The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data.

Pastorello G Trotta C Canfora E Chu H Christianson D Cheah Y-W Poindexter C Chen J Elbashandy A Humphrey M Isaac P Polidori D Ribeca A van Ingen C Zhang L Amiro B Ammann C Arain MA Ardö J Arkebauer T Arndt SK Arriga N Aubinet M Aurela M Baldocchi D Barr A Beamesderfer E Marchesini LB Bergeron O Beringer J Bernhofer C Berveiller D Billesbach D Black TA Blanken PD Bohrer G Boike J Bolstad PV Bonal D Bonnefond J-M Bowling DR Bracho R Brodeur J Brümmer C Buchmann N Burban B Burns SP Buysse P Cale P Cavagna M Cellier P Chen S Chini I Christensen TR Cleverly J Collalti A Consalvo C Cook BD Cook D Coursolle C Cremonese E Curtis PS D'Andrea E da Rocha H Dai X Davis KJ De Cinti B de Grandcourt A De Ligne A De Oliveira RC Delpierre N Desai AR Di Bella CM di Tommasi P Dolman H Domingo F Dong G Dore S Duce P Dufrêne E Dunn A Dušek J Eamus D Eichelmann U ElKhidir HAM Eugster W Ewenz CM Ewers B Famulari D Fares S Feigenwinter I Feitz A Fensholt R Filippa G Fischer M Frank J Galvagno M Gharun M Gianelle D Gielen B Gioli B Gitelson A Goded I Goeckede M Goldstein AH Gough CM Goulden ML Graf A Griebel A Gruening C Grünwald T Hammerle A Han S Han X Hansen BU Hanson C Hatakka J He Y Hehn M Heinesch B Hinko-Najera N Hörtnagl L Hutley L Ibrom A Ikawa H Jackowicz-Korczynski M Janouš D Jans W Jassal R Jiang S Kato T Khomik M Klatt J Knohl A Knox S Kobayashi H Koerber G Kolle O Kosugi Y Kotani A Kowalski A Kruijt B Kurbatova J Kutsch WL Kwon H Launiainen S Laurila T Law B Leuning R Li Y Liddell M Limousin J-M Lion M Liska AJ Lohila A López-Ballesteros A López-Blanco E Loubet B Loustau D Lucas-Moffat A Lüers J Ma S Macfarlane C Magliulo V Maier R Mammarella I Manca G Marcolla B Margolis HA Marras S Massman W Mastepanov M Matamala R Matthes JH Mazzenga F McCaughey H McHugh I McMillan AMS Merbold L Meyer W Meyers T Miller SD Minerbi S Moderow U Monson RK Montagnani L Moore CE Moors E Moreaux V Moureaux C Munger JW Nakai T Neirynck J Nesic Z Nicolini G Noormets A Northwood M Nosetto M Nouvellon Y Novick K Oechel W Olesen JE Ourcival J-M Papuga SA Parmentier F-J Paul-Limoges E Pavelka M Peichl M Pendall E Phillips RP Pilegaard K Pirk N Posse G Powell T Prasse H Prober SM Rambal S Rannik Ü Raz-Yaseef N Reed D de Dios VR Restrepo-Coupe N Reverter BR Roland M Sabbatini S Sachs T Saleska SR Sánchez-Cañete EP Sanchez-Mejia ZM Schmid HP Schmidt M Schneider K Schrader F Schroder I Scott RL Sedlák P Serrano-Ortíz P Shao C Shi P Shironya I Siebicke L Šigut L Silberstein R Sirca C Spano D Steinbrecher R Stevens RM Sturtevant C Suyker A Tagesson T Takanashi S Tang Y Tapper N Thom J Tiedemann F Tomassucci M Tuovinen J-P Urbanski S Valentini R van der Molen M van Gorsel E van Huissteden K Varlagin A Verfaillie J Vesala T Vincke C Vitale D Vygodskaya N Walker JP Walter-Shea E Wang H Weber R Westermann S Wille C Wofsy S Wohlfahrt G Wolf S Woodgate W Li Y Zampedri R Zhang J Zhou G Zona D Agarwal D Biraud S Torn M Papale D
Publisher:
NATURE PUBLISHING GROUP
Publication Type:
Journal Article
Citation:
Scientific data, 2020, 7, (1), pp. 225
Issue Date:
2020-07-09
Full metadata record
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.
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