Correcting Weather and Climate Models by Machine Learning Nudged Historical Simulations-Reference-Cited by-同舟云学术

Correcting Weather and Climate Models by Machine Learning Nudged Historical Simulations

Published:2021-08 Issue:15 Volume:48 Page:
ISSN:0094-8276
Container-title:Geophysical Research Letters
language:en
Short-container-title:Geophys Res Lett

Author:

Watt‐Meyer Oliver¹²^ORCID,Brenowitz Noah D.¹^ORCID,Clark Spencer K.¹³^ORCID,Henn Brian¹^ORCID,Kwa Anna¹,McGibbon Jeremy¹^ORCID,Perkins W. Andre¹^ORCID,Bretherton Christopher S.¹⁴^ORCID

Affiliation:

1. Vulcan Inc. Seattle WA USA

2. Now at Allen Institute for Artificial Intelligence Seattle WA USA

3. Geophysical Fluid Dynamics Laboratory NOAA Princeton NJ USA

4. Department of Atmospheric Sciences University of Washington Seattle WA USA

Funder

Vulcan

Publisher

American Geophysical Union (AGU)

Subject

General Earth and Planetary Sciences,Geophysics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2021GL092555

Reference42 articles.

1. Computational Design of the Basic Dynamical Processes of the UCLA General Circulation Model

2. The GloSea4 Ensemble Prediction System for Seasonal Forecasting

3. Machine Learning for Model Error Inference and Correction

4. Interpreting and Stabilizing Machine-Learning Parametrizations of Convection

5. Prognostic Validation of a Neural Network Unified Physics Parameterization

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