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Department of Environmental Science, Faculty of Science, Shinshu University

Laboratory of Micrometeorology

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Research

[Current research]

Greenhouse gas emissions from lakes
Water vapor and carbon dioxide exchanges in alpine ecosystems
Greenhouse gas exchange in boreal forests
Improvements of surface flux observation using the eddy covariance technique

[Research funds]

Grants-in-Aid for Scientific Research (A) PI: Analysis of methane emission responses associated with eutrophication in shallow lakes based on multifaceted carbon flow assessment, 2025-2029
Fund for the Promotion of Joint International Research (International Collaborative Research): Latitudinal differences of methane emission from lakes -from tropical to temperate-, 2023-2025; PI: Masayuki Itoh (Kyoto University)
Grant-in-Aid for Scientific Research (B) PI: How does the seasonal and interannual variations in methane emission respond to the eutrophication in a shallow lake?, 2021-2025
Grant-in-Aid for Scientific Research (C): Development of soil moisture model of extremely thin ground surface which is an indicator and influence for occurrence of wind erosion, 2018-2020; PI: Jun Suzuki (Shinshu University)
Grant-in-Aid for Young Scientists (A) PI: Evaluation of methane emission from a mid-latitude shallow lake using eddy covariance observations and dissolved methane concentration measurements, 2017-2020
Grant-in-Aid for Young Scientists (B) PI: Evaluation of heat and gas exchanges at the atmosphere-land interface considering the effect of low-frequency transport, 2015-2016
Grant-in-Aid for Scientific Research (B): Observation of methane budget and establish of the regional database for Arctic warming studies, 2014-2016; PI: Yoshinobu Harazono (Osaka Prefecture University)
Grant-in-Aid for Scientific Research (A): Evaluation of the response of gas exchange between tropical rainforests and the atmosphere to the climate change based on the long-term tower observation, 2012-2016; PI: Yoshiko Kosugi (Kyoto University)
Grant-in-Aid for Scientific Research (S): Prediction of catchment runoff changes based on characterizing a nested structure consisting of the developments of topography, soil and vegetation, 2011-2015; PI: Makoto Tani (Kyoto University)