Kato Ryohei 加藤亮平

Researcher Number	70811868
Other IDs
Affiliation (Current)	2025: 国立研究開発法人防災科学技術研究所, 極端気象災害研究領域水・土砂防災研究部門, 主任研究員
Affiliation (based on the past Project Information) *help	2021 – 2023: 国立研究開発法人防災科学技術研究所, 水・土砂防災研究部門, 主任研究員 2018 – 2020: 国立研究開発法人防災科学技術研究所, 水・土砂防災研究部門, 特別研究員 2017: 国立研究開発法人防災科学技術研究所, その他部局等, 特別研究員
Review Section/Research Field	Principal Investigator Basic Section 22040:Hydroengineering-related Except Principal Investigator Basic Section 17020:Atmospheric and hydrospheric sciences-related
Keywords	Principal Investigator 局地的大雨 / 数値予測 / データ同化 / 雲レーダー / 選択的同化 / ナウキャスト Except Principal Investigator フェーズドアレイレーダー / 降水レーダー / レーダー同化 / レーダー … More / タイムラプスカメラ / ゾンデ / 雲・降水同化 / 雷 / 雲レーダー / 積乱雲 / 中小河川の洪水流・氾濫流 / 斜面崩落・土石流・流木 / 地域防災の課題や生活再建支援のあり方 / 複合災害 / 中小河川の洪水氾濫流 / 流木 / 土石流 / 斜面崩落 / 中山間地域 / 平成29年7月九州北部豪雨 Less

Improvement of cloud radar assimilation methods for predicting local heavy rainfallPrincipal Investigator
- Principal Investigator
  
  加藤亮平
- Project Period (FY)
  2022 – 2024
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 22040:Hydroengineering-related
- Research Institution
  National Research Institute for Earth Science and Disaster Prevention
Reconstruction of a conceptual model for the structure and development process of cumulonimbus clouds by high-frequency 3-dimensional cloud, precipitation, and lightning observations
- Principal Investigator
  
  OHIGASHI Tadayasu
- Project Period (FY)
  2021 – 2023
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Review Section
  
  Basic Section 17020:Atmospheric and hydrospheric sciences-related
- Research Institution
  National Research Institute for Earth Science and Disaster Prevention
Development of cloud radar assimilation methods for local heavy rain predictionPrincipal Investigator
- Principal Investigator
  
  Kato Ryohei
- Project Period (FY)
  2018 – 2021
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 22040:Hydroengineering-related
- Research Institution
  National Research Institute for Earth Science and Disaster Prevention
Research and study on the heavy rainfall disaster due to the Kyushu-hokubu torrential rainfall in July 2017
- Principal Investigator
  
  Akiyama Juichiro
- Project Period (FY)
  2017
- Research Category
  
  Grant-in-Aid for Special Purposes
- Research Institution
  Kyushu Institute of Technology

All 2024 2023 2022 2019 2018 2017

All Journal Article Presentation

[Journal Article] Improvement of Two-Hour-Ahead QPF Using Blending Technique with Spatial Maximum Filter for Tolerating Forecast Displacement Errors and Water Vapor Lidar Assimilation2024
- Author(s)
  Ryohei Kato, Shingo Shimizu, Ken-Ichi Shimose, Kohin Hirano, Koichi Shiraishi, Satoru Yoshida, Tetsu Sakai, and Tomohiro Nagai
- Journal Title
  
  Journal of the Meteorological Society of Japan. Ser. II
  
  Volume: 102 Issue: 4 Pages: 445-464
- DOI
  10.2151/jmsj.2024-024
- ISSN
  0026-1165, 2186-9057
- Language
  English
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-22K04345
[Journal Article] Prediction of Meso-γ-Scale Local Heavy Rain by Ground-Based Cloud Radar Assimilation with Water Vapor Nudging2022
- Author(s)
  Kato Ryohei, Shimizu Shingo, Ohigashi Tadayasu, Maesaka Takeshi, Shimose Ken-ichi, Iwanami Koyuru
- Journal Title
  
