ensemble_tools

Tools for downloading, processing, and analyzing operational ensemble forecasts.

Contents:

• ensemble.py: contains the GlobalEnsemble and RegionalEnsemble classes, which are xarray.Dataset wrapper classes that point to multidimensional [member, time, latitude, longitude] ensemble forecast data. The classes contain a wide range of functions for manipulating, displaying, and performing computations with the model fields.

• ens_utilities: module containing a functions that are used by a number of modules in this package.

• plotting.py: contains the Plotter class, which is used to create ensemble graphics using data stored the GlobalEnsemble and RegionalEnsemble objects.

• uw_wrf/: package containing tools used specifically for working with the University of Washington operational regional WRF ensemble.

  • plumes.py: contains the Plumes class, which is for loading/plotting UW WRF ensemble plumes for numerous stations. Data for this class is loaded from netCDFs (created with a Fortran script written by David Ovens) which contain WRF forecast data interpolated to 169 Pacific Northwest station sites.

  • tools.py: a module of functions used to load UW WRF ensemble data.

  • rename_vars.py: simply contains a dictionary used to rename WRF variables using more readable names.

  • members.txt: text file containing the names of the UW WRF ensemble members.

  • new_wrf_plotting_functions/: package written by Luke Madaus for computing variables using WRF fields.

• tracking/: package for tracking extratropical cyclones using global ensemble fields.

  • cyclonetracks.py: consists of four List/Dictionary-like classes (CycloneCenter, CycloneTrack, TrackCluster, and EnsembleTrackClusters) used to store information about cyclones, tracks, and ensemble clusters of tracks.

  • tracker.py: module containing the cyclone tracking algorithm (adaped from Flaounas et al. 2017.

• process_cfsv2.py: used for downloading and converting CFSv2 grib files.

• cfs.table: text file used by the wgrib2 utility in process_cfsv2.py to convert grib files to netCDFs.

• stids.csv: text file containing ASOS station identifiers and their associated lat/lon coordinates (for creating ensemble plumes etc.).