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https://github.com/pydata/xarray/issues/6909#issuecomment-1212987160 https://api.github.com/repos/pydata/xarray/issues/6909 1212987160 IC_kwDOAMm_X85ITLcY 21034385 2022-08-12T10:58:15Z 2022-08-12T16:07:36Z NONE

Thanks for your help, Kai. I have a follow-up question:

What about when I have multiple timesteps...

``` import xarray as xr import glob

file_list = glob.glob(target_dir + '*.grib2')

ds = xr.open_mfdataset(file_list, engine='cfgrib', combine="nested", concat_dim="generalVerticalLayer") ```

It does load the data, but it does not get the dimensions right. Note that I attached a new dataset, which in the end should have the dimensions lon, lat, vertical and time.

Thanks for your help!

icon-d2_germany_regular-lat-lon_model-level_u.zip

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