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Listening to the Forest: An Artificial Neural Network‐Based Model of Carbon Uptake at Harvard Forest
External Source
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Document Type
Version of Record
Authors
Gidon Eshel (Physics Department Bard College Annandale‐on‐Hudson NY USA)
Archana Dayalu (Department of Earth and Planetary Sciences and School of Engineering and Applied Sciences Harvard University Cambridge MA USA)
Steven C. Wofsy (Department of Earth and Planetary Sciences and School of Engineering and Applied Sciences Harvard University Cambridge MA USA)
J. William Munger (Department of Earth and Planetary Sciences and School of Engineering and Applied Sciences Harvard University Cambridge MA USA)
Eli Tziperman (Department of Earth and Planetary Sciences and School of Engineering and Applied Sciences Harvard University Cambridge MA USA)
Date Acquired
October 7, 2024
Publication Date
February 3, 2019
Publication Information
Publication: Journal of Geophysical Research: Biogeosciences
Publisher: American Geophysical Union (AGU)
Volume: 124
Issue: 3
Issue Publication Date: March 1, 2019
ISSN: 2169-8953
e-ISSN: 2169-8961
DOI: 10.1029/2018jg004791
Funding Number(s)
funding: DE-AC02-05CH11231
funding: FP062796-A
Distribution Limits
Public

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