Code and partial data for "Representing sub-grid processes in weather and climate models via sequence learning"

This repository contains the RNN training and evaluation code used in the paper for all three parameterization problems: non-orographic gravity wave drag (NOGWD) non-local parameterization (Wang et al. 2022) moist physics (Han et al. 2023, 2022) Data is included only for the first one as the data for the others came from other studies which already archived the data.