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id node_id number title user state locked assignee milestone comments created_at updated_at ▲ closed_at author_association active_lock_reason draft pull_request body reactions performed_via_github_app state_reason repo type
368003448 MDU6SXNzdWUzNjgwMDM0NDg= 2475 Please add support for GRIB files via ECMWF cfgrib / ecCodes alexamici 226037 closed 0     2 2018-10-09T01:04:24Z 2018-10-17T17:17:36Z 2018-10-17T17:14:21Z MEMBER      

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... ```

cc @StephanSiemen @iainrussell

 
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   completed xarray 13221727 issue

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