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

Autor:	Alemohammad, S.H., Fang, B., Konings, A.G., Green, J.K., Kolassa, J., Prigent, C., Aires, F., Gonzalez Miralles, D., Gentine, P.
Přispěvatelé:	Earth and Climate, Amsterdam Global Change Institute
Jazyk:	angličtina
Rok vydání:	2016
Zdroj:	Biogeosciences Discussions, 1-36. European Geosciences Union STARTPAGE=1;ENDPAGE=36;ISSN=1810-6285;TITLE=Biogeosciences Discussions Alemohammad, S H, Fang, B, Konings, A G, Green, J K, Kolassa, J, Prigent, C, Aires, F, Gonzalez Miralles, D & Gentine, P 2016, ' Water, Energy, and Carbon with Artificial Neural Networks (WECANN): A statistically-based estimate of global surface turbulent fluxes using solar-induced fluorescence ', Biogeosciences Discussions, pp. 1-36 . https://doi.org/10.5194/bg-2016-495-supplement
ISSN:	1810-6285
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::1d4c16ba315eb95349fe43c2af87d004 https://research.vu.nl/en/publications/9936ce90-e3e8-41ae-a582-5832fc2dabf0 Zobrazit plný text záznamu