  Weather and Forecasting
  
  Volume: 37 Issue: 9 Pages: 1553-1566
- DOI
  10.1175/waf-d-22-0017.1
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-22K04345, KAKENHI-PROJECT-21H01162
[Journal Article] Assimilation impact of high‐temporal‐resolution volume scans on quantitative precipitation forecasts in a severe storm: Evidence from nudging data assimilation experiments with a thermodynamic retrieval method2019
- Author(s)
  S. Shimizu, K. Iwanami and R. Kato, N. Sakurai, T. Maesaka, K. Kieda, Y. Shusse, S. Suzuki
- Journal Title
  
  Quartery Journal of the Royal Meteorological Society
  
  Volume: 13 Issue: 722 Pages: 2139-2160
- DOI
  10.1002/qj.3548
- Peer Reviewed / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K13841, KAKENHI-PROJECT-17H00852, KAKENHI-PROJECT-18H01673
[Presentation] 局地的大雨予測に対する雲レーダー同化手法の高度化 ―積乱雲自動追跡による選択的同化手法の開発―2024
- Author(s)
  加藤亮平;清水慎吾;大東忠保;前坂剛;下瀬健一;岩波越
- Organizer
  日本気象学会2024春季大会
- Data Source
  KAKENHI-PROJECT-22K04345
[Presentation] Development of cloud radar assimilation method for local heavy rain prediction2023
- Author(s)
  Kato, R., S. Shimizu, T. Ohigashi, T. Maesaka, K. Shimose, K. Iwanami
- Organizer
  The 2nd Workshop between National Science and Technology Center for Disaster Reduction of Taiwan (NCDR) and National Research Institute for Earth Science and Disaster Resilience of Japan (NIED)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-22K04345
[Presentation] Development of cloud radar assimilation method for local heavy rain prediction2023
- Author(s)
  Kato, R., S. Shimizu, T. Ohigashi, T. Maesaka, K. Shimose, K. Iwanami
- Organizer
  Joint Seminar between NIED and WRC/KMA
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-22K04345
[Presentation] 線状降水帯の2時間先予測に対する水蒸気ライダー同化における背景誤差共分散行列の設定方法の感度実験2023
- Author(s)
  加藤亮平, 清水慎吾, 下瀬健一, 平野洪賓, 白石浩一, 吉田智, 酒井哲, 永井智広
- Organizer
  日本気象学会2023秋季大会
- Data Source
  KAKENHI-PROJECT-22K04345
[Presentation] 局地的大雨予測に対する雲レーダー同化手法の開発2022
- Author(s)
  加藤亮平・清水慎吾・大東忠保・前坂剛・下瀬健一・岩波越
- Organizer
  データ同化夏の学校 2022
- Data Source
  KAKENHI-PROJECT-22K04345
[Presentation] 局地的大雨予測に対する雲レーダー同化手法の高度化に向けて―同化窓の感度実験から得られた知見と課題―2022
- Author(s)
  加藤亮平, 清水慎吾, 大東忠保, 前坂剛, 下瀬健一, 岩波越
- Organizer
  日本気象学会2022年度秋季大会
- Data Source
  KAKENHI-PROJECT-21H01162
[Presentation] 局地的大雨予測に対する雲レーダー同化手法の高度化に向けて ―同化窓の感度実験から得られた知見と課題―2022
- Author(s)
  加藤亮平・清水慎吾・大東忠保・前坂剛・下瀬健一・岩波越
- Organizer
  日本気象学会秋季大会
- Data Source
  KAKENHI-PROJECT-22K04345
[Presentation] 局地的大雨予測に対する雲レーダー同化インパクト: 水蒸気ナッジングデータ同化実験2019
- Author(s)
  加藤亮平・清水慎吾・大東忠保・前坂剛・岩波越
- Organizer
  第6回メソ気象セミナー
- Data Source
  KAKENHI-PROJECT-18K13841
[Presentation] 局地的大雨予測に対する雲レーダー同化インパクト: 水蒸気ナッジングデータ同化実験2019
- Author(s)
  加藤亮平・清水慎吾・大東忠保・前坂剛・岩波越
- Organizer
  日本気象学会秋季大会
- Data Source
  KAKENHI-PROJECT-18K13841
[Presentation] Assimilation impact of cloud radars on quantitative precipitation forecast for localized heavy rainfall: Evidence from water vapor nudging data assimilation experiments2019
