Title

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

Authors

Gilberto Pastorello
Carlo Trotta
Eleonora Canfora
Housen Chu
Danielle Christianson
You-Wei Cheah
Cristina Poindexter
Jiquan Chen
Abdelrahman Elbashandy
Marty Humphrey
Peter Isaac
Diego Polidori
Alessio Ribeca
Catharine van Ingen
Leiming Zhang
Brian Amiro
Christof Ammann
M. Altaf Arain
Jonas Ardö
Timothy 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
Dave Billesbach
Thomas A. Black
Peter D. Blanken
Gil Bohrer
Julia Boike
Paul V. Bolstad
Damien Bonal
Jean-Marc Bonnefond
David R. Bowling
Rosvel Bracho
Jason Brodeur
Christian Brümmer
Nina Buchmann
Benoit Burban
Sean P. Burns
Pauline Buysse
Peter Cale
Mauro 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
Kenneth J. Davis
Bruno De Cinti
Agnes de Grandcourt
Anne De Ligne
Raimundo C. De Oliveira
Nicolas Delpierre
Ankur R. Desai
Carlos Marcelo Di Bella
Paul di Tommasi
Han Dolman
Francisco Domingo
Gang Dong
Sabina Dore
Pierpaolo Duce
Eric Dufrêne
Allison Dunn
Jiří Dušek
Derek Eamus
Uwe Eichelmann
Hatim Abdalla M. ElKhidir
Werner Eugster
Cacilia M. Ewenz
Brent Ewers
Daniela Famulari
Silvano Fares
Iris Feigenwinter
Andrew Feitz
Rasmus Fensholt
Gianluca Filippa
Marc Fischer
John Frank
Marta Galvagno
Mana Gharun
Damiano Gianelle
Bert Gielen
Beniamino Gioli
Anatoly Gitelson
Ignacio Goded
Mathias Goeckede
Allen H. Goldstein
Christopher M. Gough
Michael L. Goulden
Alexander Graf
Anne Griebel
Carsten Gruening
Thomas Grünwald
Albin Hammerle
Shijie Han
Xingguo Han
Birger Ulf Hansen
Chad Hanson
Juha Hatakka
Yongtao He
Markus Hehn
Bernard Heinesch
Nina Hinko-Najera
Lukas Hörtnagl
Lindsay Hutley
Andreas Ibrom
Hiroki Ikawa
Marcin Jackowicz-Korczynski
Dalibor Janouš
Wilma Jans
Rachhpal Jassal
Shicheng Jiang
Tomomichi Kato
Myroslava Khomik
Janina Klatt
Alexander Knohl
Sara Knox
Hideki Kobayashi
Georgia Koerber
Olaf Kolle
Yoshiko Kosugi
Ayumi Kotani
Andrew Kowalski
Bart Kruijt
Julia Kurbatova
Werner L. Kutsch
Hyojung Kwon
Samuli Launiainen
Tuomas Laurila
Bev Law
Ray Leuning
Yingnian Li
Michael Liddell
Jean-Marc Limousin
Marryanna Lion
Adam J. Liska
Annalea Lohila
Ana López-Ballesteros
Efrén López-Blanco
Benjamin Loubet
Denis Loustau
Antje Lucas-Moffat
Johannes Lüers
Siyan Ma
Craig Macfarlane
Vincenzo Magliulo
Regine Maier
Ivan Mammarella
Giovanni Manca
Barbara Marcolla
Hank A. Margolis
Serena Marras
William Massman
Mikhail Mastepanov
Roser Matamala
Jaclyn Hatala Matthes
Francesco Mazzenga
Harry McCaughey
Ian McHugh
Andrew M. S. McMillan
Lutz Merbold
Wayne Meyer
Tilden Meyers
Scott D. Miller
Stefano Minerbi
Uta Moderow
Russell K. Monson
Leonardo Montagnani
Caitlin E. Moore
Eddy Moors
Virginie Moreaux
Christine Moureaux
J. William Munger
Taro Nakai
Johan Neirynck
Zoran Nesic
Giacomo Nicolini
Asko Noormets
Matthew Northwood
Marcelo Nosetto
Yann Nouvellon
Kimberly Novick
Walter Oechel
Jørgen Eivind Olesen
Jean-Marc Ourcival
Shirley A. Papuga
Frans-Jan Parmentier
Eugenie Paul-Limoges
Marian Pavelka
Matthias Peichl
Elise Pendall
Richard P. Phillips
Kim Pilegaard
Norbert Pirk
Gabriela Posse
Thomas Powell
Heiko Prasse
Suzanne M. Prober
Serge Rambal
Ülla Rannik
Naama Raz-Yaseef
David Reed
Victor Resco de Dios
Natalia Restrepo-Coupe
Borja R. Reverter
Marilyn Roland
Simone Sabbatini
Torsten Sachs
Scott R. Saleska
Enrique P. Sánchez-Cañete
Zulia M. Sanchez-Mejia
Hans Peter Schmid
Marius Schmidt
Karl Schneider
Frederik Schrader
Ivan Schroder
Russell L. Scott
Pavel Sedlák
Penélope Serrano-Ortíz
Changliang Shao
Peili Shi
Ivan Shironya
Lukas Siebicke
Ladislav Šigut
Richard Silberstein, Edith Cowan UniversityFollow
Costantino Sirca
Donatella Spano
Rainer Steinbrecher
Robert M. Stevens
Cove Sturtevant
Andy Suyker
Torbern Tagesson
Satoru Takanashi
Yanhong Tang
Nigel Tapper
Jonathan Thom
Frank Tiedemann
Michele Tomassucci
Juha-Pekka Tuovinen
Shawn Urbanski
Riccardo Valentini
Michiel van der Molen
Eva van Gorsel
Ko van Huissteden
Andrej Varlagin
Joseph Verfaillie
Timo Vesala
Caroline Vincke
Domenico Vitale
Natalia Vygodskaya
Jeffrey P. Walker
Elizabeth Walter-Shea
Huimin Wang
Robin Weber
Sebastian Westermann
Christian Wille
Steven Wofsy
Georg Wohlfahrt
Sebastian Wolf
William Woodgate
Yuelin Li
Roberto Zampedri
Junhui Zhang
Guoyi Zhou
Donatella Zona
Deb Agarwal
Sebastien Biraud
Margaret Torn
Dario Papale

Document Type

Journal Article

Publication Title

Scientific Data

Volume

7

Issue

1

First Page

225

Publisher

Springer Nature

School

Centre for Ecosystem Management

Comments

Pastorello, G., Trotta, C., Canfora, E., Chu, H., Christianson, D., Cheah, Y. W., … Papale, D. (2020). The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data. Scientific Data, 7, article 225. https://doi.org/10.1038/s41597-020-0534-3

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.

DOI

10.1038/s41597-020-0534-3

Access Rights

free_to_read

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