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

Autores
Pastorello, Gilberto; Trotta, Carlo; Canfora, Eleonora; Chu, Housen; Christianson, Danielle; Cheah, You Wei; Poindexter, Cristina; Chen, Jiquan; Elbashandy, Abdelrahman; Humphrey, Marty; Isaac, Peter; Polidori, Diego; Reichstein, Markus; Ribeca, Alessio; Ingen, Catharine van; Vuichard, Nicolas; Zhang, Leiming; Amiro, Brian; Ammann, Christof; AltafArain, M.; Ardö, Jonas; Arkebauer, Timothy; Arndt, Stefan K.; Arriga, Nicola; Aubinet, Marc; Aurela, Mika; Baldocchi, Dennis; Barr, Alan; Beamesderfer, Eric; Nosetto, Marcelo Daniel
Año de publicación
2020
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
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.
Fil: Pastorello, Gilberto. Lawrence Berkeley National Laboratory; Estados Unidos
Fil: Trotta, Carlo. Università degli Studi della Tuscia; Italia
Fil: Canfora, Eleonora. Università degli Studi della Tuscia; Italia. Euro-Mediterranean Centre on Climate Change Foundation; Italia
Fil: Chu, Housen. Lawrence Berkeley National Laboratory; Estados Unidos. Euro-Mediterranean Centre on Climate Change Foundation; Italia
Fil: Christianson, Danielle. Lawrence Berkeley National Laboratory; Estados Unidos
Fil: Cheah, You Wei. Lawrence Berkeley National Laboratory; Estados Unidos
Fil: Poindexter, Cristina. California State University; Estados Unidos
Fil: Chen, Jiquan. Michigan State University; Estados Unidos
Fil: Elbashandy, Abdelrahman. Lawrence Berkeley National Laboratory; Estados Unidos
Fil: Humphrey, Marty. University of Virginia; Estados Unidos
Fil: Isaac, Peter. TERN Ecosystem Processes; Australia
Fil: Polidori, Diego. University of Tuscia; Italia. Euro-Mediterranean Centre on Climate Change Foundation; Italia
Fil: Reichstein, Markus. Max Planck Institute for Biogeochemistry; Alemania
Fil: Ribeca, Alessio. University of Tuscia; Italia. Euro-Mediterranean Centre on Climate Change Foundation; Italia
Fil: Ingen, Catharine van. Lawrence Berkeley National Laboratory; Estados Unidos
Fil: Vuichard, Nicolas. Laboratoire des Sciences du Climat et de l’Environnement; Francia
Fil: Zhang, Leiming. Chinese Academy of Sciences; República de China
Fil: Amiro, Brian. University of Manitoba; Canadá
Fil: Ammann, Christof. Agroscope Research Institute; Suiza
Fil: AltafArain, M.. McMaster University; Canadá
Fil: Ardö, Jonas. Lund University; Suecia
Fil: Arkebauer, Timothy. University of Nebraska-Lincoln; Estados Unidos
Fil: Arndt, Stefan K.. University of Melbourne; Australia
Fil: Arriga, Nicola. University of Antwerp; Bélgica. Joint Research Centre; Italia
Fil: Aubinet, Marc. University of Liege; Bélgica
Fil: Aurela, Mika. Finnish Meteorological Institute; Finlandia
Fil: Baldocchi, Dennis. University of California at Berkeley; Estados Unidos
Fil: Barr, Alan. University of Saskatchewan; Canadá. environment and climate change canada; Canadá
Fil: Beamesderfer, Eric. McMaster University; Canadá
Fil: Nosetto, Marcelo Daniel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Luis. Instituto de Matemática Aplicada de San Luis "Prof. Ezio Marchi". Universidad Nacional de San Luis. Facultad de Ciencias Físico, Matemáticas y Naturales. Instituto de Matemática Aplicada de San Luis "Prof. Ezio Marchi"; Argentina. Universidad Nacional de Entre Ríos; Argentina
Materia
CARBON CYCLE
CLIMATE SCIENCES
