ClimSim: A large multi-scale dataset for hybrid physics-ML climate emulation. - Sungduk Yu; Walter M. Hannah; Liran Peng; Jerry Lin; Mohamed Aziz Bhouri; Ritwik Gupta; Björn Lütjens; Justus C. Will; Gunnar Behrens; Julius Busecke; Nora Loose; Charles Stern; et al. (NeurIPS, 2023)

Two-step hyperparameter optimization method: Accelerating hyperparameter search by using a fraction of a training dataset. - Sungduk Yu; Mike Pritchard; Po-Lun Ma; Balwinder Singh; Sam Silva (CoRR, 2023)

ClimSim: An open large-scale dataset for training high-resolution physics emulators in hybrid multi-scale climate simulators. - Sungduk Yu; Walter M. Hannah; Liran Peng; Mohamed Aziz Bhouri; Ritwik Gupta; Jerry Lin; Björn Lütjens; Justus C. Will; Tom Beucler; Bryce E. Harrop; Benjamin R. Hillman; Andrea M. Jenney; et al. (CoRR, 2023)

Understanding and Visualizing Droplet Distributions in Simulations of Shallow Clouds. - Justus C. Will; Andrea M. Jenney; Kara D. Lamb; Michael S. Pritchard; Colleen Kaul; Po-Lun Ma; Kyle Pressel; Jacob Shpund; Marcus van Lier-Walqui; Stephan Mandt (CoRR, 2023)