issue_comments: 1458582799

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https://github.com/pydata/xarray/issues/7039#issuecomment-1458582799 https://api.github.com/repos/pydata/xarray/issues/7039 1458582799 IC_kwDOAMm_X85W8DUP 60435591 2023-03-07T17:47:20Z 2023-03-07T22:48:36Z CONTRIBUTOR

@etsmith14: another workaround is removing the scale_factor instead of the dtype. This keeps the file size small. However, there are slight offsets between the source and destination datasets, which is to be expected since the original value for the msl variable was in the range of 0.1/0.11 and removing it defaults to 1. For your variable, the scale_factor might also be completely different. However, maybe the scale_factor (and add_offset) can be replaced by something that works for all ERA5 data instead of a value very specific to a single dataset/period.

 
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