ENVIRONMENTAL SCIENCES
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/250510

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spelling The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance dataPastorello, GilbertoTrotta, CarloCanfora, EleonoraChu, HousenChristianson, DanielleCheah, You WeiPoindexter, CristinaChen, JiquanElbashandy, AbdelrahmanHumphrey, MartyIsaac, PeterPolidori, DiegoReichstein, MarkusRibeca, AlessioIngen, Catharine vanVuichard, NicolasZhang, LeimingAmiro, BrianAmmann, ChristofAltafArain, M.Ardö, JonasArkebauer, TimothyArndt, Stefan K.Arriga, NicolaAubinet, MarcAurela, MikaBaldocchi, DennisBarr, AlanBeamesderfer, EricNosetto, Marcelo DanielCARBON CYCLECLIMATE SCIENCESENVIRONMENTAL SCIENCEShttps://purl.org/becyt/ford/1.5https://purl.org/becyt/ford/1The 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.Fil: Pastorello, Gilberto. Lawrence Berkeley National Laboratory; Estados UnidosFil: Trotta, Carlo. Università degli Studi della Tuscia; ItaliaFil: Canfora, Eleonora. Università degli Studi della Tuscia; Italia. Euro-Mediterranean Centre on Climate Change Foundation; ItaliaFil: Chu, Housen. Lawrence Berkeley National Laboratory; Estados Unidos. Euro-Mediterranean Centre on Climate Change Foundation; ItaliaFil: Christianson, Danielle. Lawrence Berkeley National Laboratory; Estados UnidosFil: Cheah, You Wei. Lawrence Berkeley National Laboratory; Estados UnidosFil: Poindexter, Cristina. California State University; Estados UnidosFil: Chen, Jiquan. Michigan State University; Estados UnidosFil: Elbashandy, Abdelrahman. Lawrence Berkeley National Laboratory; Estados UnidosFil: Humphrey, Marty. University of Virginia; Estados UnidosFil: Isaac, Peter. TERN Ecosystem Processes; AustraliaFil: Polidori, Diego. University of Tuscia; Italia. Euro-Mediterranean Centre on Climate Change Foundation; ItaliaFil: Reichstein, Markus. Max Planck Institute for Biogeochemistry; AlemaniaFil: Ribeca, Alessio. University of Tuscia; Italia. Euro-Mediterranean Centre on Climate Change Foundation; ItaliaFil: Ingen, Catharine van. Lawrence Berkeley National Laboratory; Estados UnidosFil: Vuichard, Nicolas. Laboratoire des Sciences du Climat et de l’Environnement; FranciaFil: Zhang, Leiming. Chinese Academy of Sciences; República de ChinaFil: Amiro, Brian. University of Manitoba; CanadáFil: Ammann, Christof. Agroscope Research Institute; SuizaFil: AltafArain, M.. McMaster University; CanadáFil: Ardö, Jonas. Lund University; SueciaFil: Arkebauer, Timothy. University of Nebraska-Lincoln; Estados UnidosFil: Arndt, Stefan K.. University of Melbourne; AustraliaFil: Arriga, Nicola. University of Antwerp; Bélgica. Joint Research Centre; ItaliaFil: Aubinet, Marc. University of Liege; BélgicaFil: Aurela, Mika. Finnish Meteorological Institute; FinlandiaFil: Baldocchi, Dennis. University of California at Berkeley; Estados UnidosFil: Barr, Alan. University of Saskatchewan; Canadá. environment and climate change canada; CanadáFil: Beamesderfer, Eric. McMaster University; CanadáFil: Nosetto, Marcelo Daniel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Luis. Instituto de Matemática Aplicada de San Luis "Prof. Ezio Marchi". Universidad Nacional de San Luis. Facultad de Ciencias Físico, Matemáticas y Naturales. Instituto de Matemática Aplicada de San Luis "Prof. Ezio Marchi"; Argentina. Universidad