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https://github.com/pydata/xarray/issues/1704#issuecomment-344352515 https://api.github.com/repos/pydata/xarray/issues/1704 344352515 MDEyOklzc3VlQ29tbWVudDM0NDM1MjUxNQ== 14314623 2017-11-14T18:28:51Z 2017-11-14T18:28:51Z CONTRIBUTOR

I believe I solved the issue: It turns out the reason for the slow performance were inconsistencies in between different files (added data_vars and coords). Specifying drop_variables yields the expected performance.

I am not sure if that is a feasible option, but would it be possible to implement a check for such errors that displays a warning?

The error regarding enige='scipy' remains but I believe this is due to changing netcdf formats between files.

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