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subject: BIOGEOSCIENCES: Biogeochemical cycles, processes, and modeling, Biogeochemical kinetics and reaction modeling; COMPUTATIONAL GEOPHYSICS: Neural networks, fuzzy logic, machine learning; CRYOSPHERE: Biogeochemistry; GLOBAL CHANGE: Biogeochemical cycles, processes, and modeling; INFORMATICS: Machine learning; OCEANOGRAPHY: BIOLOGICAL AND CHEMICAL: Biogeochemical cycles, processes, and modeling; PALEOCEANOGRAPHY: Biogeochemical cycles, processes, and modeling
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dc:title: Effect of spatial sampling from European flux towers for estimating carbon and water fluxes with artificial neural networks
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cp:subject: BIOGEOSCIENCES: Biogeochemical cycles, processes, and modeling, Biogeochemical kinetics and reaction modeling; COMPUTATIONAL GEOPHYSICS: Neural networks, fuzzy logic, machine learning; CRYOSPHERE: Biogeochemistry; GLOBAL CHANGE: Biogeochemical cycles, processes, and modeling; INFORMATICS: Machine learning; OCEANOGRAPHY: BIOLOGICAL AND CHEMICAL: Biogeochemical cycles, processes, and modeling; PALEOCEANOGRAPHY: Biogeochemical cycles, processes, and modeling
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Author: Dario Papale, T. Andrew Black, Nuno Carvalhais, Alessandro Cescatti, Jiquan Chen, Martin Jung, Gerard Kiely, Gitta Lasslop, Miguel D. Mahecha, Hank Margolis, Lutz Merbold, Leonardo Montagnani, Eddy Moors, Jřrgen E. Olesen, Markus Reichstein, Gianluca Tramontana, Eva Gorsel, Georg Wohlfahrt, Botond Ráduly
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Keywords: 10.1002/2015JG002997 and upscaling; representativeness; gross primary production; latent heat; uncertainty; artificial neural networks
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description: BIOGEOSCIENCES: Biogeochemical cycles, processes, and modeling, Biogeochemical kinetics and reaction modeling; COMPUTATIONAL GEOPHYSICS: Neural networks, fuzzy logic, machine learning; CRYOSPHERE: Biogeochemistry; GLOBAL CHANGE: Biogeochemical cycles, processes, and modeling; INFORMATICS: Machine learning; OCEANOGRAPHY: BIOLOGICAL AND CHEMICAL: Biogeochemical cycles, processes, and modeling; PALEOCEANOGRAPHY: Biogeochemical cycles, processes, and modeling
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title: Effect of spatial sampling from European flux towers for estimating carbon and water fluxes with artificial neural networks
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