Closed
Description
The cfgrib project offers to open a GRIB file as an xarray.Dataset
:
>>> import cfgrib
>>> cfgrib.open_dataset('era5-levels-members.grib')
<xarray.Dataset>
Dimensions: (air_pressure: 2, latitude: 61, longitude: 120, number: 10, time: 4)
Coordinates:
* number (number) int64 0 1 2 3 4 5 6 7 8 9
* time (time) datetime64[ns] 2017-01-01 ... 2017-01-02T12:00:00
step timedelta64[ns] ...
* air_pressure (air_pressure) float64 850.0 500.0
* latitude (latitude) float64 90.0 87.0 84.0 81.0 ... -84.0 -87.0 -90.0
* longitude (longitude) float64 0.0 3.0 6.0 9.0 ... 351.0 354.0 357.0
valid_time (time) datetime64[ns] ...
Data variables:
z (number, time, air_pressure, latitude, longitude) float32 ...
t (number, time, air_pressure, latitude, longitude) float32 ...
Attributes:
GRIB_edition: 1
GRIB_centre: ecmf
GRIB_centreDescription: European Centre for Medium-Range Weather Forecasts
GRIB_subCentre: 0
history: GRIB to CDM+CF via cfgrib-0.9.../ecCodes-2...
It would be very helpful to have a backend for it distributed with xarray to be selected via the engine
keyword argument:
>>> import xarray as xr
>>> xr.open_dataset('era5-levels-members.grib', engine='cfgrib')
<xarray.Dataset>
Dimensions: (air_pressure: 2, latitude: 61, longitude: 120, number: 10, time: 4)
Coordinates:
* number (number) int64 0 1 2 3 4 5 6 7 8 9
* time (time) datetime64[ns] 2017-01-01 ... 2017-01-02T12:00:00
step timedelta64[ns] ...
* air_pressure (air_pressure) float64 850.0 500.0
* latitude (latitude) float64 90.0 87.0 84.0 81.0 ... -84.0 -87.0 -90.0
* longitude (longitude) float64 0.0 3.0 6.0 9.0 ... 351.0 354.0 357.0
valid_time (time) datetime64[ns] ...
Data variables:
z (number, time, air_pressure, latitude, longitude) float32 ...
t (number, time, air_pressure, latitude, longitude) float32 ...
Attributes:
GRIB_edition: 1
GRIB_centre: ecmf
GRIB_centreDescription: European Centre for Medium-Range Weather Forecasts
GRIB_subCentre: 0
history: GRIB to CDM+CF via cfgrib-0.9.../ecCodes-2...
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