中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data

文献类型:期刊论文

作者Pastorello, Gilberto; Trotta, Carlo189; Canfora, Eleonora188,189; Chu, Housen; Christianson, Danielle; Cheah, You-Wei; Poindexter, Cristina186; Chen, Jiquan185; Elbashandy, Abdelrahman; Humphrey, Marty184
刊名SCIENTIFIC DATA
出版日期2020
卷号7期号:1
DOI10.1038/s41597-020-0534-3
文献子类Article; Data Paper
英文摘要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.
学科主题Multidisciplinary Sciences
电子版国际标准刊号2052-4463
出版地LONDON
WOS关键词NET ECOSYSTEM EXCHANGE ; ENERGY-BALANCE CLOSURE ; INTERANNUAL VARIABILITY ; CARBON-DIOXIDE ; FLUX ; ASSIMILATION ; RESPIRATION ; UNCERTAINTY ; STORAGE ; SITES
WOS研究方向Science & Technology - Other Topics
语种英语
出版者NATURE PUBLISHING GROUP
WOS记录号WOS:000552035900004
资助机构European UnionEuropean Commission ; U.S. Department of Energy Office of ScienceUnited States Department of Energy (DOE) ; Natural Environment Research CouncilUK Research & Innovation (UKRI)Natural Environment Research Council (NERC) [NE/P002552/1] Funding Source: researchfish
源URL[http://ir.ibcas.ac.cn/handle/2S10CLM1/21663]  
专题植被与环境变化国家重点实验室
作者单位1.Int Livestock Res Inst ILRI, Mazingira Ctr, Nairobi 00100, Kenya
2.Univ Sheffield, Dept Anim & Plant Sci, Sheffield S102TN, S Yorkshire, England
3.Nanjing Univ Informat Sci & Technol, Coll Appl Meteorol, Nanjing 210044, Peoples R China
4.Chinese Acad Sci, South China Bot Garden, Guangzhou 510650, Peoples R China
5.CSIRO Land & Water, Canberra, ACT 2601, Australia
6.Walker, Jeffrey P.] Monash Univ, Dept Civil Engn, Clayton, Vic 3800, Australia
7.Australian Natl Univ Canberra, Fenner Sch Environm & Soc, Canberra, ACT 2600, Australia
8.Wageningen Univ, Meteorol & Air Qual Grp, NL-6500 Wageningen, Netherlands
9.USDA, US Forest Serv, Rocky Mt Res Stn, Missoula, MT 59808 USA
10.Terrasystem Srl, I-01100 Viterbo, Italy
推荐引用方式
GB/T 7714
Pastorello, Gilberto,Trotta, Carlo,Canfora, Eleonora,et al. The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data[J]. SCIENTIFIC DATA,2020,7(1).
APA Pastorello, Gilberto.,Trotta, Carlo.,Canfora, Eleonora.,Chu, Housen.,Christianson, Danielle.,...&Papale, Dario.(2020).The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data.SCIENTIFIC DATA,7(1).
MLA Pastorello, Gilberto,et al."The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data".SCIENTIFIC DATA 7.1(2020).

入库方式: OAI收割

来源:植物研究所

浏览0
下载0
收藏0
其他版本

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。