Rchr
J-GLOBAL ID：201901015295796882   Update date: Oct. 21, 2024

shingo shimizu

shingo shimizu
Affiliation and department：
National Research Institute for Earth Science and Disaster Prevention

About National Research Institute for Earth Science and Disaster Prevention


Other affiliations (1)：
Research field  (1)： Atmospheric and hydrospheric science
Research keywords  (5)： Multiple Doppler radar analysis ,  Data assimilation ,  Cloud-Resolving numerical model ,  Weather Radar ,  Mesoscale Meteorology
Research theme for competitive and other funds  (14)：
  • 2023 - 2027 TBD
  • 2022 - 2027 Heavy precipitation in the late Baiu-Meiyu season and water vapor transport
  • 2022 - 2026 Developments in heavy rainfall and the river discharge forecast technologies - Implementation of ensemble forecasts -
  • 2022 - 2026 New development of prediction technology for heavy rain events and the related river discharges - Implementation of ensemble predictions -
  • 2021 - 2026 Study of dynamic-thermodynamic structure and intensification process of super-typhoon by aircraft observation
Show all
Papers (54)：
  • Ryohei KATO, Shingo SHIMIZU, Ken-ichi SHIMOSE, Kohin HIRANO, Koichi SHIRAISHI, Satoru YOSHIDA, Tetsu SAKAI, Tomohiro NAGAI. Improvement of Two-Hour-Ahead QPF Using Blending Technique with Spatial Maximum Filter for Tolerating Forecast Displacement Errors and Water Vapor Lidar Assimilation. Journal of the Meteorological Society of Japan. Ser. II. 2024
  • Shitao Zheng, Takashi Miyamoto, Shingo Shimizu, Ryohei Kato, Koyuru Iwanami. Coordinate-Transformed Dynamic Mode Decomposition for Short-Term Rainfall Forecasting. IEEE Transactions on Geoscience and Remote Sensing. 2024. 62. 1-17
  • Shingo Shimizu. Editorial of Special Edition: Research on Extreme Weather Events That Occurred around East Asia in 2017-2021. SOLA. 2023. 19A. Special_Edition. 1-3
  • Shitao Zheng, Takashi Miyamoto, Shingo Shimizu, Ryohei Kato, Koyuru Iwanami. Physics-Informed Data-Driven Model for Short-Term Precipitation Prediction Using Radar-Observed Big Data. IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium. 2022
  • HATSUZUKA Daisuke, KATO Ryohei, SHIMIZU Shingo, SHIMOSE Ken-ichi. Verification of Forecasted Three-Hour Accumulated Precipitation Associated with “Senjo-Kousuitai” from Very-Short-Range Forecasting Operated by the JMA. Journal of the Meteorological Society of Japan. Ser. II. 2022. 100. 6. 995-1005
ｍore...
MISC (136)：
  • 清水慎吾. 水蒸気観測網整備による線状降水帯の短時間雨量予測の精度向上への挑戦. 計測技術. 2023. 51. 9. 1-6
  • 清水慎吾. 線状降水帯の予測精度向上と予測技術の社会実装にむけた取り組み. 建築防災. 2023. 545. 7-13
  • INOUE Jun, INOUE Jun, SATO Kazutoshi, YOSHIDA Atsushi, TOBO Yutaka, TOBO Yutaka, TOMIKAWA Yoshihiro, TOMIKAWA Yoshihiro, YOSHIDA Yuji, KONDO Fumiyoshi, et al. Clouds, aerosols, and atmospheric circulations over the Southern Ocean. 極域科学シンポジウム(Web). 2022. 13th
  • 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
  • 清水慎吾. 線状降水帯の早期発生及び発達予測情報の高度化と自治体との観測・予測情報の利活用に関する実証実験. 建築防災. 2021. 7. 5-11
ｍore...
Patents (9)：
  • Methods and devices for rainfall forecast
  • TBD
  • TBD
  • Forecast system for cumulonimbus
  • Methods and devices for risk forecast of lightning
ｍore...
Lectures and oral presentations  (25)：
  • 線状降水帯の最新観測・予測研究
    (第30回共創考究会 2023)
  • 線状降水帯の予測情報の高度化と利活用
    (令和5年度 第2回 災害レジリエンス共創研究会 セミナー 2023)
  • 極端気象予測の精度向上にむけた最新観測・予測研究の紹介
    (第41回レーザセンシングシンポジウム 2023)
  • Improving Disaster Resilience Using “Real-Time Observation/Forecasting Systems for Torrential Rainfall” and “Shared Information Platform for Disaster Management (SIP4D)"
    (URSI GASS 2023 2023)
  • Development of data assimilation system using "Raman lidar for water-vapor and temperature" to improve cloud-scale forecastability
    (Japan Geoscience Union Meeting 2023 2023)
ｍore...
Education (3)：
  • 2003 - 2006 Nagoya University Graduate School of Environmental Studies Department of Earth and Environmental Sciences
  • 2001 - 2003 Nagoya University Graduate School of Environmental Studies Department of Earth and Environmental Sciences
  • 1997 - 2001 Hokkaido University School of Science Earth Sciences
Professional career (1)：
  • 博士(理学) (名古屋大学)
Work history (8)：
  • 2023/10 - 現在 National Research Institute for Earth Science and Disaster Resilience
  • 2022/04 - 現在 Yokohama National University Typhoon Science and Technology Research Center
  • 2012/04 - 現在 National Reseach Institute for Earth Science and Disaster Resilience Storm, flood, and land-slide research department Senior Researcher
  • 2018/12 - 2023/03 National Research Institute for Earth Science and Disaster Prevention
  • 2018/04 - 2022/03 国立大学法人鹿児島大学 地震火山地域防災センター 客員准教授
Show all
Committee career (4)：
  • 2020/12 - 現在 Japan Meteorological Agency Working Group for the aim of improving predictability of quasi-stationary linear precipitation system
  • 2020/04 - 現在 日本気象学会 気象集誌編集委員
  • 2023/04 - 2023/08 科学技術振興機構 ムーンショット目標8「2050年までに、激甚化しつつある台風や豪雨を制御し極端 風水害の脅威から解放された安心安全な社会を実現」 外部有識者
  • 2021/03 - 2023/03 Journal of Meteorological Society of Japan Chief Editor
Awards (4)：
  • 2024/04 - Ministry of Education, Culture, Sports, Science and Technology The Commendation for Science and Technology by the Minister of Education, Culture, Sports, Science and Technology Awards for Science and Technology
  • 2023/12 - Journal of Disaster Research (Fuji Technology Press Inc.) JDR AWARD FOR THE MOST CITED PAPER 2023
  • 2022/04 - Japan Weather Association Okada Award in 2021
  • 2022/04 - National Research Institte for Earth Science and Disaster Resilience NIED president Award
Association Membership(s) (2)：
JAPAN GEOSCIENCE UNION ,  the Meteorological Society of Japan
※ Researcher’s information displayed in J-GLOBAL is based on the information registered in researchmap. For details, see here.

Return to Previous Page

TOP

BOTTOM