Rchr
J-GLOBAL ID：201801007651185400
Update date: Sep. 11, 2024
Honda Takumi
Honda Takumi
Affiliation and department：
Job title：
Associate Professor
Research field (1)：
Atmospheric and hydrospheric science
Research theme for competitive and other funds (3)：
- 2020 - 2024 Exploring the predictability limit of sudden rainfall using high-resolution ensemble forecasts
- 2020 - 2024 次世代の天気予報での雷予報を見据えた先駆的雷気象モデルの開発
- 2020 - 2023 基礎科学特別研究員
Papers (19)：
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T. Honda, A. Yamazaki. Machine Learning Enables Real-Time Proactive Quality Control: A Proof-Of-Concept Study. Geophysical Research Letters. 2024. 51. 6
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Kazuo Saito, Takuya Kawabata, Hiromu Seko, Takemasa Miyoshi, Le Duc, Tsutao Oizumi, Masaru Kunii, Guixing Chen, Kosuke Ito, Junshi Ito, et al. Forecast and Numerical Simulation Studies on Meso/Micro-scale High-Impact Weathers Using High-Performance Computing in Japan. Numerical Weather Prediction: East Asian Perspectives. 2023. 461-481
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Takemasa Miyoshi, Arata Amemiya, Shigenori Otsuka, Yasumitsu Maejima, James Taylor, Takumi Honda, Hirofumi Tomita, Seiya Nishizawa, Kenta Sueki, Tsuyoshi Yamaura, et al. Big Data Assimilation: Real-time 30-second-refresh Heavy Rain Forecast Using Fugaku During Tokyo Olympics and Paralympics. Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis. 2023
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Honda T, Sato, Y, Miyoshi, T. Regression-based ensemble perturbations for the zero-gradient issue posed in lightning-flash data assimilation with an ensemble Kalman filter. Monthly Weather Review. 2023. 151. 10. 2573-2586
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T. Honda. Development of a polar mesocyclone and associated environmental characteristics during the heavy snowfall event in Sapporo, Japan, in early February 2022. Journal of Geophysical Research: Atmospheres. 2023
ｍore...
Lectures and oral presentations (61)：
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機械学習の数値天気予報への応用例: 観測インパクト推定
(低気圧と暴風雨に係るワークショップ 2024 2024)
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数値天気予報への機械学習の応用へ向けた検討
(WeSCoS Colloquium 2024)
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機械学習の数値天気予報への応用例: 観測インパクト推定
(JAMSTEC APLゲストセミナー 2024)
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Machine learning enables real-time proactive quality control: A proof-of-concept study
(Japan Geoscience Union Meeting 2024 2024)
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突発的な豪雨の予測可能性限界: 2019年8月24日事例
(日本気象学会春季大会)
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Education (3)：
- 2012 - 2015 Kyushu University Graduate School of Sciences Department of Earth and Planetary Sciences
- 2010 - 2012 Kyushu University Graduate School of Sciences
- 2006 - 2010 Kyushu University School of Sciences Department of Earth and Planetary Sciences
Professional career (1)：
Work history (4)：
- 2024/04 - 現在 The University of Tokyo Interdisciplinary Information Science Research Division, Information Technology Center Associate Professor
- 2022/04 - 2024/03 Hokkaido University Department of Earth and Planetary Sciences, Faculty of Science Research Assistant Professor
- 2020/04 - 2022/03 RIKEN Center for Computational Science Data Assimilation Research Team Special postdoctoral researcher
- 2015/04 - 2020/03 RIKEN Center for Computational Science Data Assimilation Research Team Postdoctoral researcher
Committee career (4)：
- 2024/07 - 現在 日本気象学会松野賞候補者推薦委員会 委員
- 2024/07 - 現在 Scientific Online Letters on the Atmosphere (SOLA) Editor
- 2023/08 - 2024/06 Scientific Online Letters on the Atmosphere (SOLA) Guest editor
- 2022/07 - 2024/06 日本気象学会松野賞候補者推薦委員会 運営委員
Awards (3)：
- 2018/10 - 日本気象学会 山本賞 新世代静止気象衛星観測のデータ同化に関する研究
- 2018/03 - 理化学研究所 研究奨励賞 Improvement of Typhoon and heavy rainfall predictions by assimilating radiance observations from a new generation satellite “Himawari-8”
- 2015/03 - 日本気象学会九州支部 支部奨励賞
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