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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
1925677779 PR_kwDOAMm_X85b30e9 8270 Add xarray-regrid to ecosystem.rst BSchilperoort 12114825 closed 0     3 2023-10-04T08:28:58Z 2023-10-05T07:58:28Z 2023-10-04T15:16:37Z CONTRIBUTOR   0 pydata/xarray/pulls/8270

I was asked to open a PR to add our xarray-regrid extension to the ecosystem list (#8260), so here it is.

 
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     xarray 13221727 pull
1921433342 I_kwDOAMm_X85yhr7- 8260 xarray accessor: `regrid` BSchilperoort 12114825 closed 0     3 2023-10-02T08:02:17Z 2023-10-04T15:44:35Z 2023-10-04T15:44:35Z CONTRIBUTOR      

What is your issue?

For regridding (rectilinear) geospatial data, we are working on an xarray plugin "xarray-regrid".

As accessor we use regrid.

Currently we have a few methods implemented:

  • linear, nearest neighbor, cubic (simple wrappers around xr.interp)
  • conservative (custom method, based on a comment by Stephan Hoyer here)
  • It is compatible with dask.distributed and outperforms xESMF, on par with CDO.
  • A "most common value" zonal statistics method.

On our repository we also have some notebooks benchmarking the results against xESMF and CDO.

I read I should let you know about using the accessor, hope you are interested!

 
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   completed xarray 13221727 issue

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