Stephan Rasp - RankMe

14 papers A 1C 1Journal 12

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	An Operational Deep Learning System for Satellite-Based High-Resolution Global Nowcasting. CoRR Shreya Agrawal, Mohammed Alewi Hassen, Emmanuel Asiedu Brempong, Boris Babenko, Fred Zyda, Olivia Graham, Di Li, Samier Merchant, Santiago Hincapie Potes, Tyler Russell, Danny Cheresnick, Aditya Prakash Kakkirala, Stephan Rasp, Avinatan Hassidim, Yossi Matias, Nal Kalchbrenner, Pramod Gupta, Jason Hickey, Aaron Bell
2024	J	`jnl`	Neural general circulation models for weather and climate. Nat. Dmitrii Kochkov, Janni Yuval, Ian Langmore, Peter C. Norgaard, Jamie A. Smith, Griffin Mooers, Milan Klöwer, James Lottes, Stephan Rasp, Peter D. Düben, Sam Hatfield, Peter W. Battaglia, Alvaro Sanchez-Gonzalez, Matthew Willson, Michael P. Brenner, Stephan Hoyer
2023	J	`jnl`	Neural General Circulation Models. CoRR Dmitrii Kochkov, Janni Yuval, Ian Langmore, Peter C. 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
2023	J	`jnl`	WeatherBench 2: A benchmark for the next generation of data-driven global weather models. CoRR 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
2022	A	`conf`	Increasing the accuracy and resolution of precipitation forecasts using deep generative models. AISTATS Ilan Price, Stephan Rasp
2022	J	`jnl`	Increasing the accuracy and resolution of precipitation forecasts using deep generative models. CoRR Ilan Price, Stephan Rasp
2022	J	`jnl`	WeatherBench Probability: A benchmark dataset for probabilistic medium-range weather forecasting along with deep learning baseline models. CoRR Sagar Garg, Stephan Rasp, Nils Thuerey
2021	J	`jnl`	Climate-Invariant Machine Learning. CoRR 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
2020	C	`conf`	Towards Physically-Consistent, Data-Driven Models of Convection. IGARSS Tom Beucler, Michael S. Pritchard, Pierre Gentine, Stephan Rasp
2020	J	`jnl`	Towards Physically-consistent, Data-driven Models of Convection. CoRR Tom Beucler, Michael S. Pritchard, Pierre Gentine, Stephan Rasp
2019	J	`jnl`	Achieving Conservation of Energy in Neural Network Emulators for Climate Modeling. CoRR Tom Beucler, Stephan Rasp, Michael S. Pritchard, Pierre Gentine
2019	J	`jnl`	Combining crowd-sourcing and deep learning to understand meso-scale organization of shallow convection. CoRR Stephan Rasp, Hauke Schulz, Sandrine Bony, Bjorn Stevens
2018	J	`jnl`	Deep learning to represent sub-grid processes in climate models. CoRR Stephan Rasp, Michael S. Pritchard, Pierre Gentine
2018	J	`jnl`	Neural networks for post-processing ensemble weather forecasts. CoRR Stephan Rasp, Sebastian Lerch