Predicting carbon dioxide and energy fluxes across global FLUXNET sites with regression algorithms

Biogeosciences

Volumn 13, Issue 14, 2016, Pages 4291-4313

  Tramontana, Gianluca ^a   Jung, Martin ^b   Schwalm, Christopher R ^c   Ichii, Kazuhito ^d,e   Camps Valls, Gustau ^f   Ráduly, Botond ^a,g   Reichstein, Markus ^b   Arain, M Altaf ^h   Cescatti, Alessandro ⁱ   Kiely, Gerard ^j   Merbold, Lutz ^k,l   Serrano Ortiz, Penelope ^m   Sickert, Sven ⁿ   Wolf, Sebastian ^k   Papale, Dario ^a  

^a UNIVERSITY OF TUSCIA   (Italy)

^b MAX PLANCK INSTITUTE FOR BIOGEOCHEMISTRY   (Germany)

^c WOODS HOLE RESEARCH CENTER   (United States)

^d JAPAN AGENCY FOR MARINE EARTH SCIENCE AND TECHNOLOGY   (Japan)

^e NATIONAL INSTITUTE FOR ENVIRONMENTAL STUDIES   (Japan)

^f UNIVERSITY OF VALENCIA   (Spain)

^g SAPIENTIA HUNGARIAN UNIVERSITY OF TRANSYLVANIA   (Romania)

^h MCMASTER UNIVERSITY   (Canada)

ⁱ JOINT RESEARCH CENTRE   (Italy)

^j UNIVERSITY COLLEGE CORK   (Ireland)

^k ETH ZURICH   (Switzerland)

^l INTERNATIONAL LIVESTOCK RESEARCH INSTITUTE   (Kenya)

^m UNIVERSITY OF GRANADA   (Spain)

ⁿ FRIEDRICH SCHILLER UNIVERSITY JENA   (Germany)

more..

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; CARBON DIOXIDE; EDDY COVARIANCE; ENERGY FLUX; EXPERIMENTAL STUDY; MACHINE LEARNING; NET ECOSYSTEM EXCHANGE; NET RADIATION; PREDICTION; PRIMARY PRODUCTION; REGRESSION ANALYSIS; REMOTE SENSING; RESPIRATION; SENSIBLE HEAT FLUX;

EID: 84980351826     PISSN: 17264170     EISSN: 17264189     Source Type: Journal    
DOI: 10.5194/bg-13-4291-2016     Document Type: Article

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