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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
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- Ichii, Kazuhito (author)
- National Institute for Environmental Studies of Japan,Chiba University,Japan Agency for Marine-Earth Science and Technology
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- Ueyama, Masahito (author)
- Osaka Prefecture University
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- Kondo, Masayuki (author)
- Chiba University,Japan Agency for Marine-Earth Science and Technology
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- Saigusa, Nobuko (author)
- National Institute for Environmental Studies of Japan
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- Kim, Joon (author)
- Seoul National University
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- Alberto, Ma Carmelita (author)
- International Rice Research Institute (IRRI)
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- Ardö, Jonas (author)
- Lund University,Lunds universitet,Institutionen för naturgeografi och ekosystemvetenskap,Naturvetenskapliga fakulteten,Dept of Physical Geography and Ecosystem Science,Faculty of Science
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- Euskirchen, Eugénie S. (author)
- University of Alaska Fairbanks
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- Kang, Minseok (author)
- Seoul National University
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- Hirano, Takashi (author)
- Hokkaido University
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- Joiner, Joanna (author)
- NASA Goddard Space Flight Center
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- Kobayashi, Hideki (author)
- Japan Agency for Marine-Earth Science and Technology
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- Marchesini, Luca Belelli (author)
- Far Eastern Federal University,Vrije Universiteit Amsterdam
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- Merbold, Lutz (author)
- International Livestock Research Institute Nairobi,ETH Zürich
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- Miyata, Akira (author)
- Institute for Agro-Environmental Sciences, NARO
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- Saitoh, Taku M. (author)
- Gifu University
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- Takagi, Kentaro (author)
- Hokkaido University
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- Varlagin, Andrej (author)
- Severtsov Institute of Ecology and Evolution, Russian Academy of Sciences
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- Bret-Harte, M. Syndonia (author)
- University of Alaska Fairbanks
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- Kitamura, Kenzo (author)
- Forestry and Forest Products Research Institute
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- Kosugi, Yoshiko (author)
- Kyoto University
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- Kotani, Ayumi (author)
- Nagoya University
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- Kumar, Kireet (author)
- G. B. Pant National Institute of Himalayan Environment and Sustainable Development
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- Li, Sheng Gong (author)
- Institute of Geographical Sciences and Natural Resources Research Chinese Academy of Sciences
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- Machimura, Takashi (author)
- Osaka University
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- Matsuura, Yojiro (author)
- Forestry and Forest Products Research Institute
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- Mizoguchi, Yasuko (author)
- Forestry and Forest Products Research Institute
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- Ohta, Takeshi (author)
- Nagoya University
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- Mukherjee, Sandipan (author)
- G. B. Pant National Institute of Himalayan Environment and Sustainable Development
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- Yanagi, Yuji (author)
- Japan Agency for Marine-Earth Science and Technology
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- Yasuda, Yukio (author)
- Forestry and Forest Products Research Institute
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- Zhang, Yiping (author)
- Chinese Academy of Sciences
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- Zhao, Fenghua (author)
- Institute of Geographical Sciences and Natural Resources Research Chinese Academy of Sciences
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(creator_code:org_t)
- 2017
- 2017
- English.
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In: Journal of Geophysical Research - Biogeosciences. - 2169-8953. ; 122:4, s. 767-795
- Related links:
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http://dx.doi.org/10...
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https://lup.lub.lu.s...
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https://doi.org/10.1...
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Abstract
Subject headings
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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.
Subject headings
- NATURVETENSKAP -- Geovetenskap och miljövetenskap -- Klimatforskning (hsv//swe)
- NATURAL SCIENCES -- Earth and Related Environmental Sciences -- Climate Research (hsv//eng)
Keyword
- Asia
- Data-driven model
- Eddy covariance data
- Remote sensing
- Terrestrial CO flux
- Upscaling
Publication and Content Type
- art (subject category)
- ref (subject category)
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- By the author/editor
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Ichii, Kazuhito
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Ueyama, Masahito
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Kondo, Masayuki
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Saigusa, Nobuko
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Kim, Joon
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Alberto, Ma Carm ...
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show more...
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Ardö, Jonas
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Euskirchen, Eugé ...
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Kang, Minseok
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Hirano, Takashi
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Joiner, Joanna
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Kobayashi, Hidek ...
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Marchesini, Luca ...
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Merbold, Lutz
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Miyata, Akira
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Saitoh, Taku M.
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Takagi, Kentaro
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Varlagin, Andrej
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Bret-Harte, M. S ...
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Kitamura, Kenzo
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Kosugi, Yoshiko
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Kotani, Ayumi
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Kumar, Kireet
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Li, Sheng Gong
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Machimura, Takas ...
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Matsuura, Yojiro
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Mizoguchi, Yasuk ...
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Ohta, Takeshi
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Mukherjee, Sandi ...
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Yanagi, Yuji
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Yasuda, Yukio
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Zhang, Yiping
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Zhao, Fenghua
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- About the subject
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- NATURAL SCIENCES
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NATURAL SCIENCES
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and Earth and Relate ...
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and Climate Research
- Articles in the publication
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Journal of Geoph ...
- By the university
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Lund University