Closed znicholls closed 8 months ago
Comments from second round of review:
a script or docs or something that shows how CMIP data is pre-processed, particularly details that are easy to get wrong e.g. area weighting, would be very useful still I think. Yes, this pre-processing is not necessarily part of stitches but it is important to get right in order to use stitches correctly so I think more discussion of this pre-processing step would be worthwhile to give users a better chance of using stitches correctly.
install_package_data
seems to download all the data every time, even if data is already downloaded. Is that intended?
I would put a link to the ESD paper in the notebook where it is mentioned (at the moment it is just referred to but no link is included)
a script or docs or something that shows how CMIP data is pre-processed, particularly details that are easy to get wrong e.g. area weighting, would be very useful still I think. Yes, this pre-processing is not necessarily part of stitches but it is important to get right in order to use stitches correctly so I think more discussion of this pre-processing step would be worthwhile to give users a better chance of using stitches correctly.
- this has been added https://github.com/JGCRI/stitches/blob/main/notebooks/preparing-input-data.ipynb
install_package_data seems to download all the data every time, even if data is already downloaded. Is that intended?
- a note that this is the case has been added to the quickstart notebook
I would put a link to the ESD paper in the notebook where it is mentioned (at the moment it is just referred to but no link is included)
- this has been done
https://github.com/JGCRI/stitches/blob/main/notebooks/stitches-quickstart.ipynb runs nicely, there are a few tweaks which could help I think:
get_chunk_info
andchunk_ts
functions are doingdata
doesn't really tell the user anything about what the variable isis https://github.com/JGCRI/stitches/blob/main/notebooks/full_pipeline_example.ipynb meant to be for users or is that just internal?
https://github.com/openjournals/joss-reviews/issues/5525