RAIN: Reinforcement Algorithms for Improving Numerical Weather and Climate Models

This Zenodo repository contains the runs data for the paper RAIN: Reinforcement Algorithms for Improving Numerical Weather and Climate Models [https://arxiv.org/abs/2408.16118] presented at the NeurIPS 2024 workshop on Tackling Climate Change with Machine Learning, as well as the Master of Research (MRes) report Towards improving weather and climate models using reinforcement learning at the University of Cambridge. For questions, please contact Pritthijit Nath, [e-mail]. Full documentation is available in the README.md file of the associated GitHub repo.