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Accurate Machine-learning Atmospheric Retrieval via a Neural-network Surrogate Model for Radiative Transfer
External Source
chorus
Document Type
Version of Record
Authors
Michael D. Himes
Joseph Harrington
Adam D. Cobb
Atılım Güneş Baydin
Frank Soboczenski
Molly D. O’Beirne
Simone Zorzan
David C. Wright
Zacchaeus Scheffer
Shawn D. Domagal-Goldman
Giada N. Arney
Date Acquired
February 10, 2024
Publication Date
April 25, 2022
Publication Information
Publication: The Planetary Science Journal
Publisher: American Astronomical Society
Volume: 3
Issue: 4
Issue Publication Date: April 1, 2022
e-ISSN: 2632-3338
DOI: 10.3847/psj/abe3fd
Funding Number(s)
funding: 80NSSC20K0682
funding: NNX17AB62G
Distribution Limits
Public
Keywords
space and planetary science
earth and planetary sciences (miscellaneous)
geophysics
astronomy and astrophysics

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