes_' \ + f'{startYear:04d}-{endYear:04d}.nc' inFileNames.append(inFileName) ds = xarray.open_mfdataset(inFileNames, combine='nested', @@ -461,7 +461,7 @@ def __init__(self, parentTask, iceShelf, regionIndex, controlConfig): regionIndex : int The index into the dimension ``nRegions`` of the ice shelf to plot - controlconfig : mpas_tools.config.MpasConfigParser, optional + controlConfig : mpas_tools.config.MpasConfigParser, optional Configuration options for a control run (if any) """ # Authors @@ -474,7 +474,7 @@ def __init__(self, parentTask, iceShelf, regionIndex, controlConfig): taskName=parentTask.taskName, componentName=parentTask.componentName, tags=parentTask.tags, - subtaskName='plotMeltRates_{}'.format(iceShelf.replace(' ', '_'))) + subtaskName=f'plotMeltRates_{iceShelf.replace(" ", "_")}') self.iceShelfMasksFile = parentTask.iceShelfMasksFile self.iceShelf = iceShelf @@ -503,9 +503,9 @@ def setup_and_check(self): self.xmlFileNames = [] for prefix in ['melt_flux', 'melt_rate']: + iceShelfSuffix = self.iceShelf.replace(" ", "_") self.xmlFileNames.append( - '{}/{}_{}.xml'.format(self.plotsDirectory, prefix, - self.iceShelf.replace(' ', '_'))) + f'{self.plotsDirectory}/{prefix}_{iceShelfSuffix}.xml') return def run_task(self): @@ -516,8 +516,8 @@ def run_task(self): # ------- # Xylar Asay-Davis, Stephen Price - self.logger.info("\nPlotting Antarctic melt rate time series for " - "{}...".format(self.iceShelf)) + self.logger.info(f'\nPlotting Antarctic melt rate time series for ' + f'{self.iceShelf}...') self.logger.info(' Load melt rate data...') @@ -542,6 +542,10 @@ def run_task(self): refTotalMeltFlux, refMeltRates = \ self._load_ice_shelf_fluxes(self.controlConfig) + else: + controlRunName = None + refTotalMeltFlux = None + refMeltRates = None # Load observations from multiple files and put in dictionary based # on shelf key name @@ -554,8 +558,7 @@ def run_task(self): obsDict = {} # dict for storing dict of obs data for obsName in obsFileNameDict: - obsFileName = '{}/{}'.format(observationsDirectory, - obsFileNameDict[obsName]) + obsFileName = f'{observationsDirectory}/{obsFileNameDict[obsName]}' obsDict[obsName] = {} obsFile = csv.reader(open(obsFileName, 'r')) next(obsFile, None) # skip the header line @@ -610,22 +613,23 @@ def run_task(self): obsDict[obsName]['meltRateUncertainty']) else: # append NaN so this particular obs won't plot - self.logger.warning('{} observations not available for ' - '{}'.format(obsName, self.iceShelf)) + self.logger.warning(f'{obsName} observations not available ' + f'for {self.iceShelf}') obsMeltFlux.append(None) obsMeltFluxUnc.append(None) obsMeltRate.append(None) obsMeltRateUnc.append(None) title = self.iceShelf.replace('_', ' ') + suffix = self.iceShelf.replace(' ', '_') xLabel = 'Time (yr)' yLabel = 'Melt Flux (GT/yr)' timeSeries = totalMeltFlux.isel(nRegions=self.regionIndex) - filePrefix = 'melt_flux_{}'.format(self.iceShelf.replace(' ', '_')) - outFileName = '{}/{}.png'.format(self.plotsDirectory, filePrefix) + filePrefix = f'melt_flux_{suffix}' + outFileName = f'{self.plotsDirectory}/{filePrefix}.png' fields = [timeSeries] lineColors = [config.get('timeSeries', 'mainColor')] @@ -685,8 +689,8 @@ def run_task(self): savefig(outFileName, config) - caption = 'Running Mean of Total Melt Flux under Ice ' \ - 'Shelves in the {} Region'.format(title) + caption = f'Running Mean of Total Melt Flux under Ice Shelves in ' \ + f'the {title} Region' write_image_xml( config=config, filePrefix=filePrefix, @@ -704,8 +708,8 @@ def run_task(self): timeSeries = meltRates.isel(nRegions=self.regionIndex) - filePrefix = 'melt_rate_{}'.format(self.iceShelf.replace(' ', '_')) - outFileName = '{}/{}.png'.format(self.plotsDirectory, filePrefix) + filePrefix = f'melt_rate_{suffix}' + outFileName = f'{self.plotsDirectory}/{filePrefix}.png' fields = [timeSeries] lineColors = [config.get('timeSeries', 'mainColor')] @@ -750,8 +754,8 @@ def run_task(self): savefig(outFileName, config) - caption = 'Running Mean of Area-averaged Melt Rate under Ice ' \ - 'Shelves in the {} Region'.format(title) + caption = f'Running Mean of Area-averaged Melt Rate under Ice ' \ + f'Shelves in the {title} Region' write_image_xml( config=config, filePrefix=filePrefix, @@ -764,7 +768,8 @@ def run_task(self): imageDescription=caption, imageCaption=caption) - def _load_ice_shelf_fluxes(self, config): + @staticmethod + def _load_ice_shelf_fluxes(config): """ Reads melt flux time series and computes regional total melt flux and mean melt rate. @@ -773,14 +778,16 @@ def _load_ice_shelf_fluxes(self, config): # ------- # Xylar Asay-Davis - outputDirectory = '{}/iceShelfFluxes/'.format( - build_config_full_path(config, 'output', 'timeseriesSubdirectory')) + timeSeriesBase = build_config_full_path(config, 'output', + 'timeseriesSubdirectory') + + outputDirectory = f'{timeSeriesBase}/iceShelfFluxes/' startYear = config.getint('timeSeries', 'startYear') endYear = config.getint('timeSeries', 'endYear') - outFileName = '{}/iceShelfFluxes_{:04d}-{:04d}.nc'.format( - outputDirectory, startYear, endYear) + outFileName = f'{outputDirectory}/iceShelfFluxes_' \ + f'{startYear:04d}-{endYear:04d}.nc' dsOut = xarray.open_dataset(outFileName) return dsOut.totalMeltFlux, dsOut.meltRates From 17fe9d8167c95a6974e687cc1251f87d05169e63 Mon Sep 17 00:00:00 2001 From: Xylar Asay-Davis Date: Wed, 3 May 2023 10:55:18 +0200 Subject: [PATCH 72/86] Add Adusumilli to Ant. melt time series --- .../ocean/time_series_antarctic_melt.py | 18 ++++++++++++++++-- 1 file changed, 16 insertions(+), 2 deletions(-) diff --git a/mpas_analysis/ocean/time_series_antarctic_melt.py b/mpas_analysis/ocean/time_series_antarctic_melt.py index 30a3fd56f..8c172f7f5 100644 --- a/mpas_analysis/ocean/time_series_antarctic_melt.py +++ b/mpas_analysis/ocean/time_series_antarctic_melt.py @@ -15,6 +15,7 @@ import matplotlib.pyplot as plt from geometric_features import FeatureCollection, read_feature_collection +from geometric_features.aggregation import get_aggregator_by_name from mpas_analysis.shared.analysis_task import AnalysisTask @@ -582,8 +583,21 @@ def run_task(self): 'meltRate': meltRate, 'meltRateUncertainty': meltRateUncertainty} break - - # If areas from obs file used need to be converted from sq km to sq m + regionGroup = 'Ice Shelves' + _, prefix, date = get_aggregator_by_name(regionGroup) + + obsFileName = f'{observationsDirectory}/Adusumilli/Adusumilli_2020_' \ + f'iceshelf_melt_rates_2010-2018_v0.20230504.' \ + f'{prefix}{date}.nc' + with xarray.open_dataset(obsFileName) as ds_adusumilli: + region_names = [name.values for name in ds_adusumilli.regionNames] + index = region_names.index(self.iceShelf) + ds_shelf = ds_adusumilli.isel(nRegions=index) + obsDict['Adusumilli et al. (2020)'] = { + 'meltFlux': ds_shelf.totalMeltFlux.values, + 'meltFluxUncertainty': ds_shelf.meltFluxUncertainty.values, + 'meltRate': ds_shelf.meanMeltRate.values, + 