Water, Energy, and Carbon with Artificial Neural Networks (WECANN): A statistically-based estimate of global surface turbulent fluxes and gross primary productivity using solar-induced fluorescence

Biogeosciences, 2017-09, Vol.14 (18), p.4101-4124 [Peer Reviewed Journal]

COPYRIGHT 2017 Copernicus GmbH ;Copyright Copernicus GmbH 2017 ;2017. This work is published under https://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;Attribution ;ISSN: 1726-4170 ;ISSN: 1726-4189 ;EISSN: 1726-4189 ;DOI: 10.5194/bg-14-4101-2017 ;PMID: 29290755

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