Kawabata Takuya

カワバタタクヤ | Kawabata Takuya

Affiliation and department：
Other affiliations (1)：

Research field (1)： Atmospheric and hydrospheric science

Research keywords (2)：メソ気象 , data assimilation

Research theme for competitive and other funds (16)：

2022 - 2027 Development and experimental validation of water vapor and wind lidar for early prediction of heavy rain
2022 - 2026 適切な感情喚起による減災意図-行動ギャップの解消を目指したfMRI実験と行動実験(分担)
2023 - 2024 アンサンブルデータを用いた気象現象の理解
2023 - 2024 気象学的および数理的アプローチによる線状降水帯のメカニズム解明
2021 - 2024 Investigation on environmental conditions contributing to the generation and development of "senjo-kousuitai" with a large ensemble of high-resolution simulations

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Papers (34)：

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
Kenichiro Kobayashi, Le Duc, Takuya Kawabata, Atsushi Tamura, Tsutao Oizumi, Kazuo Saito, Daisuke Nohara, Tetsuya Sumi. Ensemble rainfall-runoff and inundation simulations using 100 and 1000 member rainfalls by 4D LETKF on the Kumagawa River flooding 2020. Progress in Earth and Planetary Science. 2023. 10. 1
Ken Sawada, Naoko Seino, Takuya Kawabata, Hiromu Seko. Impacts of an Urban Canopy Scheme and Surface Observation Data on a Heavy Rain Event through Data Assimilation. SOLA. 2023. 19B. Special_Edition. 1-8
Atsushi Takahashi, Tetsu Sakai, Takuya Kawabata, Satoru Yoshida, Naonori Ueda. Balance plot for visualizing and examining tradeoff between accuracy and data quantity of lidar water vapor measurement data. 2022. 3. 2. 124-135
Tadashi Fujita, Hiromu Seko, Takuya Kawabata. Effects of Flow Dependency Introduced by Background Error in Frequent and Dense Assimilation of Radial Winds Using Observation Error Correlated in Time and Space. Monthly Weather Review. 2022. 150. 3. 481-503

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MISC (102)：

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, 伊藤耕介, 村上大輔, 大石俊, et al. 第11回データ同化ワークショップの報告. 天気. 2021. 68. 9. 465
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
Report on the 21st Workshop on Non-hydrostatic numerical modeling. 天気. 2021. 68. 5. 263-267
佐藤正樹, 川畑拓矢, 宮川知己, 八代尚, 三好建正. 「富岳」による新時代の大アンサンブル気象・大気環境予測. 繊維学会誌. 2021. 77. 2. 54-58
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, 眞木貴史, 土居知将, 野村俊一, et al. 第10回データ同化ワークショップの報告. 天気. 2020. 67. 8. 455-458

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Books (3)：

Lectures and oral presentations (117)：

The impact-based forecasting with a large-ensemble DA
(The 9th International Symposium on Data Assimilation 2023)
The impact-based forecasting with a large-ensemble DA
(The 6th International Workshop on Nonhydrostatic Models 2023)
大アンサンブルシミュレーションによる線状降水帯と洪水の確率予測
(日本気象学会関西支部夏季大学 2023)
大アンサンブルによる Impact-based forecasting
(2023年度日本気象学会春季大会 2023)
線状降水帯を知る -そのメカニズムと予測について-
(第2回スーパーコンピュータ「富岳」成果創出加速プログラムシンポジウム「富岳百景」 2022)

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Education (1)：

Professional career (1)：

Work history (1)：

Committee career (4)：

Association Membership(s) (2)：

JAPAN GEOSCIENCE UNION , the Meteorological Society of Japan

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