Toward Stable, General Machine‐Learned Models of the Atmospheric Chemical System-Reference-Cited by-同舟云学术

Toward Stable, General Machine‐Learned Models of the Atmospheric Chemical System

Published:2020-12-02 Issue:23 Volume:125 Page:
ISSN:2169-897X
Container-title:Journal of Geophysical Research: Atmospheres
language:en
Short-container-title:J. Geophys. Res. Atmos.

Author:

Kelp Makoto M.¹^ORCID,Jacob Daniel J.¹,Kutz J. Nathan²,Marshall Julian D.³,Tessum Christopher W.⁴^ORCID

Affiliation:

1. Department of Earth and Planetary Sciences Harvard University Cambridge MA USA

2. Department of Applied Mathematics University of Washington Seattle WA USA

3. Department of Civil and Environmental Engineering University of Washington Seattle WA USA

4. Department of Civil and Environmental Engineering University of Illinois at Urbana‐Champaign Urbana IL USA

Funder

U.S. Environmental Protection Agency

Publisher

American Geophysical Union (AGU)

Subject

Space and Planetary Science,Earth and Planetary Sciences (miscellaneous),Atmospheric Science,Geophysics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2020JD032759

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