Correcting a 200 km Resolution Climate Model in Multiple Climates by Machine Learning From 25 km Resolution Simulations-Reference-Cited by-同舟云学术

Correcting a 200 km Resolution Climate Model in Multiple Climates by Machine Learning From 25 km Resolution Simulations

Published:2022-09 Issue:9 Volume:14 Page:
ISSN:1942-2466
Container-title:Journal of Advances in Modeling Earth Systems
language:en
Short-container-title:J Adv Model Earth Syst

Author:

Clark Spencer K.¹²^ORCID,Brenowitz Noah D.¹^ORCID,Henn Brian¹^ORCID,Kwa Anna¹^ORCID,McGibbon Jeremy¹^ORCID,Perkins W. Andre¹^ORCID,Watt‐Meyer Oliver¹^ORCID,Bretherton Christopher S.¹^ORCID,Harris Lucas M.²^ORCID

Affiliation:

1. Allen Institute for Artificial Intelligence Seattle WA USA

2. Geophysical Fluid Dynamics Laboratory NOAA Princeton NJ USA

Funder

Allen Institute for Artificial Intelligence

Publisher

American Geophysical Union (AGU)

Subject

General Earth and Planetary Sciences,Environmental Chemistry,Global and Planetary Change

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2022MS003219

Reference47 articles.

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4. Beucler T. Pritchard M. Yuval J. Gupta A. Peng L. Rasp S. et al. (2021).Climate‐invariant machine learning. arXiv:2112.08440 [physics].

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