issues: 345354038

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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
345354038 MDU6SXNzdWUzNDUzNTQwMzg= 2323 znetcdf: h5netcdf analog for zarr? 1872600 closed 0     4 2018-07-27T20:17:58Z 2020-07-28T06:25:33Z 2020-07-28T06:25:33Z NONE      

I've been making good use of the zarr backend via xr.open_zarr, but with the National Water Model datasets I've been working with lately, it would be really handy to be able to open them with xr.open_mfdataset(filelist, engine='znetcdf') so that we could more easily create xarray datasets from the assemblage of overlapping forecast data files.

So just as we have h5netcdf "Pythonic interface to netCDF4 via h5py", we could have "z5netcdf", a "Pythonic interface to netCDF4 via Zarr".

I see that @shoyer previously had this idea: https://github.com/pydata/xarray/issues/1223#issuecomment-274230041 and also @rabernat https://github.com/pydata/xarray/pull/1528#issuecomment-325226495 thinks it would be a good idea, so I'm just piling on from a user perspective! 

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