'meltRateUncertainty': ds_shelf.meltRateUncertainty.values} mainRunName = config.get('runs', 'mainRunName') movingAveragePoints = config.getint('timeSeriesAntarcticMelt', From 59e66ab63c9203ade576e8df0004f5df137e61f3 Mon Sep 17 00:00:00 2001 From: Xylar Asay-Davis Date: Wed, 17 May 2023 14:59:49 -0600 Subject: [PATCH 73/86] Add Adusumilli melt rates to the docs --- docs/users_guide/tasks/climatologyMapAntarcticMelt.rst | 6 ++---- docs/users_guide/tasks/timeSeriesAntarcticMelt.rst | 6 ++++-- 2 files changed, 6 insertions(+), 6 deletions(-) diff --git a/docs/users_guide/tasks/climatologyMapAntarcticMelt.rst b/docs/users_guide/tasks/climatologyMapAntarcticMelt.rst index 90e1acc90..72d0f930c 100644 --- a/docs/users_guide/tasks/climatologyMapAntarcticMelt.rst +++ b/docs/users_guide/tasks/climatologyMapAntarcticMelt.rst @@ -4,7 +4,7 @@ climatologyMapAntarcticMelt =========================== An analysis task for comparison of Antarctic maps of melt rates against -observations from `Rignot et al. (2013)`_. +observations from `Adusumilli et al. (2020) `_. Component and Tags:: @@ -76,7 +76,7 @@ For more details, see: Observations ------------ -:ref:`rignot_melt` +:ref:`adusumilli_melt` Example Result -------------- @@ -84,5 +84,3 @@ Example Result .. image:: examples/ant_melt.png :width: 720 px :align: center - -.. _`Rignot et al. (2013)`: http://doi.org/10.1126/science.1235798 \ No newline at end of file diff --git a/docs/users_guide/tasks/timeSeriesAntarcticMelt.rst b/docs/users_guide/tasks/timeSeriesAntarcticMelt.rst index 263ee35d5..6dcef1795 100644 --- a/docs/users_guide/tasks/timeSeriesAntarcticMelt.rst +++ b/docs/users_guide/tasks/timeSeriesAntarcticMelt.rst @@ -4,7 +4,8 @@ timeSeriesAntarcticMelt ======================= An analysis task for plotting time series of mean melt rates per ice shelf or -Antarctic region along with observations from `Rignot et al. (2013)`_. +Antarctic region along with observations from `Rignot et al. (2013)`_ +and `Adusumilli et al. (2020) `_. Component and Tags:: @@ -102,7 +103,8 @@ Other Options Observations ------------ -:ref:`rignot_melt` +* :ref:`rignot_melt` +* :ref:`adusumilli_melt` Example Result -------------- From 38d4729dd3afa760199bcc51c2e444e42331654b Mon Sep 17 00:00:00 2001 From: Xylar Asay-Davis Date: Tue, 16 May 2023 14:49:01 -0500 Subject: [PATCH 74/86] Add support for `data` mode for land-ice fluxes --- mpas_analysis/ocean/climatology_map_antarctic_melt.py | 6 +++--- mpas_analysis/ocean/time_series_antarctic_melt.py | 6 +++--- 2 files changed, 6 insertions(+), 6 deletions(-) diff --git a/mpas_analysis/ocean/climatology_map_antarctic_melt.py b/mpas_analysis/ocean/climatology_map_antarctic_melt.py index d7e9c8aad..f78ebe56a 100644 --- a/mpas_analysis/ocean/climatology_map_antarctic_melt.py +++ b/mpas_analysis/ocean/climatology_map_antarctic_melt.py @@ -195,11 +195,11 @@ def setup_and_check(self): super(ClimatologyMapAntarcticMelt, self).setup_and_check() landIceFluxMode = self.namelist.get('config_land_ice_flux_mode') - if landIceFluxMode not in ['standalone', 'coupled']: + if landIceFluxMode not in ['data', 'standalone', 'coupled']: raise ValueError('*** climatologyMapMeltAntarctic requires ' 'config_land_ice_flux_mode \n' - ' to be standalone or coupled. Otherwise, no ' - 'melt rates are available \n' + ' to be data, standalone or coupled. ' + ' Otherwise, no melt rates are available \n' ' for plotting.') diff --git a/mpas_analysis/ocean/time_series_antarctic_melt.py b/mpas_analysis/ocean/time_series_antarctic_melt.py index 8c172f7f5..cf4238169 100644 --- a/mpas_analysis/ocean/time_series_antarctic_melt.py +++ b/mpas_analysis/ocean/time_series_antarctic_melt.py @@ -215,11 +215,11 @@ def setup_and_check(self): raiseException=True) landIceFluxMode = self.namelist.get('config_land_ice_flux_mode') - if landIceFluxMode not in ['standalone', 'coupled']: + if landIceFluxMode not in ['data', 'standalone', 'coupled']: raise ValueError('*** timeSeriesAntarcticMelt requires ' 'config_land_ice_flux_mode \n' - ' to be standalone or coupled. Otherwise, no ' - 'melt rates are available \n' + ' to be data, standalone or coupled. ' + ' Otherwise, no melt rates are available \n' ' for plotting.') # Load mesh related variables From 70f474da759b761a92fc61f93c30f89752f2d78d Mon Sep 17 00:00:00 2001 From: Xylar Asay-Davis Date: Tue, 30 May 2023 11:52:21 -0500 Subject: [PATCH 75/86] Fix coordinate order for Schmidtko --- .../ocean/climatology_map_schmidtko.py | 31 +++++++++++++------ 1 file changed, 22 insertions(+), 9 deletions(-) diff --git a/mpas_analysis/ocean/climatology_map_schmidtko.py b/mpas_analysis/ocean/climatology_map_schmidtko.py index 000b0a47e..903e11002 100644 --- a/mpas_analysis/ocean/climatology_map_schmidtko.py +++ b/mpas_analysis/ocean/climatology_map_schmidtko.py @@ -18,6 +18,7 @@ import xarray as xr from pyremap import ProjectionGridDescriptor +from pyremap.descriptor.utility import interp_extrap_corner from mpas_analysis.shared import AnalysisTask @@ -248,7 +249,7 @@ def get_observation_descriptor(self, fileName): Returns ------- - obsDescriptor : ``MeshDescriptor`` + obs_descriptor : ``MeshDescriptor`` The descriptor for the observation grid """ # Authors @@ -258,9 +259,19 @@ def get_observation_descriptor(self, fileName): # create a descriptor of the observation grid using the x/y polar # stereographic coordinates projection = get_pyproj_projection(comparison_grid_name='antarctic') - obsDescriptor = ProjectionGridDescriptor.read( - projection, fileName=fileName, xVarName='x', yVarName='y') - return obsDescriptor + + # Load MLD observational data + ds_obs = xr.open_dataset(fileName) + # the obs seem to be on a grid with the opposite x/y conventions + ds_obs = ds_obs.rename(dict(x='y', y='x')) + + x = ds_obs.x.values + y = ds_obs.y.values + mesh_name = ds_obs.attrs['meshName'] + + obs_descriptor = ProjectionGridDescriptor.create( + projection, x=x, y=y, meshName=mesh_name) + return obs_descriptor def build_observational_dataset(self, fileName): """ @@ -274,7 +285,7 @@ def build_observational_dataset(self, fileName): Returns ------- - dsObs : ``xarray.Dataset`` + ds_obs : ``xarray.Dataset`` The observational dataset """ # Authors @@ -282,11 +293,13 @@ def build_observational_dataset(self, fileName): # Xylar Asay-Davis # Load MLD observational data - dsObs = xr.open_dataset(fileName) + ds_obs = xr.open_dataset(fileName) + # the obs seem to be on a grid with the opposite x/y conventions + ds_obs = ds_obs.rename(dict(x='y', y='x')) - field = xr.concat([dsObs[self.fieldName]], dim='depthSlice') + field = xr.concat([ds_obs[self.fieldName]], dim='depthSlice') - dsObs = xr.Dataset(data_vars={self.fieldName: field}, + ds_obs = xr.Dataset(data_vars={self.fieldName: field}, coords={'depthSlice': ['bot']}) - return dsObs + return ds_obs From 665ec9792bd68aec6cb430c7c6a1235d83e500cb Mon Sep 17 00:00:00 2001 From: Xylar Asay-Davis Date: Fri, 16 Jun 2023 13:04:58 +0200 Subject: [PATCH 76/86] Update to