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

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.

Metadata

Authors/Creators:	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 https://orcid.org/0000-0002-0003-4839 Agarwal, D Biraud, S Torn, M Papale, D
Copyright, Publisher and Additional Information:	© 2020 The Author(s). Open Access: This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files associated with this article.
Dates:	Accepted: 20 May 2020 Published (online): 9 July 2020 Published: 9 July 2020
Institution:	The University of Sheffield
Academic Units:	The University of Sheffield > Faculty of Science (Sheffield) > School of Biosciences (Sheffield) > Department of Animal and Plant Sciences (Sheffield)
Depositing User:	Symplectic Sheffield
Date Deposited:	23 Jul 2020 09:28
Last Modified:	23 Jul 2020 09:28
Status:	Published
Publisher:	Springer Science and Business Media LLC
Refereed:	Yes
Identification Number:	https://doi.org/10.1038/s41597-020-0534-3
Related URLs:	PubMed URL

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

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