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705 re enable cmems download per period #706

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merged 2 commits into from
Dec 8, 2023
Merged

705 re enable cmems download per period #706

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906d554
re-enabled downloading cmems per period
veenstrajelmer Dec 8, 2023
1fbe515
cleaned code and support for flexible periods
veenstrajelmer Dec 8, 2023
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36 changes: 25 additions & 11 deletions dfm_tools/download.py
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Original file line number Diff line number Diff line change
Expand Up @@ -180,7 +180,7 @@ def cds_client_withargs():

def download_CMEMS(varkey,
longitude_min, longitude_max, latitude_min, latitude_max,
date_min, date_max, #freq='D',
date_min, date_max, freq='D',
dataset_id=None, buffer=None,
dir_output='.', file_prefix='', overwrite=False):
"""
Expand All @@ -189,6 +189,8 @@ def download_CMEMS(varkey,
copernicusmarine_remove_manual_credentials_file()
copernicusmarine_credentials()

# We floor/ceil the input timestamps to make sure we
# subset enough data in case of data with daily timesteps.
date_min = pd.Timestamp(date_min).floor('1d')
date_max = pd.Timestamp(date_max).ceil('1d')

Expand All @@ -203,14 +205,6 @@ def download_CMEMS(varkey,
latitude_min -= buffer
latitude_max += buffer

Path(dir_output).mkdir(parents=True, exist_ok=True)
date_str = f"{date_min.strftime('%Y%m%d')}_{date_max.strftime('%Y%m%d')}" #TODO: later maybe add subsetting per day/month
name_output = f'{file_prefix}{varkey}_{date_str}.nc'
output_filename = Path(dir_output,name_output)
if output_filename.is_file() and not overwrite:
print(f'"{name_output}" found and overwrite=False, continuing.')
return

dataset = cmc.open_dataset(
dataset_id = dataset_id,
variables = [varkey],
Expand All @@ -222,9 +216,29 @@ def download_CMEMS(varkey,
end_datetime = date_max,
)

print(f'xarray writing netcdf file: {name_output}')
Path(dir_output).mkdir(parents=True, exist_ok=True)

dataset.to_netcdf(output_filename)
if freq is None:
date_str = f"{date_min.strftime('%Y%m%d')}_{date_max.strftime('%Y%m%d')}"
name_output = f'{file_prefix}{varkey}_{date_str}.nc'
output_filename = Path(dir_output,name_output)
if output_filename.is_file() and not overwrite:
print(f'"{name_output}" found and overwrite=False, returning.')
return
print(f'xarray writing netcdf file: {name_output}')
dataset.to_netcdf(output_filename)
else:
period_range = pd.period_range(date_min,date_max,freq=freq)
for date in period_range:
date_str = str(date)
name_output = f'{file_prefix}{varkey}_{date_str}.nc'
output_filename = Path(dir_output,name_output)
if output_filename.is_file() and not overwrite:
print(f'"{name_output}" found and overwrite=False, continuing.')
continue
dataset_perperiod = dataset.sel(time=slice(date_str, date_str))
print(f'xarray writing netcdf file: {name_output}')
dataset_perperiod.to_netcdf(output_filename)


def copernicusmarine_get_product(date_min, date_max):
Expand Down
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