Pass the whole region into a CNN (FCNNs don't mind the size of image)
Switch from NN to CNN
Do not use halo method yet
Do not use dictionaries --> build xarray datasets instead (label region and type of input var with numbers for now, and later use word names to index)
Replace monthly averages with every 30th snapshot from the large dataset
Define Q_coarse and Q_star appropriately
Train and test on single region with CNN
Use Zotero for paper readings
Read one more paper this week (Guillaumin, A. P., & Zanna, L. (2021). Stochastic-deep learning parameterization of ocean momentum forcing. Journal of Advances in Modeling Earth Systems, 13 (9), e2021MS002534.)
Use method in paper above for training dataset creation
Create IDP (fill out form, and ask Dhruv for feedback)