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J-GLOBAL ID：201101067705643788
Update date: Apr. 03, 2025
Miyoshi Takemasa
ミヨシ タケマサ | Miyoshi Takemasa
Affiliation and department：
Other affiliations (6)：
Homepage URL (1)：
http://data-assimilation.riken.jp/~miyoshi/
Research field (1)：
Atmospheric and hydrospheric science
Research theme for competitive and other funds (7)：
- 2019 - 2024 Comprehensive picture of atmospheric circulation of Venus revealed by AKATSUKI data assimilation
- 2018 - 2021 Development of innovative data assimilation for reconstruction of weather and climate before 20th century
- 2019 - 2020 A study on the atmospheric circulation of Venus by the use of AKATSUKI data assimilation
- 2015 - 2018 Process based Crop Yield Prediction Using Satellite Observations
- 2013 - 2017 Study of covariability processes between the atmosphere and surface ocean using a coupled atmosphere-ocean data assimilation system
- 2013 - 2015 Construction of mathematical models for long-term forecast of atmospheric variation by climate time-series
- 2009 - 2014 Study of advanced data assimilation and cloud resolving ensemble technique
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Papers (190)：
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Shun Ohishi, Takemasa Miyoshi, Misako Kachi. Impact of atmospheric forcing on SST biases in the LETKF-based ocean research analysis (LORA). Ocean Modelling. 2024. 189. 102357-102357
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Jianyu Liang, Norihiko Sugimoto, Takemasa Miyoshi. Analyzing the Instabilities in the Venus Atmosphere Using Bred Vectors. Journal of Geophysical Research: Planets. 2024. 129. 4
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Ken Furukawa, Hideyuki Sakamoto, Marimo Ohhigashi, Shin-ichiro Shima, Travis Sluka, Takemasa Miyoshi. Particle Filter Data Assimilation with Chaotic Two-dimensional Three-state Cellular Automata. 2024
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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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MISC (137)：
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川畑 拓矢, 荒木 健太郎, 清水 慎吾, 下瀬 健一, 三好 建正, 前島 康光. 気象災害委員会・第54回メソ気象研究会「令和2年7月豪雨」報告. 天気. 2021. 68. 8. 443-446
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CHEN Ying-Wen, 寺崎康児, 小槻峻司, 佐藤正樹, 中野満寿男, 三好建正, 久保田拓志, 金丸佳矢. JAXAスパコンを用いた気象予測システム(NEXRA)の現状. 日本気象学会大会講演予稿集(CD-ROM). 2021. 119
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佐藤晋介, 磯田総子, 花土弘, 中川勝広, 柳瀬茉那美, 星絵里香, 小池佳奈, 大塚成徳, 三好建正. さいたまMP-PAWRのデータ品質管理~様々な非降水エコーの特徴~. 日本気象学会大会講演予稿集(CD-ROM). 2021. 119
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佐藤晋介, 磯田総子, 岩井宏徳, 花土弘, 中川勝広, 大塚成徳, 三好建正, 前坂剛, 清水慎吾. さいたまMP-PAWRで観測された2019年台風15号の強風域の3次元構造. 日本気象学会大会講演予稿集(CD-ROM). 2020. 117
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川畑 拓矢, 上野 玄太, 中野 慎也, 藤井 陽介, 三好 建正, 小守 信正, 増田 周平, 茂木 耕作, 小槻 峻司, 澤田 洋平, et al. シンポジウム 第9回データ同化ワークショップの報告. 2019. 66. 2. 161-164
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Professional career (1)：
- Ph.D. (University of Maryland)
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