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https://github.com/pydata/xarray/issues/2227#issuecomment-425224969 https://api.github.com/repos/pydata/xarray/issues/2227 425224969 MDEyOklzc3VlQ29tbWVudDQyNTIyNDk2OQ== 291576 2018-09-27T20:05:05Z 2018-09-27T20:05:05Z CONTRIBUTOR

It would be ten files opened via xr.open_mfdataset() concatenated across a time dimension, each one looking like: ``` netcdf convect_gust_20180301_0000 { dimensions: latitude = 3502 ; longitude = 7002 ; variables: double latitude(latitude) ; latitude:_FillValue = NaN ; latitude:_Storage = "contiguous" ; latitude:_Endianness = "little" ; double longitude(longitude) ; longitude:_FillValue = NaN ; longitude:_Storage = "contiguous" ; longitude:_Endianness = "little" ; float gust(latitude, longitude) ; gust:_FillValue = NaNf ; gust:units = "m/s" ; gust:description = "gust winds" ; gust:_Storage = "chunked" ; gust:_ChunkSizes = 701, 1401 ; gust:_DeflateLevel = 8 ; gust:_Shuffle = "true" ; gust:_Endianness = "little" ;

// global attributes: :start_date = "03/01/2018 00:00" ; :end_date = "03/01/2018 01:00" ; :interval = "half-open" ; :init_date = "02/28/2018 22:00" ; :history = "Created 2018-09-12 15:53:44.468144" ; :description = "Convective Downscaling, format V2.0" ; :_NCProperties = "version=1|netcdflibversion=4.6.1|hdf5libversion=1.10.1" ; :_SuperblockVersion = 0 ; :_IsNetcdf4 = 1 ; :_Format = "netCDF-4" ; ```

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