issue_comments: 497127039

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https://github.com/pydata/xarray/issues/2281#issuecomment-497127039 https://api.github.com/repos/pydata/xarray/issues/2281 497127039 MDEyOklzc3VlQ29tbWVudDQ5NzEyNzAzOQ== 539688 2019-05-29T22:09:17Z 2019-05-29T22:16:38Z NONE

@crusaderky It doesn't work. First, it tells me that if x_new/y_new are 2D, then I have to pass them as DataArray's... why do I have to do that? After doing that, it tells me there are conflicts between "overlapping" dimensions?! Ok, I then pass x_new/y_new as 1D arrays... and the result comes nonsense!

The only interpolation that works (both with DataArray.interp() and your splev()) is the one over the time dimension. This is because time is defined as a one-dimensional variable (t).

Why is it so hard to perform an interpolation with spatial coordinates defined with 2D variables?! I would think this is a pretty common operation on climate datasets...

 
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