- Author(s)
  Kato, R., S. Shimizu, T. Ohigashi, T. Maesaka, K. Iwanami
- Organizer
  39th International Conference on Radar Meteorology
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K13841
[Presentation] Nowcast for Meso-γ-Scale, Localized, Extremely Heavy Rainfall by Blending Extrapolation and Model Forecasts: Event on 24 August 20162018
- Author(s)
  Kato, R., S. Shimizu, K. Shimose, K. Iwanami
- Organizer
  AGU Fall Meeting
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K13841
[Presentation] 集中豪雨のメカニズムとその予測2018
- Author(s)
  加藤亮平
- Organizer
  かわさき市民アカデミー「新しい科学の世界」講座
- Invited
- Data Source
  KAKENHI-PROJECT-17K20140
[Presentation] 雲解像数値モデルを用いた平成29年九州北部豪雨を引き起こした線状降水帯にともなう降水量の予測可能性2018
- Author(s)
  加藤亮平，下瀬健一，清水慎吾
- Organizer
  日本気象学会2018年度春季大会
- Data Source
  KAKENHI-PROJECT-17K20140
[Presentation] 平成29年7月九州北部豪雨の実態と予測可能性2018
- Author(s)
  加藤亮平
- Organizer
  気象キャスターネットーワーク特別講演
- Invited
- Data Source
  KAKENHI-PROJECT-17K20140
[Presentation] 九州北部豪雨の要因分析と予測可能性2018
- Author(s)
  川村隆一, 加藤亮平，竹見哲也，津口裕茂，川野哲也，清水慎吾，下瀬健一，清野直子
- Organizer
  「平成29年7月九州北部豪雨災害に関する総合的研究」報告会
- Data Source
  KAKENHI-PROJECT-17K20140
[Presentation] Nowcast for Meso-γ-Scale, Localized, Extremely Heavy Rainfall by Blending Extrapolation and Model Forecasts2018
- Author(s)
  Kato, R., S. Shimizu, K. Shimose, K. Iwanami
- Organizer
  Joint Seminar between NIED and WRC/KMA
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K13841
[Presentation] 局地的大雨に対するナウキャストと数値予測を併合させたブレンディング予測.―2016年8月24日事例―2018
- Author(s)
  加藤亮平, 清水慎吾, 下瀬健一, 岩波越
- Organizer
  日本気象学会秋季大会
- Data Source
  KAKENHI-PROJECT-18K13841
[Presentation] 平成29年度九州北部豪雨を引き起こした線状降水帯にともなう降水量の予測可能性2017
- Author(s)
  加藤亮平，下瀬健一，清水慎吾
- Organizer
  土砂災害予測に関する研究集会
- Data Source
  KAKENHI-PROJECT-17K20140

1. Akiyama Juichiro (20192916)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
2. ISHIKURA Ryohei (90510222)

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3. INOGUCHI Munenari (90509944)

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4. KASAMA Shionobu (10315111)

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5. KAWANO Tetsuya (30291511)

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6. GONDA Yutaka (10303116)

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7. SHIMIZU Shingo (70462504)

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8. SHIMOSE Kenichi (40729183)

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9. CHIGIRA Masahiro (00293960)

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10. SEINO Naoko (70354503)

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11. NISHII Ryoko (00596116)

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12. HAZARIKA Hemanta (00311043)

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13. HIROOKA Akihiko (70238400)

