...
Code Block | ||||||
---|---|---|---|---|---|---|
| ||||||
# assumed you have download from the Climate Data Store a GloFAS GRIB file named 'download.grib' In [1]: import xarray as xr # reading GloFAS GRIB file In [2]: ds = xr.open_dataset('download.grib',engine='cfgrib') In [3]: ds Out[4]: <xarray.Dataset> Dimensions: (latitude: 1500, longitude: 3600, step: 3, time: 3) Coordinates: number int64 ... * time (time) datetime64[ns] 2019-12-01 2019-12-02 2019-12-03 * step (step) timedelta64[ns] 1 days 2 days 3 days surface int64 ... * latitude (latitude) float64 89.95 89.85 89.75 ... -59.75 -59.85 -59.95 * longitude (longitude) float64 -179.9 -179.8 -179.8 ... 179.7 179.8 179.9 valid_time (time, step) datetime64[ns] ... Data variables: dis24 (time, step, latitude, longitude) float32 ... Attributes: GRIB_edition: 2 GRIB_centre: ecmf GRIB_centreDescription: European Centre for Medium-Range Weather Forecasts GRIB_subCentre: 0 Conventions: CF-1.7 institution: European Centre for Medium-Range Weather Forecasts history: 2021-02-11T11:00:21 GRIB to CDM+CF via cfgrib-0.... |
...