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Monitoring of carbon-water fluxes at Eurasian meteorological stations using random forest and remote sensing

文献类型：期刊论文

作者Xie, Mingjuan60,61,62,63,64; Ma, Xiaofei64; Wang, Yuangang62,64; Li, Chaofan59; Shi, Haiyang58; Yuan, Xiuliang64; Hellwich, Olaf57; Chen, Chunbo64; Zhang, Wenqiang60,61,62,63,64; Zhang, Chen62,64
刊名SCIENTIFIC DATA
出版日期2023-09-07
卷号10期号:1页码:18
DOI10.1038/s41597-023-02473-9
通讯作者Luo, Geping(luogp@ms.xjb.ac.cn)
英文摘要Simulating the carbon-water fluxes at more widely distributed meteorological stations based on the sparsely and unevenly distributed eddy covariance flux stations is needed to accurately understand the carbon-water cycle of terrestrial ecosystems. We established a new framework consisting of machine learning, determination coefficient (R2), Euclidean distance, and remote sensing (RS), to simulate the daily net ecosystem carbon dioxide exchange (NEE) and water flux (WF) of the Eurasian meteorological stations using a random forest model or/and RS. The daily NEE and WF datasets with RS-based information (NEE-RS and WF-RS) for 3774 and 4427 meteorological stations during 2002-2020 were produced, respectively. And the daily NEE and WF datasets without RS-based information (NEE-WRS and WF-WRS) for 4667 and 6763 meteorological stations during 1983-2018 were generated, respectively. For each meteorological station, the carbon-water fluxes meet accuracy requirements and have quasi-observational properties. These four carbon-water flux datasets have great potential to improve the assessments of the ecosystem carbon-water dynamics.
WOS关键词EDDY-COVARIANCE ; UPSCALING EVAPOTRANSPIRATION ; RIVER-BASIN ; MODELS ; SITE
资助项目Tianshan Talent Cultivation[2022TSYCLJ0001] ; Key Projects of the Natural Science Foundation of Xinjiang Autonomous Region[2022D01D01] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDA20060302] ; High-End Foreign Experts Project ; China Scholarship Council ; program of China Scholarship Council (ICPIT-International Cooperative Program for Innovative Talents)[202110630005] ; Russian Science Foundation[21-14-00209] ; EU project SUPER-G[774124] ; SNF project ICOS-CH[20F120_198227] ; ETH Zuerich project FEVER[ETH-27 19-1] ; European Union Next-GenerationEU[CN00000022] ; Ministry of Education and Science of Russia under the project Study of biogeochemical cycles and adaptive reactions of plants of boreal and arctic ecosystems of northeastern Russia[AAAA-A21-121012190034-2]
WOS研究方向Science & Technology - Other Topics
语种英语
出版者NATURE PORTFOLIO
WOS记录号WOS:001065045600002
资助机构Tianshan Talent Cultivation ; Key Projects of the Natural Science Foundation of Xinjiang Autonomous Region ; Strategic Priority Research Program of the Chinese Academy of Sciences ; High-End Foreign Experts Project ; China Scholarship Council ; program of China Scholarship Council (ICPIT-International Cooperative Program for Innovative Talents) ; Russian Science Foundation ; EU project SUPER-G ; SNF project ICOS-CH ; ETH Zuerich project FEVER ; European Union Next-GenerationEU ; Ministry of Education and Science of Russia under the project Study of biogeochemical cycles and adaptive reactions of plants of boreal and arctic ecosystems of northeastern Russia
源URL[http://ir.igsnrr.ac.cn/handle/311030/198115]  
专题中国科学院地理科学与资源研究所
通讯作者Luo, Geping
作者单位1.European Commiss, Joint Res Ctr JRC, Ispra, Italy
2.Chinese Acad Sci, Natl Key Lab Ecol Secur & Sustainable Dev Arid Reg, Urumqi, Peoples R China
3.Kyoto Univ, Grad Sch Agr, Lab Forest Hydrol, Kyoto 6068502, Japan
4.Chinese Acad Sci, Northwest Inst Plateau Biol, Xining 810008, Qinghai, Peoples R China
5.Environm Protect Agcy Aosta Valley, Climate Change Dept, I-11020 St Christophe, Italy
6.Russian Acad Sci, Inst Biol Problems Cryolithozone, Siberian Branch, Yakutsk, Russia
7.Hokkaido Univ, Res Fac Agr, Sapporo, Hokkaido 0608589, Japan
8.Univ Copenhagen, Dept Geosci & Nat Resource Management, Oester Voldgade 10, DK-1350 Copenhagen K, Denmark
9.Natl Res Council Italy, Inst Agr & Forestry Syst Mediterranean, Naples, Italy
10.Chinese Acad Sci, Inst Bot, State Key Lab Vegetat & Environm Change, Beijing 100093, Peoples R China
推荐引用方式
GB/T 7714		 Xie, Mingjuan,Ma, Xiaofei,Wang, Yuangang,et al. Monitoring of carbon-water fluxes at Eurasian meteorological stations using random forest and remote sensing[J]. SCIENTIFIC DATA,2023,10(1):18.
APA Xie, Mingjuan.,Ma, Xiaofei.,Wang, Yuangang.,Li, Chaofan.,Shi, Haiyang.,...&Luo, Geping.(2023).Monitoring of carbon-water fluxes at Eurasian meteorological stations using random forest and remote sensing.SCIENTIFIC DATA,10(1),18.
MLA Xie, Mingjuan,et al."Monitoring of carbon-water fluxes at Eurasian meteorological stations using random forest and remote sensing".SCIENTIFIC DATA 10.1(2023):18.

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来源：地理科学与资源研究所

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