🚸 Walkthrough on handling multi-resolution climate data #91
+453
−10
Conversation
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
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.
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
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: