Please use this identifier to cite or link to this item: http://hdl.handle.net/2067/47384
Title: The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data
Authors: Pastorello, Gilberto
Trotta, Carlo
Canfora, Eleonora
Chu, Housen
Christianson, Danielle
Cheah, You-Wei
Poindexter, Cristina
Chen, Jiquan
Elbashandy, Abdelrahman
Humphrey, Marty
Isaac, Peter
Polidori, Diego
Reichstein, Markus
Ribeca, Alessio
van Ingen, Catharine
Vuichard, Nicolas
Zhang, Leiming
Amiro, Brian
Ammann, Christof
Arain, M Altaf
Ardö, Jonas
Arkebauer, Timothy
Arndt, Stefan K
Arriga, Nicola
Aubinet, Marc
Aurela, Mika
Baldocchi, Dennis
Barr, Alan
Beamesderfer, Eric
Marchesini, Luca Belelli
Bergeron, Onil
Beringer, Jason
Bernhofer, Christian
Berveiller, Daniel
Billesbach, Dave
Black, Thomas Andrew
Blanken, Peter D
Bohrer, Gil
Boike, Julia
Bolstad, Paul V
Bonal, Damien
Bonnefond, Jean-Marc
Bowling, David R
Bracho, Rosvel
Brodeur, Jason
Brümmer, Christian
Buchmann, Nina
Burban, Benoit
Burns, Sean P
Buysse, Pauline
Cale, Peter
Cavagna, Mauro
Cellier, Pierre
Chen, Shiping
Chini, Isaac
Christensen, Torben R
Cleverly, James
Collalti, Alessio
Consalvo, Claudia
Cook, Bruce D
Cook, David
Coursolle, Carole
Cremonese, Edoardo
Curtis, Peter S
D'Andrea, Ettore
da Rocha, Humberto
Dai, Xiaoqin
Davis, Kenneth J
Cinti, Bruno De
Grandcourt, Agnes de
Ligne, Anne De
De Oliveira, Raimundo C
Delpierre, Nicolas
Desai, Ankur R
Di Bella, Carlos Marcelo
Tommasi, Paul di
Dolman, Han
Domingo, Francisco
Dong, Gang
Dore, Sabina
Duce, Pierpaolo
Dufrêne, Eric
Dunn, Allison
Dušek, Jiří
Eamus, Derek
Eichelmann, Uwe
ElKhidir, Hatim Abdalla M
Eugster, Werner
Ewenz, Cacilia M
Ewers, Brent
Famulari, Daniela
Fares, Silvano
Feigenwinter, Iris
Feitz, Andrew
Fensholt, Rasmus
Filippa, Gianluca
Fischer, Marc
Frank, John
Galvagno, Marta
Gharun, Mana
Gianelle, Damiano
Gielen, Bert
Gioli, Beniamino
Gitelson, Anatoly
Goded, Ignacio
Goeckede, Mathias
Goldstein, Allen H
Gough, Christopher M
Goulden, Michael L
Graf, Alexander
Griebel, Anne
Gruening, Carsten
Grünwald, Thomas
Hammerle, Albin
Han, Shijie
Han, Xingguo
Hansen, Birger Ulf
Hanson, Chad
Hatakka, Juha
He, Yongtao
Hehn, Markus
Heinesch, Bernard
Hinko-Najera, Nina
Hörtnagl, Lukas
Hutley, Lindsay
Ibrom, Andreas
Ikawa, Hiroki
Jackowicz-Korczynski, Marcin
Janouš, Dalibor
Jans, Wilma
Jassal, Rachhpal
Jiang, Shicheng
Kato, Tomomichi
Khomik, Myroslava
Klatt, Janina
Knohl, Alexander
Knox, Sara
Kobayashi, Hideki
Koerber, Georgia
Kolle, Olaf
Kosugi, Yoshiko
Kotani, Ayumi
Kowalski, Andrew
Kruijt, Bart
Kurbatova, Julia
Kutsch, Werner L
Kwon, Hyojung
Launiainen, Samuli
Laurila, Tuomas
Law, Bev
Leuning, Ray
Li, Yingnian
Liddell, Michael
Limousin, Jean-Marc
Lion, Marryanna
Liska, Adam J
Lohila, Annalea
López-Ballesteros, Ana
López-Blanco, Efrén
Loubet, Benjamin
Loustau, Denis
Lucas-Moffat, Antje
Lüers, Johannes
Ma, Siyan
Macfarlane, Craig
Magliulo, Vincenzo
Maier, Regine
Mammarella, Ivan
Manca, Giovanni
Marcolla, Barbara
Margolis, Hank A
Marras, Serena
Massman, William
Mastepanov, Mikhail
Matamala, Roser
Matthes, Jaclyn Hatala
Mazzenga, Francesco
McCaughey, Harry
McHugh, Ian
McMillan, Andrew M S
Merbold, Lutz
Meyer, Wayne
Meyers, Tilden
Miller, Scott D
Minerbi, Stefano
Moderow, Uta
