Neural networks for post-processing ensemble weather forecasts. - Stephan Rasp 001; Sebastian Lerch (CoRR, 2018)

Deep learning to represent sub-grid processes in climate models. - Stephan Rasp 001; Michael S. Pritchard; Pierre Gentine (CoRR, 2018)

Combining crowd-sourcing and deep learning to understand meso-scale organization of shallow convection. - Stephan Rasp 001; Hauke Schulz; Sandrine Bony; Bjorn Stevens (CoRR, 2019)

Achieving Conservation of Energy in Neural Network Emulators for Climate Modeling. - Tom Beucler; Stephan Rasp 001; Michael S. Pritchard; Pierre Gentine (CoRR, 2019)

Towards Physically-Consistent, Data-Driven Models of Convection. - Tom Beucler; Michael S. Pritchard; Pierre Gentine; Stephan Rasp 001 (IGARSS, 2020)

Climate-Invariant Machine Learning. - Tom Beucler; Michael S. Pritchard; Janni Yuval; Ankitesh Gupta; Liran Peng; Stephan Rasp 001; Fiaz Ahmed; Paul A. O'Gorman; J. David Neelin; Nicholas J. Lutsko; Pierre Gentine (CoRR, 2021)

Increasing the accuracy and resolution of precipitation forecasts using deep generative models. - Ilan Price; Stephan Rasp 001 (AISTATS, 2022)

WeatherBench Probability: A benchmark dataset for probabilistic medium-range weather forecasting along with deep learning baseline models. - Sagar Garg; Stephan Rasp 001; Nils Thuerey (CoRR, 2022)

WeatherBench 2: A benchmark for the next generation of data-driven global weather models. - Stephan Rasp 001; Stephan Hoyer; Alexander Merose; Ian Langmore; Peter W. Battaglia; Tyler Russell; Alvaro Sanchez-Gonzalez; Vivian Yang; Rob Carver; Shreya Agrawal; Matthew Chantry; Zied Ben Bouallegue; 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)

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)