Generative Modeling of Atmospheric Convection. - Griffin Mooers; Jens Tuyls; Stephan Mandt; Mike Pritchard; Tom G. Beucler (CI, 2020)

Generative Modeling for Atmospheric Convection. - Griffin Mooers; Jens Tuyls; Stephan Mandt; Michael S. Pritchard; Tom Beucler (CoRR, 2020)

Analyzing High-Resolution Clouds and Convection using Multi-Channel VAEs. - Harshini Mangipudi; Griffin Mooers; Mike Pritchard; Tom Beucler; Stephan Mandt (CoRR, 2021)

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)

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)

Neural General Circulation Models. - Dmitrii Kochkov; Janni Yuval; Ian Langmore; Peter C. Norgaard; Jamie A. Smith; Griffin Mooers; James Lottes; Stephan Rasp 001; Peter D. Düben; Milan Klöwer; Sam Hatfield; Peter W. Battaglia; et al. (CoRR, 2023)

Improving The Modeling and Analysis of Tropical Convection and Precipitation through Machine Learning Methods - Griffin Mooers (2023)

Neural general circulation models for weather and climate. - Dmitrii Kochkov; Janni Yuval; Ian Langmore; Peter C. Norgaard; Jamie A. Smith; Griffin Mooers; Milan Klöwer; James Lottes; Stephan Rasp 001; Peter D. Düben; Sam Hatfield; Peter W. Battaglia; et al. (Nat., 2024)