no code implementations • 22 Mar 2024 • Jonathan A. Weyn, Divya Kumar, Jeremy Berman, Najeeb Kazmi, Sylwester Klocek, Pete Luferenko, Kit Thambiratnam
We present an operations-ready multi-model ensemble weather forecasting system which uses hybrid data-driven weather prediction models coupled with the European Centre for Medium-range Weather Forecasts (ECMWF) ocean model to predict global weather at 1-degree resolution for 4 weeks of lead time.
no code implementations • 9 Feb 2021 • Jonathan A. Weyn, Dale R. Durran, Rich Caruana, Nathaniel Cresswell-Clay
Current forecast systems have low skill in predicting one- or 2-week-average weather patterns at S2S time scales.
1 code implementation • 15 Mar 2020 • Jonathan A. Weyn, Dale R. Durran, Rich Caruana
The cubed-sphere remapping minimizes the distortion on the cube faces on which convolution operations are performed and provides natural boundary conditions for padding in the CNN.
3 code implementations • 2 Feb 2020 • Stephan Rasp, Peter D. Dueben, Sebastian Scher, Jonathan A. Weyn, Soukayna Mouatadid, Nils Thuerey
Data-driven approaches, most prominently deep learning, have become powerful tools for prediction in many domains.