Effect of spatial sampling from European flux towers for estimating carbon and water fluxes with artificial neural networks

Journal of Geophysical Research: Biogeosciences

Volumn 120, Issue 10, 2015, Pages 1941-1957

  Papale, Dario ^a,b   Black, T Andrew ^c   Carvalhais, Nuno ^d,e   Cescatti, Alessandro ^f   Chen, Jiquan ^g   Jung, Martin ^d   Kiely, Gerard ^h   Lasslop, Gitta ⁱ   Mahecha, Miguel D ^d   Margolis, Hank ^j   Merbold, Lutz ^k   Montagnani, Leonardo ^l,m   Moors, Eddy ^n,o   Olesen, Jørgen E ^p   Reichstein, Markus ^d   Tramontana, Gianluca ^a   Van Gorsel, Eva ^q   Wohlfahrt, Georg ^r,s   Ráduly, Botond ^t  

^a UNIVERSITY OF TUSCIA   (Italy)

^b CzechGlobe   (Czech Republic)

^c UNIVERSITY OF BRITISH COLUMBIA   (Canada)

^d MAX PLANCK INSTITUTE FOR BIOGEOCHEMISTRY   (Germany)

^e UNIVERSIDADE NOVA DE LISBOA   (Portugal)

^f JOINT RESEARCH CENTRE   (Italy)

^g MICHIGAN STATE UNIVERSITY   (United States)

^h UNIVERSITY COLLEGE CORK   (Ireland)

ⁱ MAX PLANCK INSTITUTE FOR METEOROLOGY   (Germany)

^j UNIVERSITÉ LAVAL   (Canada)

^k ETH ZURICH   (Switzerland)

^l Forest Services   (Italy)

^m FREE UNIVERSITY OF BOZEN BOLZANO   (Italy)

ⁿ WAGENINGEN UNIVERSITY   (Netherlands)

^o VU UNIVERSITY AMSTERDAM   (Netherlands)

^p AARHUS UNIVERSITY   (Denmark)

^q CSIRO   (Australia)

^r UNIVERSITY OF INNSBRUCK   (Austria)

^s INSTITUTE FOR RENEWABLE ENERGY   (Italy)

^t SAPIENTIA HUNGARIAN UNIVERSITY OF TRANSYLVANIA   (Romania)

more..

Author keywords

artificial neural networks; gross primary production; latent heat; representativeness; uncertainty; upscaling

Indexed keywords

ARTIFICIAL NEURAL NETWORK; CARBON FLUX; EDDY COVARIANCE; EMPIRICAL ANALYSIS; ENERGY FLUX; ERROR ANALYSIS; FLUX MEASUREMENT; INPUT-OUTPUT ANALYSIS; LATENT HEAT FLUX; PRIMARY PRODUCTION; SAMPLING; SPATIAL VARIATION; UNCERTAINTY ANALYSIS; UPSCALING; WATER FLOW;

EUROPE;

EID: 84955183903     PISSN: 21698953     EISSN: 21698961     Source Type: Journal    
DOI: 10.1002/2015JG002997     Document Type: Article

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