🚸 Walkthrough on handling multi-resolution climate data #91
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Initial draft tutorial on loading climate datasets with different spatial resolutions for a super-resolution task. Will be looking at one of the CMIP6 model outputs and CarbonPlan's super-resolution (DeepSD) product.
Hierarchical tree-like data structures for xarray!
Show a side by side comparison of daily maximum near-surface air temperature in Aug 2089 over South Asia from the Global Climate Model (GCM) and GARD-MV dowscaled product. Adapted from Figure 1 of https://carbonplan.org/research/cmip6-downscaling-explainer Also converted arc degree units to arc minutes and fixed a broken link to the Zarr docs.
Show how to stack xarray.Dataset objects with different spatial resolutions into a nested DataTree structure. Showing the DataPipe graph too for good measure. Also added intersphinx link for xarray-datatree.
Show how to select data from a DataTree object that fits within a particular geographical bounding box and time range. Had to convert the low-resolution GCM's longitude coordinates from 0-360 to -180-180 first to match the DeepSD grid. Plotted the subsetted output for the Philippines on Dec 2030, and added a note about how one should approach pixel alignment and reprojection/resampling before performing spatial subsets.
Completing the multi-resolution tutorial hastily. Binning the temperature data in a monthly manner and chucking it into DataLoader2. Hopefully able to do multi-resolution spatial subsetting some day with changes in xbatcher!
Clarify that the climate dataset slicing is only on the time dimension and not the spatial dimensions for now. Also fixed a few typos here and there.
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Tutorial on loading climate datasets with different spatial resolutions for a super-resolution task. Will be looking at one of the CMIP6 model outputs and CarbonPlan's super-resolution (DeepSD) product.
Preview at https://zen3geo--91.org.readthedocs.build/en/91/multi-resolution.html
TODO:
xarray.DataTreexarray.DataTreeinto chipsReferences: