SR
Stephan Rasp
physics.ao-phcs.LGphysics.comp-phstat.MLstat.APAtmospheric Sciencesclimate modelingconvectioncs.AIcs.CV
On Valency
published · living versionsW_rsyunb62·v1 · currentpublished
WeatherNext 3: Increasing resolution and performance of global weather models with raw observations
with Boris Babenko, Dominic Masters, Andrew El-Kadi, Samier Merchant +20
1 version
Preprints & journals
18 papers in the corpus · 2018–2026WeatherNext 3: Increasing resolution and performance of global weather models with raw observations2609.03582v1 · Stephan Rasp, Boris Babenko, Dominic Masters et al.2026 · 0 citationsarXivon Valency
An Operational Deep Learning System for Satellite-Based High-Resolution Global Nowcasting2510.13050v1 · Shreya Agrawal, Mohammed Alewi Hassen, Emmanuel Asiedu Brempong et al.2025 · 0 citationsarXiv
Neural general circulation models for weather and climate.39039241 · Kochkov, Dmitrii, Yuval, Janni, Langmore, Ian et al.2024 · 452 citationsNature. 2024;632(8027):1060-1066
Climate-invariant machine learning.38324696 · Beucler, Tom, Gentine, Pierre, Yuval, Janni et al.2024 · 100 citationsScience advances. 2024;10(6):eadj7250
WeatherBench 2: A benchmark for the next generation of data-driven global weather models2308.15560v2 · Stephan Rasp, Stephan Hoyer, Alexander Merose et al.2023 · 240 citationsarXiv
The role of internal variability in global climate projections of extreme events2208.08275v1 · Mackenzie L. Blanusa, Carla J. L'opez-Zurita, Stephan Rasp2022 · 1 citationarXiv
WeatherBench Probability: A benchmark dataset for probabilistic medium-range weather forecasting along with deep learning baseline models2205.00865v1 · Sagar Garg, Stephan Rasp, Nils Thuerey2022 · 21 citationsarXiv
Increasing the accuracy and resolution of precipitation forecasts using deep generative models2203.12297v1 · Ilan Price, Stephan Rasp2022 · 39 citationsarXiv
Climate-Invariant Machine Learning2112.08440v5 · Tom Beucler, Pierre Gentine, Janni Yuval et al.2021 · 23 citationsarXiv
Enforcing Analytic Constraints in Neural Networks Emulating Physical Systems.33750168 · Beucler, Tom, Pritchard, Michael, Rasp, Stephan et al.2021 · 448 citationsPhysical review letters. 2021;126(9):098302
Data-driven medium-range weather prediction with a Resnet pretrained on climate simulations: A new model for WeatherBench2008.08626v2 · Stephan Rasp, Nils Thuerey2020 · 239 citationsarXiv
Towards Physically-consistent, Data-driven Models of Convection2002.08525v2 · Tom Beucler, Michael Pritchard, Pierre Gentine et al.2020 · 53 citationsarXiv
Coupled online learning as a way to tackle instabilities and biases in neural network parameterizations1907.01351v4 · Stephan Rasp2019 · 115 citationsarXiv
Achieving Conservation of Energy in Neural Network Emulators for Climate Modeling1906.06622v1 · Tom Beucler, Stephan Rasp, Michael Pritchard et al.2019 · 93 citationsarXiv
Combining crowd-sourcing and deep learning to explore the meso-scale organization of shallow convection1906.01906v3 · Stephan Rasp, Hauke Schulz, Sandrine Bony et al.2019 · 93 citationsarXiv
Deep learning to represent subgrid processes in climate models.30190437 · Rasp, Stephan, Pritchard, Michael S, Gentine, Pierre2018 · 1,044 citationsProceedings of the National Academy of Sciences of the United States of America. 2018;115(39):9684-9689
Neural networks for post-processing ensemble weather forecasts1805.09091v1 · Stephan Rasp, Sebastian Lerch2018 · 516 citationsMonthly Weather Review 2018, 146, 3885-3900
Could machine learning break the convection parametrization deadlock?hv95e · Pierre Gentine, Mike Pritchard, Stephan Rasp et al.2018 · 2 citationsEarthArXiv
Career total: 92 works. 18 are in this corpus.
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