Rchr
J-GLOBAL ID：201801004622655210
Update date: Nov. 05, 2024
Hashino Tempei
ハシノ テンペイ | Hashino Tempei
Affiliation and department：
Research field (1)：
Atmospheric and hydrospheric science
Research keywords (4)：
satellite remote sensing
, numerical experiments
, cloud physics
, meteorology
Research theme for competitive and other funds (3)：
- 2022 - 2025 Establishment of AI forecasting technology for the dam storage volume, rainfall, and river flow in Japan and other Asian countries
- 2021 - 2024 Maintenance of Arctic mixed-phase clouds - role of horizontal-wind vertical shear
- 2016 - 2019 Investigation of Arctic mixed-phase stratus clouds with a habit-prediction scheme
Papers (32)：
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Tempei Hashino, Masaki Satoh, Takuji Kubota, Tsuyoshi Koshiro, Kozo Okamoto, Yuichiro Hagihara, Hajime Okamoto, Tatsuya Seiki. Uncertainty in the Simulated Cloud Radar Signals Related to Sub-grid Precipitation With GCMs. 2024
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Junghwa Lee, Patric Seifert, Tempei Hashino, Maximilian Maahn, Fabian Senf, Oswald Knoth. Simulations of the impact of cloud condensation nuclei and ice-nucleating particles perturbations on the microphysics and radar reflectivity factor of stratiform mixed-phase clouds. Atmospheric Chemistry and Physics. 2024. 24. 10. 5737-5756
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Chia Rui Ong, Makoto Koike, Tempei Hashino, Hiroaki Miura. Responses of Simulated Arctic Mixed-Phase Clouds to Parameterized Ice Particle Shape. Journal of the Atmospheric Sciences. 2024. 81. 1. 125-152
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Masaki Satoh, Shuhei Matsugishi, Woosub Roh, Yasutaka Ikuta, Naomi Kuba, Tatsuya Seiki, Tempei Hashino, Hajime Okamoto. Evaluation of cloud and precipitation processes in regional and global models with ULTIMATE (ULTra-sIte for Measuring Atmosphere of Tokyo metropolitan Environment): a case study using the dual-polarization Doppler weather radars. Progress in Earth and Planetary Science. 2022. 9. 1
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Chia Rui Ong, Makoto Koike, Tempei Hashino, Hiroaki Miura. Modeling Performance of SCALE-AMPS: Simulations of Arctic Mixed-Phase Clouds Observed During SHEBA. Journal of Advances in Modeling Earth Systems. 2022. 14. 6
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MISC (6)：
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橋本明弘, 佐藤陽祐, 後藤俊幸, 齋藤泉, 野田暁, 大西領, 島伸一郎, 端野典平, Woosub Roh, 清木達也. 2018年度秋季大会専門分科会「雲微物理モデリングの現状と可能性」報告. 天気. 2019. 66. 5. 393-398
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久芳 奈遠美, 端野 典平, 鈴木 健太郎, 清木 達也, 佐藤 正樹. A202 衛星観測データの雲微物理学的解析(3) : ハイブリッド雲微物理モデルによるCFODDの解析(降水システムI,一般口頭発表). 大会講演予講集. 2015. 107. 194-194
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久芳 奈遠美, 端野 典平, 佐藤 正樹, 鈴木 健太郎. C303 衛星観測データの雲微物理学的解析(2) : ハイブリッド雲微物理モデルによるCFODDの解析(雲物理,一般口頭発表). 大会講演予講集. 2014. 105. 265-265
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久芳 奈遠美, 端野 典平, 佐藤 正樹, 鈴木 健太郎. A308 衛星観測データの雲微物理学的解析 : ハイブリッド雲微物理モデルによる数値実験(雲物理,口頭発表). 大会講演予講集. 2013. 103. 260-260
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端野 典平, 佐藤 正樹, 久保田 拓志, 那須野 智江, 萩原 雄一朗, 岡本 創, 松井 俊久. P108 衛星データシミュレータを用いた全球雲解像モデルの雲降水特性の評価(ポスター・セッション). 大会講演予講集. 2012. 102. 192-192
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Education (3)：
- 2003 - 2007 University of Wisconsin - Madison Atmospheric and Oceanic Sciences
- 2000 - 2002 University of Iowa Civil and Environmental Engineering
- 1995 - 1999 Kyoto University Civil Engineering
Professional career (1)：
- Ph. D (University of Wisconsin Madison)
Work history (6)：
Association Membership(s) (3)：
American Geophysical Union
, American Meteorological Society
, 日本気象学会