v1.9.0rc1 --- ci/recipe/meta.yaml | 2 +- mpas_analysis/__init__.py | 5 +++-- 2 files changed, 4 insertions(+), 3 deletions(-) diff --git a/ci/recipe/meta.yaml b/ci/recipe/meta.yaml index bcf4a22dd..ac59cebfe 100644 --- a/ci/recipe/meta.yaml +++ b/ci/recipe/meta.yaml @@ -1,5 +1,5 @@ {% set name = "MPAS-Analysis" %} -{% set version = "1.8.0" %} +{% set version = "1.9.0rc1" %} package: name: {{ name|lower }} diff --git a/mpas_analysis/__init__.py b/mpas_analysis/__init__.py index 39698d1fe..57d40f43b 100644 --- a/mpas_analysis/__init__.py +++ b/mpas_analysis/__init__.py @@ -3,5 +3,6 @@ import matplotlib as mpl mpl.use('Agg') -__version_info__ = (1, 8, 0) -__version__ = '.'.join(str(vi) for vi in __version_info__) +__version_info__ = (1, 9, 0) +__version__ = '1.9.0rc1' +# __version__ = '.'.join(str(vi) for vi in __version_info__) From 638806f19d519601e230fb8897b4bf0b444fb21a Mon Sep 17 00:00:00 2001 From: Xylar Asay-Davis Date: Mon, 3 Jul 2023 13:15:36 +0200 Subject: [PATCH 77/86] Constrain pillow --- ci/recipe/meta.yaml | 2 +- dev-spec.txt | 2 +- setup.py | 2 +- 3 files changed, 3 insertions(+), 3 deletions(-) diff --git a/ci/recipe/meta.yaml b/ci/recipe/meta.yaml index ac59cebfe..70041f739 100644 --- a/ci/recipe/meta.yaml +++ b/ci/recipe/meta.yaml @@ -40,7 +40,7 @@ requirements: - netcdf4 - numpy - pandas - - pillow + - pillow >=10.0.0,<11.0.0 - progressbar2 - pyproj - pyremap >=0.0.14,<0.1.0 diff --git a/dev-spec.txt b/dev-spec.txt index 18cb6956a..f2438be18 100644 --- a/dev-spec.txt +++ b/dev-spec.txt @@ -21,7 +21,7 @@ nco>=4.8.1 netcdf4 numpy pandas -pillow +pillow >=10.0.0,<11.0.0 progressbar2 pyproj pyremap>=0.0.14,<0.1.0 diff --git a/setup.py b/setup.py index 6766c212d..540a38b2b 100755 --- a/setup.py +++ b/setup.py @@ -26,7 +26,7 @@ 'netcdf4', 'numpy', 'pandas', - 'pillow', + 'pillow >=10.0.0,<11.0.0', 'progressbar2', 'pyproj', 'python-dateutil', From d5ea3b883bef5f0f177c34735fbfba4f6e126ad3 Mon Sep 17 00:00:00 2001 From: Xylar Asay-Davis Date: Mon, 3 Jul 2023 13:16:12 +0200 Subject: [PATCH 78/86] Fix deprecated pillow filter name --- mpas_analysis/shared/html/image_xml.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/mpas_analysis/shared/html/image_xml.py b/mpas_analysis/shared/html/image_xml.py index 0bbab7d30..c43051bd0 100644 --- a/mpas_analysis/shared/html/image_xml.py +++ b/mpas_analysis/shared/html/image_xml.py @@ -211,7 +211,7 @@ def _generate_thumbnails(imageFileName, directory): # first, make a thumbnail with the same aspect ratio factor = image.size[1] / float(thumbnailHeight) thumbnailSize = [int(dim / factor + 0.5) for dim in image.size] - thumbnail = image.resize(thumbnailSize, Image.ANTIALIAS) + thumbnail = image.resize(thumbnailSize, Image.LANCZOS) thumbnail.save('{}/{}'.format(thumbnailDir, imageFileName)) # second, make a thumbnail with a fixed size @@ -220,7 +220,7 @@ def _generate_thumbnails(imageFileName, directory): factor = min(widthFactor, heightFactor) size = [int(dim / factor + 0.5) for dim in image.size] - thumbnail = image.resize(size, Image.ANTIALIAS) + thumbnail = image.resize(size, Image.LANCZOS) if widthFactor <= heightFactor: # crop out the top of the thumbnail From 925dce38266c80c6d53b44896073ba60ab70c7bd Mon Sep 17 00:00:00 2001 From: Xylar Asay-Davis Date: Mon, 3 Jul 2023 04:36:43 -0700 Subject: [PATCH 79/86] Switch builds to newer esmf with mpich --- ci/recipe/meta.yaml | 4 ++-- dev-spec.txt | 4 ++-- suite/run_suite.bash | 2 +- 3 files changed, 5 insertions(+), 5 