Nacional de Entre Ríos; ArgentinaSpringer2020-07info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/250510Pastorello, Gilberto; Trotta, Carlo; Canfora, Eleonora; Chu, Housen; Christianson, Danielle; et al.; The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data; Springer; Scientific Data; 7; 1; 7-2020; 1-272052-4463CONICET DigitalCONICETenginfo:eu-repo/semantics/reference/doi/https://doi.org/10.6084/m9.figshare.12295910info:eu-repo/semantics/altIdentifier/url/http://www.nature.com/articles/s41597-020-0534-3info:eu-repo/semantics/altIdentifier/doi/10.1038/s41597-020-0534-3info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:56:45Zoai:ri.conicet.gov.ar:11336/250510instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 09:56:45.925CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data
title The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data
spellingShingle The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data
Pastorello, Gilberto
CARBON CYCLE
CLIMATE SCIENCES
ENVIRONMENTAL SCIENCES
title_short The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data
title_full The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data
title_fullStr The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data
title_full_unstemmed The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data
title_sort The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data
dc.creator.none.fl_str_mv Pastorello, Gilberto
Trotta, Carlo
Canfora, Eleonora
Chu, Housen
Christianson, Danielle
Cheah, You Wei
Poindexter, Cristina
Chen, Jiquan
Elbashandy, Abdelrahman
Humphrey, Marty
Isaac, Peter
Polidori, Diego
Reichstein, Markus
Ribeca, Alessio
Ingen, Catharine van
Vuichard, Nicolas
Zhang, Leiming
Amiro, Brian
Ammann, Christof
AltafArain, M.
Ardö, Jonas
Arkebauer, Timothy
Arndt, Stefan K.
Arriga, Nicola
Aubinet, Marc
Aurela, Mika
Baldocchi, Dennis
Barr, Alan
Beamesderfer, Eric
Nosetto, Marcelo Daniel
author Pastorello, Gilberto
author_facet Pastorello, Gilberto
Trotta, Carlo
Canfora, Eleonora
Chu, Housen
Christianson, Danielle
Cheah, You Wei
Poindexter, Cristina
Chen, Jiquan
Elbashandy, Abdelrahman
Humphrey, Marty
Isaac, Peter
Polidori, Diego
Reichstein, Markus
Ribeca, Alessio
Ingen, Catharine van
Vuichard, Nicolas
Zhang, Leiming
Amiro, Brian
Ammann, Christof
AltafArain, M.
Ardö, Jonas
Arkebauer, Timothy
Arndt, Stefan K.
Arriga, Nicola
Aubinet, Marc
Aurela, Mika
Baldocchi, Dennis
Barr, Alan
Beamesderfer, Eric
Nosetto, Marcelo Daniel
author_role author
author2 Trotta, Carlo
Canfora, Eleonora
Chu, Housen
Christianson, Danielle
Cheah, You Wei
Poindexter, Cristina
Chen, Jiquan
Elbashandy, Abdelrahman
Humphrey, Marty
Isaac, Peter
Polidori, Diego
Reichstein, Markus
Ribeca, Alessio
Ingen, Catharine van
Vuichard, Nicolas
Zhang, Leiming
Amiro, Brian
Ammann, Christof
AltafArain, M.
Ardö, Jonas
Arkebauer, Timothy
Arndt, Stefan K.
Arriga, Nicola
Aubinet, Marc
Aurela, Mika
Baldocchi, Dennis
Barr, Alan
Beamesderfer, Eric
Nosetto, Marcelo Daniel
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv CARBON CYCLE
CLIMATE SCIENCES
ENVIRONMENTAL SCIENCES
topic CARBON CYCLE
CLIMATE SCIENCES
ENVIRONMENTAL SCIENCES
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.5
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv 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.