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14. YOSHIDA Mamoru (60539550)

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15. OHIGASHI Tadayasu (80464155)

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16. 鬼束幸樹 (20293904)

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17. 神谷大介 (30363659)

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18. 川村隆一 (30303209)

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19. 久保田哲也 (40243381)

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20. 佐山敬洋 (70402930)

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21. 重枝未玲 (70380730)

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22. 鈴木素之 (00304494)

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23. 竹見哲也 (10314361)

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24. 竹林洋史 (70325249)

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25. 田村圭子 (20397524)

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26. 津口裕茂 (90553165)

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27. 福岡浩 (40252522)

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28. 松四雄騎 (90596438)

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29. 村上哲 (10261744)

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30. 安田浩保 (00399354)

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31. 安福規之 (20166523)

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32. 矢野真一郎 (80274489)

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33. 山本晴彦 (40263800)

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34. 若月強 (80510784)

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35. 前坂剛 (70450260)

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36. 出世ゆかり (80415851)

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37. 櫻井南海子 (30435846)

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Kato Ryohei 加藤 亮平

Research Projects

Research Products

Co-Researchers

Improvement of cloud radar assimilation methods for predicting local heavy rainfallPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Reconstruction of a conceptual model for the structure and development process of cumulonimbus clouds by high-frequency 3-dimensional cloud, precipitation, and lightning observations

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Development of cloud radar assimilation methods for local heavy rain predictionPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Research and study on the heavy rainfall disaster due to the Kyushu-hokubu torrential rainfall in July 2017

Principal Investigator

Project Period (FY)

Research Category

Research Institution

[Journal Article] Improvement of Two-Hour-Ahead QPF Using Blending Technique with Spatial Maximum Filter for Tolerating Forecast Displacement Errors and Water Vapor Lidar Assimilation2024

Author(s)

Journal Title

DOI

ISSN

Language

Data Source

[Journal Article] Prediction of Meso-γ-Scale Local Heavy Rain by Ground-Based Cloud Radar Assimilation with Water Vapor Nudging2022

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Assimilation impact of high‐temporal‐resolution volume scans on quantitative precipitation forecasts in a severe storm: Evidence from nudging data assimilation experiments with a thermodynamic retrieval method2019

Author(s)

Journal Title

DOI

Data Source

[Presentation] 局地的大雨予測に対する雲レーダー同化手法の高度化 ―積乱雲自動追跡による選択的同化手法の開発―2024

Author(s)

Organizer

Data Source

[Presentation] Development of cloud radar assimilation method for local heavy rain prediction2023

Author(s)

Organizer

Data Source

[Presentation] Development of cloud radar assimilation method for local heavy rain prediction2023

Author(s)

Organizer

Data Source

[Presentation] 線状降水帯の2時間先予測に対する 水蒸気ライダー同化における背景誤差共分散行列の設定方法の感度実験2023

Author(s)

Organizer

Data Source

[Presentation] 局地的大雨予測に対する雲レーダー同化手法の開発2022

Author(s)

Organizer

Data Source

[Presentation] 局地的大雨予測に対する雲レーダー同化手法の高度化に向けて―同化窓の感度実験から得られた知見と課題―2022

Author(s)

Organizer

Data Source

[Presentation] 局地的大雨予測に対する雲レーダー同化手法の高度化に向けて ―同化窓の感度実験から得られた知見と課題―2022

Author(s)

Organizer

Data Source

[Presentation] 局地的大雨予測に対する雲レーダー同化インパクト: 水蒸気ナッジングデータ同化実験2019

Author(s)

Organizer

Data Source

[Presentation] 局地的大雨予測に対する雲レーダー同化インパクト: 水蒸気ナッジングデータ同化実験2019

Author(s)

Organizer

Data Source

Kato Ryohei 加藤亮平

[Presentation] 線状降水帯の2時間先予測に対する水蒸気ライダー同化における背景誤差共分散行列の設定方法の感度実験2023