deletions(-) diff --git a/ci/recipe/meta.yaml b/ci/recipe/meta.yaml index 70041f739..f91a432db 100644 --- a/ci/recipe/meta.yaml +++ b/ci/recipe/meta.yaml @@ -27,8 +27,8 @@ requirements: - cartopy_offlinedata - cmocean - dask - - esmf >=8.0.0,<8.3.0 - - esmf=*=nompi_* + - esmf >=8.4.2,<8.5.0 + - esmf=*=mpi_mpich_* - f90nml - geometric_features >=1.2.0 - gsw diff --git a/dev-spec.txt b/dev-spec.txt index f2438be18..20bb16fd2 100644 --- a/dev-spec.txt +++ b/dev-spec.txt @@ -8,8 +8,8 @@ cartopy >=0.18.0 cartopy_offlinedata cmocean dask -esmf >=8.0.0,<8.3.0 -esmf=*=nompi_* +esmf >=8.4.0,<8.5.0 +esmf=*=mpi_mpich_* f90nml geometric_features>=1.2.0 gsw diff --git a/suite/run_suite.bash b/suite/run_suite.bash index 834f78e46..a8dac34bb 100755 --- a/suite/run_suite.bash +++ b/suite/run_suite.bash @@ -21,7 +21,7 @@ do env=test_mpas_analysis_py${py} mamba create -y -n ${env} --use-local python=${py} mpas-analysis sphinx \ mock sphinx_rtd_theme "tabulate>=0.8.2" "m2r2>=0.3.3" "mistune<2" \ - pytest "mache>=1.11.0" "esmf=*=nompi_*" jinja2 + pytest "mache>=1.11.0" "esmf=*=mpi_mpich_*" jinja2 conda activate ${env} pytest conda deactivate From 3f32d1b69e8acd8a1cfd4e54cd71aba7f23baea9 Mon Sep 17 00:00:00 2001 From: Xylar Asay-Davis Date: Mon, 3 Jul 2023 04:46:26 -0700 Subject: [PATCH 80/86] Fix image location in quick start --- mpas_analysis/docs/parse_quick_start.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/mpas_analysis/docs/parse_quick_start.py b/mpas_analysis/docs/parse_quick_start.py index 3134d0358..f0691dda9 100644 --- a/mpas_analysis/docs/parse_quick_start.py +++ b/mpas_analysis/docs/parse_quick_start.py @@ -13,7 +13,7 @@ def build_quick_start(): '[![Build Status]': '', '[![Documentation Status]': '', '![sea surface temperature](docs/users_guide/_static/sst_example.png)': - '![sea surface temperature](users_guide/_static/sst_example.png)\n'} + '![sea surface temperature](_static/sst_example.png)\n'} skip = [('## conda-forge', '## Installation')] outContent = '' From 53ff6b19789ca560769e624fbde6a2d0d993f1bc Mon Sep 17 00:00:00 2001 From: Xylar Asay-Davis Date: Mon, 3 Jul 2023 14:01:02 +0200 Subject: [PATCH 81/86] Remove failing OSX tests I don't think anyone runs MPAS-Analysis on OSX --- azure-pipelines.yml | 52 --------------------------------------------- 1 file changed, 52 deletions(-) diff --git a/azure-pipelines.yml b/azure-pipelines.yml index 65ed6b553..81f8f020f 100644 --- a/azure-pipelines.yml +++ b/azure-pipelines.yml @@ -195,55 +195,3 @@ jobs: conda activate mpas pytest --pyargs mpas_analysis displayName: pytest - -- job: - displayName: osx - pool: - vmImage: 'macOS-latest' - strategy: - matrix: - Python39: - python.version: '3.9' - Python310: - python.version: '3.10' - Python311: - python.version: '3.11' - - steps: - - bash: echo "##vso[task.prependpath]$CONDA/bin" - displayName: Add conda to PATH - - - bash: sudo chown -R 501:20 /usr/local/miniconda/pkgs - displayName: Fix permissions - - - bash: | - set -e - eval "$(conda shell.bash hook)" - conda config --add channels conda-forge - conda config --set channel_priority strict - conda update --yes --all - conda install --yes mamba - mamba install --yes conda-build boa - displayName: Update conda base environment - - - bash: | - set -e - eval "$(conda shell.bash hook)" - conda activate - conda mambabuild -m "ci/python${PYTHON_VERSION}.yaml" "ci/recipe" - displayName: Build MPAS-Analysis - - - bash: | - set -e - eval "$(conda shell.bash hook)" - conda