Ales Kuchar

pydata/xarray#1730

@ReimarBauer if still interested, here is the solution where I used [pyfilesystem2](http://pyfilesystem2.readthedocs.io/) to read zipped netcdf files: ```python from fs.zipfs import ZipFS import xarray as xr import netCDF4 new_zip =...

[Here](https://github.com/pydata/xarray/discussions/6406) is a short guideline on how to load binary files with a custom backend. Not sure now whether it would be possible to generalize such a backend.

My use case is like the following: ```python from xarray.backends import BackendEntrypoint from scipy.io import loadmat import xarray as xr import pandas as pd class MyBackendEntrypoint(BackendEntrypoint): def open_dataset( self, filename_or_obj,...

[Possible source](https://vlab.ncep.noaa.gov/web/wdtd/-/vertically-integrated-liquid-vil-?selectedFolder=562123) how to calculate VIL.

Related to #58.

I can confirm that `H.xarray("VGRD:100 mb")` gives both UGRD and VGRD too.

Actually, more may be needed to modify. See e.g. [poly_horseshoe.stan.mustache](https://github.com/jrnold/dlm-shrinkage/blob/master/stan/poly_horseshoe.stan.mustache) where all input parameters and model are introduced.

Hi @ESadek-MO, thanks for your prompt response. Nevertheless, is there any way how to generate the RAP full North American domain (also known as an “[Arakawa staggered E-grid](https://en.wikipedia.org/wiki/Arakawa_grids) on rotated...

I mean whether, in general, you can define such a grid using corner points etc. (see [here](https://www.ssec.wisc.edu/realearth/solved-north-american-domain-rap-13-5km-rotated-pole-grib2-for-gis/)).