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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)

The Simple Cloud-Resolving E3SM Atmosphere Model Running on the Frontier Exascale System. - Mark Taylor; Peter M. Caldwell; Luca Bertagna; Conrad Clevenger; Aaron Donahue; James G. Foucar; Oksana Guba; Benjamin R. Hillman; Noel Keen; Jayesh Krishna; Matthew R. Norman; Sarat Sreepathi; et al. (SC, 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)