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

Pastorello, Gilberto ; Ardö, Jonas LU ; Jackowicz-Korczynski, Marcin LU ; Parmentier, Frans-Jan LU ; Pirk, Norbert LU ; Tagesson, Torbern LU and Papale, Dario (2020) In Scientific Data 7(1).
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... (More)
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. (Less)
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author
; ; ; ; ; and
author collaboration
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
article, breathing, ecophysiology, ecosystem, Eddy covariance, licence, metadata, photosynthesis, pipeline, remote sensing, time series analysis, uncertainty
in
Scientific Data
volume
7
issue
1
article number
225
publisher
Nature Publishing Group
external identifiers
  • scopus:85087829803
  • pmid:32647314
ISSN
2052-4463
DOI
10.1038/s41597-020-0534-3
language
English
LU publication?
yes
id
0d23ac3a-8b11-4e38-80c9-7de751b0d7e7
date added to LUP
2020-07-22 08:17:51
date last changed
2020-09-23 08:13:24
@article{0d23ac3a-8b11-4e38-80c9-7de751b0d7e7,
  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.},
  author       = { Pastorello, Gilberto and Ardö, Jonas and Jackowicz-Korczynski, Marcin and Parmentier, Frans-Jan and Pirk, Norbert and Tagesson, Torbern and Papale, Dario},
  issn         = {2052-4463},
  language     = {eng},
  number       = {1},
  publisher    = {Nature Publishing Group},
  series       = {Scientific Data},
  title        = {The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data},
  url          = {http://dx.doi.org/10.1038/s41597-020-0534-3},
  doi          = {10.1038/s41597-020-0534-3},
  volume       = {7},
  year         = {2020},
}