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,226037,closed,0,,,2,2018-10-09T01:04:24Z,2018-10-17T17:17:36Z,2018-10-17T17:14:21Z,MEMBER,,,,"The [*cfgrib* project](https://pypi.org/project/cfgrib/) 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","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/2475/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,completed,13221727,issue