I am using a virtual environment in Anaconda to download CMIP6 data. The script is from GitHub - tom-andersson/icenet-paper: Code associated with the paper 'Seasonal Arctic sea ice forecasting with probabilistic deep learning'
However, I am running into this error (I am using netcdf4=1.5.0):
Downloading data for EC-Earth3, r7i1p1f1
siconca: searching ESGF… found historical, found ssp245, found 251 files. loading metadata… curl error details:
curl error details:
curl error details:
Traceback (most recent call last):
File “/opt/anaconda3/envs/icenet/lib/python3.7/site-packages/xarray/backends/file_manager.py”, line 199, in _acquire_with_cache_info
file = self._cache[self._key]
File “/opt/anaconda3/envs/icenet/lib/python3.7/site-packages/xarray/backends/lru_cache.py”, line 53, in getitem
value = self._cache[key]
KeyError: [<class ‘netCDF4._netCDF4.Dataset’>, (‘http://esgf.bsc.es/thredds/dodsC/esg_dataroot/a1st-CMIP-r7/CMIP6/CMIP/EC-Earth-Consortium/EC-Earth3/historical/r7i1p1f1/SImon/siconca/gr/v20201217/siconca_SImon_EC-Earth3_historical_r7i1p1f1_gr_194001-194012.nc’,), ‘r’, ((‘clobber’, True), (‘diskless’, False), (‘format’, ‘NETCDF4’), (‘persist’, False))]