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

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.

Advancing Parsimonious Deep Learning Weather Prediction using the HEALPix Mesh

no code implementations • 11 Sep 2023 • Matthias Karlbauer, Nathaniel Cresswell-Clay, Raul A. Moreno, Dale R. Durran, Thorsten Kurth, Martin V. Butz

We present a parsimonious deep learning weather prediction model on the Hierarchical Equal Area isoLatitude Pixelization (HEALPix) to forecast seven atmospheric variables for arbitrarily long lead times on a global approximately 110 km mesh at 3h time resolution.