Stephan Rasp

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 11

Top Topics

Baseline Models

Weather Forecasts

Invariance Properties

Top Venues

Publications

Dmitrii Kochkov, Janni Yuval, Ian Langmore, Peter Norgaard, Jamie A. Smith, Griffin Mooers, James Lottes, Stephan Rasp, Peter D. Düben, Milan Klöwer, Sam Hatfield, Peter W. Battaglia, Alvaro Sanchez-Gonzalez, Matthew Willson, Michael P. Brenner, Stephan Hoyer
Neural General Circulation Models. CoRR (2023)
Ilan Price, Stephan Rasp
Increasing the accuracy and resolution of precipitation forecasts using deep generative models. CoRR (2022)
Ilan Price, Stephan Rasp
Increasing the accuracy and resolution of precipitation forecasts using deep generative models. AISTATS (2022)
Sagar Garg, Stephan Rasp, Nils Thuerey
WeatherBench Probability: A benchmark dataset for probabilistic medium-range weather forecasting along with deep learning baseline models. CoRR (2022)
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 (2021)
Tom Beucler, Michael S. Pritchard, Pierre Gentine, Stephan Rasp
Towards Physically-Consistent, Data-Driven Models of Convection. IGARSS (2020)
Tom Beucler, Michael S. Pritchard, Pierre Gentine, Stephan Rasp
Towards Physically-consistent, Data-driven Models of Convection. CoRR (2020)
Stephan Rasp, Hauke Schulz, Sandrine Bony, Bjorn Stevens
Combining crowd-sourcing and deep learning to understand meso-scale organization of shallow convection. CoRR (2019)
Tom Beucler, Stephan Rasp, Michael S. Pritchard, Pierre Gentine
Achieving Conservation of Energy in Neural Network Emulators for Climate Modeling. CoRR (2019)
Stephan Rasp, Sebastian Lerch
Neural networks for post-processing ensemble weather forecasts. CoRR (2018)
Stephan Rasp, Michael S. Pritchard, Pierre Gentine
Deep learning to represent sub-grid processes in climate models. CoRR (2018)