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

A new global estimate of surface turbulent fluxes, latent heat flux (LE) and sensible heat flux (H), and gross primary production (GPP) is developed using a machine learning approach informed by novel remotely sensed Solar-Induced Fluorescence (SIF) and other radiative and meteorological variables....

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Detalhes bibliográficos
Publicado no:Biogeosciences
Main Authors: Alemohammad, Seyed Hamed, Fang, Bin, Konings, Alexandra G., Aires, Filipe, Green, Julia K., Kolassa, Jana, Miralles, Diego, Prigent, Catherine, Gentine, Pierre
Formato: Artigo
Idioma:Inglês
Publicado em: 2017
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Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC5744880/
https://ncbi.nlm.nih.gov/pubmed/29290755
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.5194/bg-14-4101-2017
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