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  • duncanwp · 1 ✖

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  • API for multi-dimensional resampling/regridding · 1 ✖

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  • CONTRIBUTOR · 1 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
291953242 https://github.com/pydata/xarray/issues/486#issuecomment-291953242 https://api.github.com/repos/pydata/xarray/issues/486 MDEyOklzc3VlQ29tbWVudDI5MTk1MzI0Mg== duncanwp 3169620 2017-04-05T18:29:33Z 2017-04-05T18:29:53Z CONTRIBUTOR

@jhamman @godfrey4000 - I'm not sure of the status of this, but I'm the lead developer on a package called CIS which might be useful/relevant.

It was designed as a command line tool to allow easy collocation (resampling) between different model and observation datasets, but is now also a Python library. We spent a fair amount of time thinking about the various permutations and you can see some of the details in our paper here. Internally we currently use Iris Cube-like objects but it would be pretty easy to operate on xarray Datasets since they share a similar design.

The basic syntax is: ``` from CIS import read_data X = read_data('some_obs_data.nc') Y = read_data('some_other_data.nc') X.sampled_from(Y)

or...

Y.collocated_onto(X) `` Happy to discuss further here, or inxmap`.

 
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   API for multi-dimensional resampling/regridding 96211612

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