Search Results for author: Jonathan A. Weyn

Found 3 papers, 2 papers with code

Sub-seasonal forecasting with a large ensemble of deep-learning weather prediction models

no code implementations9 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.

Improving data-driven global weather prediction using deep convolutional neural networks on a cubed sphere

1 code implementation15 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.

Weather Forecasting

WeatherBench: A benchmark dataset for data-driven weather forecasting

3 code implementations2 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.

Weather Forecasting

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