Fil: Pastorello, Gilberto. Lawrence Berkeley National Laboratory; Estados Unidos
Fil: Trotta, Carlo. Università degli Studi della Tuscia; Italia
Fil: Canfora, Eleonora. Università degli Studi della Tuscia; Italia. Euro-Mediterranean Centre on Climate Change Foundation; Italia
Fil: Chu, Housen. Lawrence Berkeley National Laboratory; Estados Unidos. Euro-Mediterranean Centre on Climate Change Foundation; Italia
Fil: Christianson, Danielle. Lawrence Berkeley National Laboratory; Estados Unidos
Fil: Cheah, You Wei. Lawrence Berkeley National Laboratory; Estados Unidos
Fil: Poindexter, Cristina. California State University; Estados Unidos
Fil: Chen, Jiquan. Michigan State University; Estados Unidos
Fil: Elbashandy, Abdelrahman. Lawrence Berkeley National Laboratory; Estados Unidos
Fil: Humphrey, Marty. University of Virginia; Estados Unidos
Fil: Isaac, Peter. TERN Ecosystem Processes; Australia
Fil: Polidori, Diego. University of Tuscia; Italia. Euro-Mediterranean Centre on Climate Change Foundation; Italia
Fil: Reichstein, Markus. Max Planck Institute for Biogeochemistry; Alemania
Fil: Ribeca, Alessio. University of Tuscia; Italia. Euro-Mediterranean Centre on Climate Change Foundation; Italia
Fil: Ingen, Catharine van. Lawrence Berkeley National Laboratory; Estados Unidos
Fil: Vuichard, Nicolas. Laboratoire des Sciences du Climat et de l’Environnement; Francia
Fil: Zhang, Leiming. Chinese Academy of Sciences; República de China
Fil: Amiro, Brian. University of Manitoba; Canadá
Fil: Ammann, Christof. Agroscope Research Institute; Suiza
Fil: AltafArain, M.. McMaster University; Canadá
Fil: Ardö, Jonas. Lund University; Suecia
Fil: Arkebauer, Timothy. University of Nebraska-Lincoln; Estados Unidos
Fil: Arndt, Stefan K.. University of Melbourne; Australia
Fil: Arriga, Nicola. University of Antwerp; Bélgica. Joint Research Centre; Italia
Fil: Aubinet, Marc. University of Liege; Bélgica
Fil: Aurela, Mika. Finnish Meteorological Institute; Finlandia
Fil: Baldocchi, Dennis. University of California at Berkeley; Estados Unidos
Fil: Barr, Alan. University of Saskatchewan; Canadá. environment and climate change canada; Canadá
Fil: Beamesderfer, Eric. McMaster University; Canadá
Fil: Nosetto, Marcelo Daniel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Luis. Instituto de Matemática Aplicada de San Luis "Prof. Ezio Marchi". Universidad Nacional de San Luis. Facultad de Ciencias Físico, Matemáticas y Naturales. Instituto de Matemática Aplicada de San Luis "Prof. Ezio Marchi"; Argentina. Universidad Nacional de Entre Ríos; Argentina
description 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.
publishDate 2020
dc.date.none.fl_str_mv 2020-07
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/250510
Pastorello, Gilberto; Trotta, Carlo; Canfora, Eleonora; Chu, Housen; Christianson, Danielle; et al.; The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data; Springer; Scientific Data; 7; 1; 7-2020; 1-27
2052-4463
CONICET Digital
CONICET
url http://hdl.handle.net/11336/250510
identifier_str_mv Pastorello, Gilberto; Trotta, Carlo; Canfora, Eleonora; Chu, Housen; Christianson, Danielle; et al.; The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data; Springer; Scientific Data; 7; 1; 7-2020; 1-27
2052-4463
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/reference/doi/https://doi.org/10.6084/m9.figshare.12295910
info:eu-repo/semantics/altIdentifier/url/http://www.nature.com/articles/s41597-020-0534-3
info:eu-repo/semantics/altIdentifier/doi/10.1038/s41597-020-0534-3
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Springer
publisher.none.fl_str_mv Springer
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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