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Sökning: id:"swepub:oai:lup.lub.lu.se:d73171d4-11b1-4b85-a2dc-6225e5df3187" > New data-driven est...

New data-driven estimation of terrestrial CO2 fluxes in Asia using a standardized database of eddy covariance measurements, remote sensing data, and support vector regression

Ichii, Kazuhito (författare)
Japan Agency for Marine-Earth Science and Technology,National Institute for Environmental Studies of Japan,Chiba University
Ueyama, Masahito (författare)
Osaka Prefecture University
Kondo, Masayuki (författare)
Chiba University,Japan Agency for Marine-Earth Science and Technology
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Saigusa, Nobuko (författare)
National Institute for Environmental Studies of Japan
Kim, Joon (författare)
Seoul National University
Alberto, Ma Carmelita (författare)
International Rice Research Institute (IRRI)
Ardö, Jonas (författare)
Lund University,Lunds universitet,Institutionen för naturgeografi och ekosystemvetenskap,Naturvetenskapliga fakulteten,Dept of Physical Geography and Ecosystem Science,Faculty of Science
Euskirchen, Eugénie S. (författare)
University of Alaska Fairbanks
Kang, Minseok (författare)
Seoul National University
Hirano, Takashi (författare)
Hokkaido University
Joiner, Joanna (författare)
NASA Goddard Space Flight Center
Kobayashi, Hideki (författare)
Japan Agency for Marine-Earth Science and Technology
Marchesini, Luca Belelli (författare)
Vrije Universiteit Amsterdam,Far Eastern Federal University
Merbold, Lutz (författare)
International Livestock Research Institute Nairobi,ETH Zürich
Miyata, Akira (författare)
Institute for Agro-Environmental Sciences, NARO
Saitoh, Taku M. (författare)
Gifu University
Takagi, Kentaro (författare)
Hokkaido University
Varlagin, Andrej (författare)
Severtsov Institute of Ecology and Evolution, Russian Academy of Sciences
Bret-Harte, M. Syndonia (författare)
University of Alaska Fairbanks
Kitamura, Kenzo (författare)
Forestry and Forest Products Research Institute
Kosugi, Yoshiko (författare)
Kyoto University
Kotani, Ayumi (författare)
Nagoya University
Kumar, Kireet (författare)
G. B. Pant National Institute of Himalayan Environment and Sustainable Development
Li, Sheng Gong (författare)
Institute of Geographical Sciences and Natural Resources Research Chinese Academy of Sciences
Machimura, Takashi (författare)
Osaka University
Matsuura, Yojiro (författare)
Forestry and Forest Products Research Institute
Mizoguchi, Yasuko (författare)
Forestry and Forest Products Research Institute
Ohta, Takeshi (författare)
Nagoya University
Mukherjee, Sandipan (författare)
G. B. Pant National Institute of Himalayan Environment and Sustainable Development
Yanagi, Yuji (författare)
Japan Agency for Marine-Earth Science and Technology
Yasuda, Yukio (författare)
Forestry and Forest Products Research Institute
Zhang, Yiping (författare)
Chinese Academy of Sciences
Zhao, Fenghua (författare)
Institute of Geographical Sciences and Natural Resources Research Chinese Academy of Sciences
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 (creator_code:org_t)
2017
2017
Engelska.
Ingår i: Journal of Geophysical Research - Biogeosciences. - 2169-8953. ; 122:4, s. 767-795
Relaterad länk:
http://dx.doi.org/10...
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https://lup.lub.lu.s...
https://doi.org/10.1...
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  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
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  • The lack of a standardized database of eddy covariance observations has been an obstacle for data-driven estimation of terrestrial CO2 fluxes in Asia. In this study, we developed such a standardized database using 54 sites from various databases by applying consistent postprocessing for data-driven estimation of gross primary productivity (GPP) and net ecosystem CO2 exchange (NEE). Data-driven estimation was conducted by using a machine learning algorithm: support vector regression (SVR), with remote sensing data for 2000 to 2015 period. Site-level evaluation of the estimated CO2 fluxes shows that although performance varies in different vegetation and climate classifications, GPP and NEE at 8days are reproduced (e.g., r2=0.73 and 0.42 for 8day GPP and NEE). Evaluation of spatially estimated GPP with Global Ozone Monitoring Experiment 2 sensor-based Sun-induced chlorophyll fluorescence shows that monthly GPP variations at subcontinental scale were reproduced by SVR (r2=1.00, 0.94, 0.91, and 0.89 for Siberia, East Asia, South Asia, and Southeast Asia, respectively). Evaluation of spatially estimated NEE with net atmosphere-land CO2 fluxes of Greenhouse Gases Observing Satellite (GOSAT) Level 4A product shows that monthly variations of these data were consistent in Siberia and East Asia; meanwhile, inconsistency was found in South Asia and Southeast Asia. Furthermore, differences in the land CO2 fluxes from SVR-NEE and GOSAT Level 4A were partially explained by accounting for the differences in the definition of land CO2 fluxes. These data-driven estimates can provide a new opportunity to assess CO2 fluxes in Asia and evaluate and constrain terrestrial ecosystem models.

Ämnesord

NATURVETENSKAP  -- Geovetenskap och miljövetenskap -- Klimatforskning (hsv//swe)
NATURAL SCIENCES  -- Earth and Related Environmental Sciences -- Climate Research (hsv//eng)

Nyckelord

Asia
Data-driven model
Eddy covariance data
Remote sensing
Terrestrial CO flux
Upscaling

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art (ämneskategori)
ref (ämneskategori)

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