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Title: Listening to the Forest: An Artificial Neural Network‐Based Model of Carbon Uptake at Harvard Forest

ORCiD logo [1]; ORCiD logo [2]; ORCiD logo [2]; ORCiD logo [2]; ORCiD logo [2]
  1. Physics DepartmentBard College Annandale‐on‐Hudson NY USA
  2. Department of Earth and Planetary Sciences and School of Engineering and Applied SciencesHarvard University Cambridge MA USA
Publication Date:
Sponsoring Org.:
OSTI Identifier:
Alternate Identifier(s):
OSTI ID: 1547803
Grant/Contract Number:  
Resource Type:
Published Article
Journal Name:
Journal of Geophysical Research. Biogeosciences
Additional Journal Information:
Journal Name: Journal of Geophysical Research. Biogeosciences Journal Volume: 124 Journal Issue: 3; Journal ID: ISSN 2169-8953
American Geophysical Union (AGU)
Country of Publication:
United States

Citation Formats

Eshel, Gidon, Dayalu, Archana, Wofsy, Steven C., Munger, J. William, and Tziperman, Eli. Listening to the Forest: An Artificial Neural Network‐Based Model of Carbon Uptake at Harvard Forest. United States: N. p., 2019. Web. doi:10.1029/2018JG004791.
Eshel, Gidon, Dayalu, Archana, Wofsy, Steven C., Munger, J. William, & Tziperman, Eli. Listening to the Forest: An Artificial Neural Network‐Based Model of Carbon Uptake at Harvard Forest. United States. doi:
Eshel, Gidon, Dayalu, Archana, Wofsy, Steven C., Munger, J. William, and Tziperman, Eli. Sat . "Listening to the Forest: An Artificial Neural Network‐Based Model of Carbon Uptake at Harvard Forest". United States. doi:
title = {Listening to the Forest: An Artificial Neural Network‐Based Model of Carbon Uptake at Harvard Forest},
author = {Eshel, Gidon and Dayalu, Archana and Wofsy, Steven C. and Munger, J. William and Tziperman, Eli},
abstractNote = {},
doi = {10.1029/2018JG004791},
journal = {Journal of Geophysical Research. Biogeosciences},
number = 3,
volume = 124,
place = {United States},
year = {2019},
month = {3}

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