Ability to specify the desired dtype when decoding a variable with scale_factor and add_offset

[eschalkargans]

Hello,

I create this discussion following a recent xarray update that changes the decoding of encoded data via attributes scale_factor and add_offset. Long story short, before, my uint16 was decoded to a float32, but now is decoded to float64. The float32 was desirable for my usecase.

More details on this comment I made on the issue: pydata/xarray#2304 (comment)

_choose_float_dtype implementation in the associated PR: https://github.com/pydata/xarray/pull/8713/files#diff-ebbe6dc9f2f17dc4a9777193c923783413a3a6814f6e85d82ade7ca9f8ca65c9R396

My question would be: is it possible to specify the desired target dtype? Either via a special encoding attribute (like scale_factor and add_offset, we could imagine encoded_dtype='uint16' and decoded_dtype='float32'? Or via a special kwarg to pass to open_dataset, like open_dataset(decode_cf=True, decoding_mapping={'/path/to/my_variable': 'float32'}?

Thanks!

[eschalkargans]

Sorry, wrong repository...