Monson, Russell K
Montagnani, Leonardo
Moore, Caitlin E
Moors, Eddy
Moreaux, Virginie
Moureaux, Christine
Munger, J William
Nakai, Taro
Neirynck, Johan
Nesic, Zoran
Nicolini, Giacomo
Noormets, Asko
Northwood, Matthew
Nosetto, Marcelo
Nouvellon, Yann
Novick, Kimberly
Oechel, Walter
Olesen, Jørgen Eivind
Ourcival, Jean-Marc
Papuga, Shirley A
Parmentier, Frans-Jan
Paul-Limoges, Eugenie
Pavelka, Marian
Peichl, Matthias
Pendall, Elise
Phillips, Richard P
Pilegaard, Kim
Pirk, Norbert
Posse, Gabriela
Powell, Thomas
Prasse, Heiko
Prober, Suzanne M
Rambal, Serge
Rannik, Üllar
Raz-Yaseef, Naama
Rebmann, Corinna
Reed, David
Dios, Victor Resco de
Restrepo-Coupe, Natalia
Reverter, Borja R
Roland, Marilyn
Sabbatini, Simone
Sachs, Torsten
Saleska, Scott R
Sánchez-Cañete, Enrique P
Sanchez-Mejia, Zulia M
Schmid, Hans Peter
Schmidt, Marius
Schneider, Karl
Schrader, Frederik
Schroder, Ivan
Scott, Russell L
Sedlák, Pavel
Serrano-Ortíz, Penélope
Shao, Changliang
Shi, Peili
Shironya, Ivan
Siebicke, Lukas
Šigut, Ladislav
Silberstein, Richard
Sirca, Costantino
Spano, Donatella
Steinbrecher, Rainer
Stevens, Robert M
Sturtevant, Cove
Suyker, Andy
Tagesson, Torbern
Takanashi, Satoru
Tang, Yanhong
Tapper, Nigel
Thom, Jonathan
Tomassucci, Michele
Tuovinen, Juha-Pekka
Urbanski, Shawn
Valentini, Riccardo 
van der Molen, Michiel
van Gorsel, Eva
van Huissteden, Ko
Varlagin, Andrej
Verfaillie, Joseph
Vesala, Timo
Vincke, Caroline
Vitale, Domenico
Vygodskaya, Natalia
Walker, Jeffrey P
Walter-Shea, Elizabeth
Wang, Huimin
Weber, Robin
Westermann, Sebastian
Wille, Christian
Wofsy, Steven
Wohlfahrt, Georg
Wolf, Sebastian
Woodgate, William
Li, Yuelin
Zampedri, Roberto
Zhang, Junhui
Zhou, Guoyi
Zona, Donatella
Agarwal, Deb
Biraud, Sebastien
Torn, Margaret
Papale, Dario 
Journal: SCIENTIFIC DATA 
Issue Date: 2020
Abstract: 
The FLUXNET2015 dataset provides ecosystem-scale data on CO2, water, and energy exchange between the biosphere and the atmosphere, and other meteorological and biological measurements, from 212 sites around the globe (over 1500 site-years, up to and including year 2014). These sites, independently managed and operated, voluntarily contributed their data to create global datasets. Data were quality controlled and processed using uniform methods, to improve consistency and intercomparability across sites. The dataset is already being used in a number of applications, including ecophysiology studies, remote sensing studies, and development of ecosystem and Earth system models. FLUXNET2015 includes derived-data products, such as gap-filled time series, ecosystem respiration and photosynthetic uptake estimates, estimation of uncertainties, and metadata about the measurements, presented for the first time in this paper. In addition, 206 of these sites are for the first time distributed under a Creative Commons (CC-BY 4.0) license. This paper details this enhanced dataset and the processing methods, now made available as open-source codes, making the dataset more accessible, transparent, and reproducible.
URI: http://hdl.handle.net/2067/47384
ISSN: 2052-4463
DOI: 10.1038/s41597-020-0534-3
Appears in Collections:A1. Articolo in rivista

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