ClimSim: A large multi-scale dataset for hybrid physics-ML climate emulation
Published in NeurIPS 2023 Datasets and Benchmarks Track, 2023
This paper establishes a comprehensive set of datasets and benchmarks for machine learned subgrid parameterizations of convection and radiation in E3SM-MMF. It received the Outstanding Paper award for the Datasets and Benchmarks track at NeurIPS 2023.
