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
.jpg)
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/250510
Ver los metadatos del registro completo
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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 Técnicas2025-10-22T11:25:57Zoai: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:34982025-10-22 11:25:57.446CONICET 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 |
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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 |
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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 |
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Springer |
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Springer |
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