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J-GLOBAL ID:202201007207965257   Update date: Oct. 31, 2024

Miyauchi Tatsuya

ミヤウチ タツヤ | Miyauchi Tatsuya
Affiliation and department:
Job title: Project assistant professor
Research theme for competitive and other funds  (2):
  • 2024 - 2027 太陽光誘起クロロフィル蛍光のデータ同化による生態系光合成の高精度シミュレーション
  • 2022 - 2026 Measurement and modeling of solar-induced chlorophyll fluorescence in tropical forest
Papers (13):
  • Zhanzhuo Chen, Tomomichi Kato, Akihiko Ito, Tatsuya Miyauchi, Yoshiyuki Takahashi, Jing Tang. Process-Based Modeling of Ecosystem-Level Monoterpene From a Japanese Larch (Larix kaempferi) Forest. Journal of Geophysical Research: Biogeosciences. 2024
  • Reza Kusuma Nurrohman, Tomomichi Kato, Hideki Ninomiya, Lea Végh, Nicolas Delbart, Tatsuya Miyauchi, Hisashi Sato, Tomohiro Shiraishi, Ryuichi Hirata. Future projections of Siberian wildfire and aerosol emissions. Biogeosciences. 2024. 21. 18. 4195-4227
  • Tatsuya Miyauchi, Makoto Saito, Hibiki M. Noda, Akihiko Ito, Tomomichi Kato, Tsuneo Matsunaga. Process-based Modeling of Solar-induced Chlorophyll Fluorescence with VISIT-SIF version 1.0. 2024
  • Reza Kusuma Nurrohman, Tomomichi Kato, Hideki Ninomiya, Lea Végh, Nicolas Delbart, Tatsuya Miyauchi, Hisashi Sato, Tomohiro Shiraishi, Ryuichi Hirata. Supplementary material to "Future prediction of Siberian wildfire and aerosol emissions via the improved fire module of the spatially explicit individual-based dynamic global vegetation model". 2024
  • Reza Kusuma Nurrohman, Tomomichi Kato, Hideki Ninomiya, Lea Végh, Nicolas Delbart, Tatsuya Miyauchi, Hisashi Sato, Tomohiro Shiraishi, Ryuichi Hirata. Future prediction of Siberian wildfire and aerosol emissions via the improved fire module of the spatially explicit individual-based dynamic global vegetation model. 2024
more...
Lectures and oral presentations  (31):
  • Data assimilation of multilayer SIF emission by VISIT-SIF for better GPP estimation in a cool-temperate forest in Takayama
    (2023)
  • Parameter optimization of terrestrial ecosystem model using tower-observed solar-induced chlorophyll fluorescence in a cool-temperate forest in Japan
    (AGU Fall Meeting 2022)
  • Estimating solar-induced chlorophyll fluorescence using process-based ecosystem model VISIT-SIF
    (JpGU Meeting 2021 2021)
  • 態系プロセスモデルを用いた太陽光励起クロロフィル蛍光のシミュレーションおよび衛星観測データを用いた検証
    (生態工学会年次大会 2021)
  • Saito M., Niwa Y., Saeki T., Murakami K., Miyauchi T., Yashiro H., Shiraishi T., Hirata R., Yoshida Y., Morino I., Noda H., Ohyama H., Kamei A., Matsunaga T.
    (AGU Fall meeting 2020)
more...
Education (1):
  • 2012 - 2017 Osaka University Graduate School of Engineering Division of Sustainable Energy and Environmental Engineering
Professional career (1):
  • Ph.D. (Eng.) (Osaka University)
Work history (3):
  • 2022/04 - 現在 Hokkaido University Graduate School of Agriculture Research Faculty of Agriculture
  • 2020/04 - 2022/03 National Institute for Environmental Studies ESD
  • 2017/04 - 2020/03 National Institute for Environmental Studies CGER
Awards (2):
  • 2021/06 - 生態工学会 論文賞
  • 2015/09 - 環境科学会 優秀発表賞(富士電機賞)
Association Membership(s) (1):
JpGU
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