activate - mamba create --yes --quiet --name mpas -c ${CONDA_PREFIX}/conda-bld/ \ - python=$PYTHON_VERSION mpas-analysis pytest - displayName: Create Anaconda mpas environment - - - bash: | - set -e - eval "$(conda shell.bash hook)" - conda activate mpas - pytest --pyargs mpas_analysis - displayName: pytest From 72467fb2494874ab4e46f6c3abffcb9a2f1d2ed4 Mon Sep 17 00:00:00 2001 From: Xylar Asay-Davis Date: Tue, 4 Jul 2023 11:24:50 +0200 Subject: [PATCH 82/86] Update to 1.9.0rc2 --- ci/recipe/meta.yaml | 2 +- mpas_analysis/__init__.py | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/ci/recipe/meta.yaml b/ci/recipe/meta.yaml index f91a432db..faa92021e 100644 --- a/ci/recipe/meta.yaml +++ b/ci/recipe/meta.yaml @@ -1,5 +1,5 @@ {% set name = "MPAS-Analysis" %} -{% set version = "1.9.0rc1" %} +{% set version = "1.9.0rc2" %} package: name: {{ name|lower }} diff --git a/mpas_analysis/__init__.py b/mpas_analysis/__init__.py index 57d40f43b..5fc96ed74 100644 --- a/mpas_analysis/__init__.py +++ b/mpas_analysis/__init__.py @@ -4,5 +4,5 @@ mpl.use('Agg') __version_info__ = (1, 9, 0) -__version__ = '1.9.0rc1' +__version__ = '1.9.0rc2' # __version__ = '.'.join(str(vi) for vi in __version_info__) From 32df95da3c920e268d044875cb88361d5c633b51 Mon Sep 17 00:00:00 2001 From: Xylar Asay-Davis Date: Sun, 16 Jul 2023 10:40:49 -0500 Subject: [PATCH 83/86] Don't use matplotlib 3.7.2 There is a bug with tight layouts and insets https://github.com/matplotlib/matplotlib/pull/26291 --- ci/recipe/meta.yaml | 2 +- dev-spec.txt | 4 +++- setup.py | 2 +- 3 files changed, 5 insertions(+), 3 deletions(-) diff --git a/ci/recipe/meta.yaml b/ci/recipe/meta.yaml index faa92021e..6415b54a3 100644 --- a/ci/recipe/meta.yaml +++ b/ci/recipe/meta.yaml @@ -34,7 +34,7 @@ requirements: - gsw - lxml - mache >=1.11.0 - - matplotlib-base >=3.6.0 + - matplotlib-base >=3.6.0,!=3.7.2 - mpas_tools >=0.16.0 - nco >=4.8.1 - netcdf4 diff --git a/dev-spec.txt b/dev-spec.txt index 20bb16fd2..27fbe93b3 100644 --- a/dev-spec.txt +++ b/dev-spec.txt @@ -15,7 +15,9 @@ geometric_features>=1.2.0 gsw lxml mache >=1.11.0 -matplotlib-base>=3.6.0 +# 3.7.2 contains a bug with tight layouts and insets +# https://github.com/matplotlib/matplotlib/pull/26291 +matplotlib-base>=3.6.0,!=3.7.2 mpas_tools>=0.16.0 nco>=4.8.1 netcdf4 diff --git a/setup.py b/setup.py index 540a38b2b..096e280cf 100755 --- a/setup.py +++ b/setup.py @@ -22,7 +22,7 @@ 'dask', 'gsw', 'lxml', - 'matplotlib >=3.6.0', + 'matplotlib >=3.6.0,!=3.7.2', 'netcdf4', 'numpy', 'pandas', From dce46c9fe2ae44a85be5bc67580033cb02e807c7 Mon Sep 17 00:00:00 2001 From: Xylar Asay-Davis Date: Sun, 16 Jul 2023 17:47:42 +0200 Subject: [PATCH 84/86] Update to 1.9.0rc3 --- ci/recipe/meta.yaml | 2 +- mpas_analysis/__init__.py | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/ci/recipe/meta.yaml b/ci/recipe/meta.yaml index faa92021e..c1b159574 100644 --- a/ci/recipe/meta.yaml +++ b/ci/recipe/meta.yaml @@ -1,5 +1,5 @@ {% set name = "MPAS-Analysis" %} -{% set version = "1.9.0rc2" %} +{% set version = "1.9.0rc3" %} package: name: {{ name|lower }} diff --git a/mpas_analysis/__init__.py b/mpas_analysis/__init__.py index 5fc96ed74..84e4e0542 100644 --- a/mpas_analysis/__init__.py +++ b/mpas_analysis/__init__.py @@ -4,5 +4,5 @@ mpl.use('Agg') __version_info__ = (1, 9, 0) -__version__ = '1.9.0rc2' +__version__ = '1.9.0rc3' # __version__ = '.'