Conversation
… be consistent with other notebooks.
…d CONUS404 datasets
There was a problem hiding this comment.
Hi @igarousi! This is such a nice notebook. I made a few minor edits that I pushed to this PR branch. Tony mentioned that I may want to steer away from abstracting too much code inside functions so I focused more on readability versus modularity for this initial review.
I do think adding an animated GIF of the rainfall over a time period with something like GeoGIF (https://github.com/gjoseph92/geogif; this package supports GIF rendering from xarray and dask array objects) could be helpful and would be something nice to include as a graphical abstract and/or a visual to add to the newsletter. I'll bring this up in our compute team meeting to see if this is something we might want to add.
…ategory and degree from the Zarr format on HydroShare
|
Check out this pull request on See visual diffs & provide feedback on Jupyter Notebooks. Powered by ReviewNB |
4 participants
This PR includes a first draft of a science use case exploring two high-resolution meteorological forcing datasets: the USGS/NCAR CONUS404 reanalysis and NOAA’s Analysis of Record for Calibration (AORC).