Publication:

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

Date

Date

Date
2020
Journal Article
Published version
cris.lastimport.scopus2025-06-04T03:44:52Z
cris.lastimport.wos2025-07-22T01:34:34Z
dc.contributor.institutionUniversity of Zurich
dc.date.accessioned2020-10-02T13:16:48Z
dc.date.available2020-10-02T13:16:48Z
dc.date.issued2020
dc.description.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.

dc.identifier.doi10.1038/s41597-020-0534-3
dc.identifier.issn2052-4463
dc.identifier.scopus2-s2.0-85087829803
dc.identifier.urihttps://www.zora.uzh.ch/handle/20.500.14742/172733
dc.identifier.wos000552035900004
dc.language.isoeng
dc.subjectStatistics
dc.subjectProbability and Uncertainty
dc.subjectStatistics and Probability
dc.subjectEducation
dc.subjectLibrary and Information Sciences
dc.subjectInformation Systems
dc.subjectComputer Science Applications
dc.subject.ddc910 Geography & travel
dc.title

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

dc.typearticle
dcterms.accessRightsinfo:eu-repo/semantics/openAccess
dcterms.bibliographicCitation.journaltitleScientific Data
dcterms.bibliographicCitation.number1
dcterms.bibliographicCitation.originalpublishernameNature Publishing Group
dcterms.bibliographicCitation.pagestart225
dcterms.bibliographicCitation.volume7
dspace.entity.typePublicationen
uzh.contributor.affiliationLawrence Berkeley National Laboratory
uzh.contributor.affiliationUniversità degli Studi della Tuscia Viterbo
uzh.contributor.affiliationUniversità degli Studi della Tuscia Viterbo, Centro Euro-Mediterraneo per i Cambiamenti Climatici
uzh.contributor.affiliationLawrence Berkeley National Laboratory
uzh.contributor.affiliationLawrence Berkeley National Laboratory
uzh.contributor.affiliationLawrence Berkeley National Laboratory
uzh.contributor.affiliationCalifornia State University, Sacramento
uzh.contributor.affiliationMichigan State University
uzh.contributor.affiliationLawrence Berkeley National Laboratory
uzh.contributor.affiliationUniversity of Virginia
uzh.contributor.affiliationTERN Ecosystrem Processes
uzh.contributor.affiliationUniversità degli Studi della Tuscia Viterbo, Centro Euro-Mediterraneo per i Cambiamenti Climatici
uzh.contributor.affiliationUniversità degli Studi della Tuscia Viterbo, Centro Euro-Mediterraneo per i Cambiamenti Climatici
uzh.contributor.affiliationLawrence Berkeley National Laboratory
uzh.contributor.affiliationInstitute of Geographical Sciences and Natural Resources Research Chinese Academy of Sciences
uzh.contributor.affiliationUniversity of Manitoba
uzh.contributor.affiliationForschungsanstalt Agroscope Reckenholz-Tanikon
uzh.contributor.affiliationMcMaster University, Faculty of Science
uzh.contributor.affiliationInstitutionen för Naturgeografi och Ekosystemvetenskap, Lunds Universitet
uzh.contributor.affiliationCollege of Agricultural Sciences and Natural Resources
uzh.contributor.authorPastorello, Gilberto
uzh.contributor.authorTrotta, Carlo
uzh.contributor.authorCanfora, Eleonora
uzh.contributor.authorChu, Housen
uzh.contributor.authorChristianson, Danielle
uzh.contributor.authorCheah, You-Wei
uzh.contributor.authorPoindexter, Cristina
uzh.contributor.authorChen, Jiquan
uzh.contributor.authorElbashandy, Abdelrahman
uzh.contributor.authorHumphrey, Marty
uzh.contributor.authorIsaac, Peter
uzh.contributor.authorPolidori, Diego
uzh.contributor.authorRibeca, Alessio
uzh.contributor.authorvan Ingen, Catharine
uzh.contributor.authorZhang, Leiming
uzh.contributor.authorAmiro, Brian
uzh.contributor.authorAmmann, Christof
uzh.contributor.authorArain, M Altaf
uzh.contributor.authorArdö, Jonas
uzh.contributor.authorArkebauer, Timothy
uzh.contributor.correspondenceYes
uzh.contributor.correspondenceNo
uzh.contributor.correspondenceNo
uzh.contributor.correspondenceNo
uzh.contributor.correspondenceNo
uzh.contributor.correspondenceNo
uzh.contributor.correspondenceNo
uzh.contributor.correspondenceNo
uzh.contributor.correspondenceNo
uzh.contributor.correspondenceNo
uzh.contributor.correspondenceNo
uzh.contributor.correspondenceNo
uzh.contributor.correspondenceNo
uzh.contributor.correspondenceNo
uzh.contributor.correspondenceNo
uzh.contributor.correspondenceNo
uzh.contributor.correspondenceNo
uzh.contributor.correspondenceNo
uzh.contributor.correspondenceNo
uzh.contributor.correspondenceNo
uzh.document.availabilitypublished_version
uzh.eprint.datestamp2020-10-02 13:16:48
uzh.eprint.lastmod2025-07-22 01:42:36
uzh.eprint.statusChange2020-10-02 13:16:48
uzh.harvester.ethYes
uzh.harvester.nbNo
uzh.identifier.doi10.5167/uzh-190509
uzh.jdb.eprintsId39214
uzh.oastatus.unpaywallgold
uzh.oastatus.zoraGold
uzh.publication.citationPastorello, Gilberto; Trotta, Carlo; Canfora, Eleonora; Chu, Housen; Christianson, Danielle; Cheah, You-Wei; Poindexter, Cristina; Chen, Jiquan; Elbashandy, Abdelrahman; Humphrey, Marty; Isaac, Peter; Polidori, Diego; Ribeca, Alessio; van Ingen, Catharine; 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; Paul-Limoges, Eugénie; et al (2020). The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data. Scientific Data, 7(1):225.
uzh.publication.freeAccessAtdoi
uzh.publication.originalworkoriginal
uzh.publication.publishedStatusfinal
uzh.scopus.impact1044
uzh.scopus.subjectsStatistics and Probability
uzh.scopus.subjectsInformation Systems
uzh.scopus.subjectsEducation
uzh.scopus.subjectsComputer Science Applications
uzh.scopus.subjectsStatistics, Probability and Uncertainty
uzh.scopus.subjectsLibrary and Information Sciences
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uzh.workflow.eprintid190509
uzh.workflow.fulltextStatuspublic
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uzh.workflow.rightsCheckkeininfo
uzh.workflow.sourceCrossRef:10.1038/s41597-020-0534-3
uzh.workflow.statusarchive
uzh.wos.impact1063
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