.join(str(vi) for vi in __version_info__) From 859e0e49e4eeeb2e040d36415d7c8b11eb2c50b2 Mon Sep 17 00:00:00 2001 From: Xylar Asay-Davis Date: Fri, 28 Jul 2023 11:14:19 +0200 Subject: [PATCH 85/86] Update to v1.9.0 --- ci/recipe/meta.yaml | 6 +++--- docs/versions.rst | 3 +++ mpas_analysis/__init__.py | 3 +-- 3 files changed, 7 insertions(+), 5 deletions(-) diff --git a/ci/recipe/meta.yaml b/ci/recipe/meta.yaml index cc613314f..be418c4bf 100644 --- a/ci/recipe/meta.yaml +++ b/ci/recipe/meta.yaml @@ -1,5 +1,5 @@ {% set name = "MPAS-Analysis" %} -{% set version = "1.9.0rc3" %} +{% set version = "1.9.0" %} package: name: {{ name|lower }} @@ -18,10 +18,10 @@ build: requirements: host: - - python >=3.7 + - python >=3.8 - pip run: - - python >=3.7 + - python >=3.8 - bottleneck - cartopy >=0.18.0 - cartopy_offlinedata diff --git a/docs/versions.rst b/docs/versions.rst index bd5f1c108..c507a6086 100644 --- a/docs/versions.rst +++ b/docs/versions.rst @@ -19,6 +19,7 @@ Documentation On GitHub `v1.7.1`_ `1.7.1`_ `v1.7.2`_ `1.7.2`_ `v1.8.0`_ `1.8.0`_ +`v1.9.0`_ `1.9.0`_ ================ =============== .. _`stable`: ../stable/index.html @@ -36,6 +37,7 @@ Documentation On GitHub .. _`v1.7.1`: ../1.7.1/index.html .. _`v1.7.2`: ../1.7.2/index.html .. _`v1.8.0`: ../1.8.0/index.html +.. _`v1.9.0`: ../1.9.0/index.html .. _`main`: https://github.com/MPAS-Dev/MPAS-Analysis/tree/main .. _`develop`: https://github.com/MPAS-Dev/MPAS-Analysis/tree/develop .. _`1.2.6`: https://github.com/MPAS-Dev/MPAS-Analysis/tree/1.2.6 @@ -51,3 +53,4 @@ Documentation On GitHub .. _`1.7.1`: https://github.com/MPAS-Dev/MPAS-Analysis/tree/1.7.1 .. _`1.7.2`: https://github.com/MPAS-Dev/MPAS-Analysis/tree/1.7.2 .. _`1.8.0`: https://github.com/MPAS-Dev/MPAS-Analysis/tree/1.8.0 +.. _`1.9.0`: https://github.com/MPAS-Dev/MPAS-Analysis/tree/1.9.0 diff --git a/mpas_analysis/__init__.py b/mpas_analysis/__init__.py index 84e4e0542..c8a904509 100644 --- a/mpas_analysis/__init__.py +++ b/mpas_analysis/__init__.py @@ -4,5 +4,4 @@ mpl.use('Agg') __version_info__ = (1, 9, 0) -__version__ = '1.9.0rc3' -# __version__ = '.'.join(str(vi) for vi in __version_info__) +__version__ = '.'.join(str(vi) for vi in __version_info__) From 5bb53d27783ef39dd9d8ac7ddcc2483838c3b6f8 Mon Sep 17 00:00:00 2001 From: Xylar Asay-Davis Date: Wed, 2 Aug 2023 08:19:51 +0200 Subject: [PATCH 86/86] Update mesh name for Adusumilli observations The different rounding used before is leading to unnecessary mapping files being produced. --- mpas_analysis/ocean/climatology_map_antarctic_melt.py | 10 ++++++++++ 1 file changed, 10 insertions(+) diff --git a/mpas_analysis/ocean/climatology_map_antarctic_melt.py b/mpas_analysis/ocean/climatology_map_antarctic_melt.py index f78ebe56a..339366d0e 100644 --- a/mpas_analysis/ocean/climatology_map_antarctic_melt.py +++ b/mpas_analysis/ocean/climatology_map_antarctic_melt.py @@ -302,6 +302,16 @@ def get_observation_descriptor(self, fileName): projection = get_pyproj_projection(comparison_grid_name='antarctic') obsDescriptor = ProjectionGridDescriptor.read( projection, fileName=fileName, xVarName='x', yVarName='y') + + # update the mesh name to match the format used elsewhere in + # MPAS-Analysis + x = obsDescriptor.x + y = obsDescriptor.y + width = 1e-3 * (x[-1] - x[0]) + height = 1e-3 * (y[-1] - y[0]) + res = 1e-3 * (x[1] - x[0]) + obsDescriptor.meshName = f'{width}x{height}km_{res}km_Antarctic_stereo' + return obsDescriptor def build_observational_dataset(self, fileName):
All platforms: - - + +

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