Sub‐Seasonal Forecasting With a Large Ensemble of Deep‐Learning Weather Prediction Models

Sub‐Seasonal Forecasting With a Large Ensemble of Deep‐Learning Weather Prediction Models

Abstract We present an ensemble prediction system using a Deep Learning Weather Prediction (DLWP) model that recursively predicts six key atmospheric variables with six‐hour time resolution. This computationally efficient model uses convolutional neural networks (CNNs) on a cubed sphere grid to prod...

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Bibliographic Details
Main Authors: Jonathan A. Weyn, Dale R. Durran, Rich Caruana, Nathaniel Cresswell‐Clay
Format: Article
Language:English
Published: American Geophysical Union (AGU) 2021-07-01
Series:Journal of Advances in Modeling Earth Systems
Subjects:
Deep learning
machine learning
NWP
S2S
Online Access:https://doi.org/10.1029/2021MS002502

Internet

https://doi.org/10.1029/2021MS002502

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