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The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data
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SYSNO ASEP 0536481 Document Type J - Journal Article R&D Document Type Journal Article Subsidiary J Článek ve WOS Title The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data Author(s) Pastorello, G. (US)
Trotta, C. (IT)
Canfora, E. (IT)
Sedlák, Pavel (UFA-U) RID, ORCIDNumber of authors 289 Article number 225 Source Title Scientific Data. - : Nature Publishing Group - ISSN 2052-4463
Roč. 7, č. 1 (2020)Number of pages 27 s. Language eng - English Country GB - United Kingdom Keywords net ecosystem exchange ; energy-balance closure ; interannual variability ; carbon-dioxide ; flux ; assimilation ; respiration ; uncertainty ; storage ; sites Subject RIV DG - Athmosphere Sciences, Meteorology OECD category Meteorology and atmospheric sciences Method of publishing Open access Institutional support UFA-U - RVO:68378289 UT WOS 000552035900004 EID SCOPUS 85087829803 DOI https://doi.org/10.1038/s41597-020-0534-3 Annotation 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. Workplace Institute of Atmospheric Physics Contact Kateřina Adamovičová, adamovicova@ufa.cas.cz, Tel.: 272 016 012 ; Kateřina Potužníková, kaca@ufa.cas.cz, Tel.: 272 016 019 Year of Publishing 2021 Electronic address https://www.nature.com/articles/s41597-020-0534-3.pdf
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