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Stephan Rasp 0001
Person information
- affiliation: ClimateAi, Inc
- affiliation: Technical University of Munich, Germany
- affiliation: Ludwig Maximilians University of Munich, Meteorological Institute, Germany
Other persons with the same name
- Stephan Rasp — disambiguation page
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2020 – today
- 2024
- [j1]Dmitrii Kochkov
, Janni Yuval
Neural general circulation models for weather and climate. Nat. 632(8027): 1060-1066 (2024) - 2023
- [i10]Stephan Rasp, 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, Peter Dueben, Carla Bromberg, Jared Sisk, Luke Barrington, Aaron Bell, Fei Sha:
WeatherBench 2: A benchmark for the next generation of data-driven global weather models. CoRR abs/2308.15560 (2023) - [i9]Dmitrii Kochkov, Janni Yuval, Ian Langmore, Peter C. Norgaard, Jamie A. Smith, Griffin Mooers, James Lottes, Stephan Rasp, Peter D. Düben, Milan Klöwer
Neural General Circulation Models. CoRR abs/2311.07222 (2023) - 2022
- [c2]Ilan Price, Stephan Rasp:
Increasing the accuracy and resolution of precipitation forecasts using deep generative models. AISTATS 2022: 10555-10571 - [i8]Ilan Price, Stephan Rasp:
Increasing the accuracy and resolution of precipitation forecasts using deep generative models. CoRR abs/2203.12297 (2022) - [i7]Sagar Garg
WeatherBench Probability: A benchmark dataset for probabilistic medium-range weather forecasting along with deep learning baseline models. CoRR abs/2205.00865 (2022) - 2021
- [i6]Tom Beucler, Michael S. Pritchard, Janni Yuval, Ankitesh Gupta, Liran Peng, Stephan Rasp, Fiaz Ahmed, Paul A. O'Gorman, J. David Neelin, Nicholas J. Lutsko, Pierre Gentine:
Climate-Invariant Machine Learning. CoRR abs/2112.08440 (2021) - 2020
- [c1]Tom Beucler, Michael S. Pritchard, Pierre Gentine, Stephan Rasp:
Towards Physically-Consistent, Data-Driven Models of Convection. IGARSS 2020: 3987-3990 - [i5]Tom Beucler, Michael S. Pritchard, Pierre Gentine, Stephan Rasp:
Towards Physically-consistent, Data-driven Models of Convection. CoRR abs/2002.08525 (2020)
2010 – 2019
- 2019
- [i4]Stephan Rasp, Hauke Schulz, Sandrine Bony, Bjorn Stevens:
Combining crowd-sourcing and deep learning to understand meso-scale organization of shallow convection. CoRR abs/1906.01906 (2019) - [i3]Tom Beucler
Achieving Conservation of Energy in Neural Network Emulators for Climate Modeling. CoRR abs/1906.06622 (2019) - 2018
- [i2]Stephan Rasp, Sebastian Lerch:
Neural networks for post-processing ensemble weather forecasts. CoRR abs/1805.09091 (2018) - [i1]Stephan Rasp, Michael S. Pritchard, Pierre Gentine:
Deep learning to represent sub-grid processes in climate models. CoRR abs/1806.04731 (2018)
Coauthor Index
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