Rchr
J-GLOBAL ID：200901045487642381   Update date: Jan. 30, 2024

Nakagawa Katsuhiro

ナカガワ カツヒロ | Nakagawa Katsuhiro
Affiliation and department：
National Institute of Information and Communications Technology

About National Institute of Information and Communications Technology


Research field  (2)： Measurement engineering ,  Hydroengineering
Research keywords  (6)： 水工学 ,  レーダ水文学 ,  水文学 ,  Hydraulic engineering ,  Radar meteorology ,  Hydrology
Research theme for competitive and other funds  (15)：
  • 2017 - 2022 Analysis of cloud microphysics and vertical velocity by synergy use of next generation space-borne active sensors
  • 2018 - 2021 Development of a new 400MHz radiosonde sensor to measure the electric charge of precipitation particles in clouds
  • 2015 - 2020 Integrated Research on State-of-the-art Multi-sensors In-situ Observation of Storm Genesis and Reduction of Serious Disaster due to Heavy Rainfall
  • 2015 - 2016 マルチセンサー・ビデオゾンデ同期観測によるゲリラ豪雨タマゴの生起と発達過程の解明
  • 2013 - 2016 An estimation of the upper-layer heating rate and in-situ observation of cloud ice of the typhoon-outflow layer controlling typhoon intensity
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Papers (60)：
  • Philippe Baron, Kohei Kawashima, Dong-Kyun Kim, Hiroshi Hanado, Seiji Kawamura, Takeshi Maesaka, Katsuhiro Nakagawa, Shinsuke Satoh, Tomoo Ushio. Nowcasting Multi-Parameter Phased-Array Weather Radar (MP-PAWR) echoes of localized heavy precipitation using a 3D Recurrent Neural Network trained with an adversarial technique. Journal of Atmospheric and Oceanic Technology. 2023
  • Yukie Moroda, Kazuhisa Tsuboki, Shinsuke Satoh, Katsuhiro Nakagawa, Tomoo Ushio, Hiroshi Kikuchi. Lightning Bubbles Caused by Upward Reflectivity Pulses above Precipitation Cores of a Thundercloud. Scientific Online Letters on the Atmosphere. 2022. 18. 110-115
  • Philippe Baron, Dong-Kyun Kim, Kohei Kawashima, Hiroshi Hanado, Takeshi Maesaka, Tomoaki Mega, Shinsuke Satoh, Eiichi Yoshikawa, Seiji Kawamura, Katsuhiro Nakagawa, et al. Comparative study of deep neural networks for very short-term prediction of torrential rains using polarimetric Phased-Array Weather Radar (MP-PAWR). SPIE Future Sensing Technologies 2021. 2021
  • Philippe Baron, Hiroshi Hanado, Dong-Kyun Kim, Seiji Kawamura, Takeshi Maesaka, Katsuhiro Nakagawa, Tomoo Ushio. Very short-term prediction of torrential rains using polarimetric phased-array radar (MP-PAWR) and deep neural networks. Remote Sensing of Clouds and the Atmosphere XXVI. 2021
  • Tomoaki Nishizawa, Yoshitaka Jin, Nobuo Sugimoto, Kaori Sato, Masahiro Fujikawa, Shoken Ishii, Makoto Aoki, Katsuhiro Nakagawa, Hajime Okamoto. Observation of clouds, aerosols, and precipitation by multiple-field-of-view multiple-scattering polarization lidar at 355 nm. Journal of Quantitative Spectroscopy and Radiative Transfer. 2021. 271. 107710-107710
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MISC (134)：
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Patents (2)：
  • 山岳域の降雨強度推定方法及びシステム
  • METHOD AND SYSTEM FOR ESTIMATION OF RAIFALL INTENSITY IN MOUNTAINOUS AREA
Education (3)：
  • 1995 - 1998 Kyoto University
  • 1993 - 1995 Kyoto University
  • 1989 - 1993 Kindai University Faculty of Science and Engineering
Professional career (1)：
  • 博士(工学)
Work history (14)：
  • 2023/04 - 現在 埼玉大学 大学院理工学研究科 特任教授
  • 2023/04 - 現在 National Institute of Information and Communications Technology
  • 2021/04 - 2023/03 National Institute of Information and Communications Technology
  • 2018/04 - 2023/03 Saitama University Graduate School of Science and Engineering
  • 2017/12 - 2021/03 National Institute of Information and Communications Technology
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Awards (2)：
  • 2023/05 - 公益社団法人 日本気象学会 日本気象学会 2023 年度岸保・立平賞 「Cバンド固体素子二重偏波気象レーダーの社会実装への貢献」
  • 1997/02 - 公益社団法人 土木学会 水工学論文奨励賞 「降雨タイプに依存した雨滴粒径分布パラメータとその鉛直分布」
Association Membership(s) (3)：
American Meteorological Society ,  土木学会 ,  水文・水資源学会
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