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

Gilberto Pastorello , Carlo Trotta , Eleonora Canfora , Gilberto Pastorello , Carlo Trotta , Eleonora Canfora , Housen Chu , Danielle Christianson , You-Wei Cheah , C. Poindexter , Jiquan Chen , Abdelrahman Elbashandy , Marty Humphrey , Peter Isaac , Diego Polidori , Markus Reichstein , Alessio Ribeca , Catharine van Ingen , Nicolas Vuichard , Leiming Zhang , B. D. Amiro , Christof Ammann , M. Altaf Arain , Jonas Ardö , Timothy J. Arkebauer , Stefan K. Arndt , Nicola Arriga , Marc Aubinet , Mika Aurela , Dennis Baldocchi , Alan Barr , Eric Beamesderfer , Luca Belelli Marchesini , Onil Bergeron , Jason Beringer , Christian Bernhofer , Daniel Berveiller , D. P. Billesbach , T. Andrew Black , Peter D. Blanken , Gil Bohrer , Julia Boike , Paul V. Bolstad , Damien Bonal , Jean-Marc Bonnefond , D. R. Bowling , Rosvel Bracho , Jason Brodeur , Christian Brümmer , Nina Buchmann , Benoît Burban , Sean P. Burns , Pauline Buysse , Peter Cale , M. Cavagna , Pierre Cellier , Shiping Chen , Isaac Chini , Torben R. Christensen , James Cleverly , Alessio Collalti , Claudia Consalvo , Bruce D. Cook , David Cook , Carole Coursolle , Edoardo Cremonese , Peter S. Curtis , Ettore D’Andrea , Humberto da Rocha , Xiaoqin Dai , K. J. Davis , Bruno De Cinti , A. de Grandcourt , Anne De Ligne , Raimundo Cosme de Oliveira , Nicolas Delpierre , Ankur R. Desai , Carlos Marcelo Di Bella , Paul Di Tommasi , A. J. Dolman , Francisco Domingo , Gang Dong , Sabina Dore , Pierpaolo Duce , Éric Dufrêne , Allison L. Dunn , Jiří Dušek , Derek Eamus , Uwe Eichelmann , Hatim Abdalla M. ElKhidir , Werner Eugster , Cäcilia Ewenz , B. E. Ewers , Daniela Famulari , Silvano Fares , Iris Feigenwinter , Andrew Feitz , Rasmus Fensholt , Gianluca Filippa , M. L. Fischer , J. M. Frank , Marta Galvagno , Mana Gharun
2020 Scientific Data 1,592 citations

Abstract

Abstract The FLUXNET2015 dataset provides ecosystem-scale data on CO 2 , 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.

Keywords

Eddy covarianceCovariancePipeline (software)Computer scienceData miningStatisticsMathematicsBiology

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Publication Info

Year
2020
Type
article
Volume
7
Issue
1
Pages
225-225
Citations
1592
Access
Closed

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Cite This

Gilberto Pastorello, Carlo Trotta, Eleonora Canfora et al. (2020). The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data. Scientific Data , 7 (1) , 225-225. https://doi.org/10.1038/s41597-020-0534-3

Identifiers

DOI
10.1038/s41597-020-0534-3
PMID
32647314
PMCID
PMC7347557

Data Quality

Data completeness: 81%