| 事項 |
詳細 |
| 所属・職名 |
気候・環境研究部・部長 |
| 連絡先 |
 |
| 個人ページ |
仲江川 敏之 in researchmap |
| 専門分野 |
水文気候、季節予測、温暖化予測、水文学、水資源、パナマ、マレーシア、コスタリカ、タイ |
| 学位 |
博士（工学） |
| 受賞歴、委員等 |
受賞
国内委員
- 東京大学生産技術研究所：リサーチフェロー
- 環境省 「気候変動による災害激甚化に関する影響評価検討委員会」 座長
- 国土交通省水管理・国土保全局：「気候変動による水資源への影響検討会」委員
- 日本学術会議：26期環境学委員会・地球惑星科学委員会合同 FE・WCRP合同分科会GEWEX小委員会 委員
- 環境省 「気候変動の影響に関する分野別ワーキンググループ」水環境・水資源分野 委員
- 土木学会 水工学委員会水理・水文統計解析研究小委員会 委員
- 日本水文・水資源学会 国際誌編集委員会 委員
国外委員
博士論文審査委員および博士課程学生の共同指導
- GRACE衛星データに基づく陸域貯水量の推定
- 全球から大陸スケールにおける地下水流動の数値モデリングおよびシミュレーション
修士論文審査委員および修士課程学生の共同指導
- 力学的ダウンスケーリング・シミュレーションによる将来気候予測
- 都市流域における分布型水文モデル
- 車載型マイクロ波散乱計を用いた土壌水分観測
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| 発表論文 (抜粋) |
- Safari, M. A. M., Nakaegawa, T., & Masseran, N. (2026). Robust fitting of the generalized Pareto distribution for extreme precipitation modeling: a case study in Japan. Stochastic Environmental Research and Risk Assessment, 40(6), 132,
https://doi.org/10.1007/s00477-026-03248-5
- Nakaegawa, T., and Kobashi, T. (2025). Indonesia climate change: Observations and future projections in IPCC AR6 WG I and beyond. Forum Geografi, Vol. 39, No. 3, pp. 438-452,
https://doi.org/10.23917/forgeo.12760
- Trang, N. T. Q., Okada, K., Sugiyama, Y., Yoshida, T., Hirano, Y., Jittrapirom, P., Nakaegawa, T., Kobashi, T. (2025). On the decarbonization potentials of rooftop PVs integrated with EVs as battery for all the municipalities of Japan. Applied Energy, 393, 126067, https://doi.org/10.1016/j.apenergy.2025.126067
- Hidalgo, H. G., Nakaegawa, T., Romero, D., Alfaro, E. J., Maldonado, T., Imada, Y., & Yoshida, K. (2025). How rare was the 2016–2022 tropical cyclone activity near the Caribbean coasts of Nicaragua and Costa Rica? Natural Hazards, 1-25. 126067, https://doi.org/10.1007/s11069-025-07427-5
- 仲江川敏之 (2025).「気候予測データセット2022」の概要Journal of Japan Solar Energy Society, 51(1), 25-32.
- Miura, Y., & Nakaegawa, T. (2024). Long‐Term Experimental Evaluation of a High‐Resolution Atmospheric General Circulation Model From a Hydrological Perspective. Journal of Geophysical Research: Atmospheres, 129(3), e2023JD038786., https://doi.org/10.1029/2023JD038786
- Kosaka, Y., Kobayashi, S., Harada, Y., Kobayashi, C., Naoe, H., Yoshimoto, K., ... T. Nakaegawa, & Onogi, K. (2024). The JRA-3Q reanalysis. Journal of the Meteorological Society of Japan. Ser. II, 102(1), 49-109., https://doi.org/10.2151/jmsj.2024-004
- Nakaegawa, T., & Mizuta, R. (2023). Future projections of extreme precipitation in Tropical America and Panama under global warming based on 150‐year continuous simulations using 20‐km and 60‐km atmospheric general circulation models. International Journal of Climatology, 43(15), 7218-7233. studies.DOI: https://doi.org/10.1002/joc.8261
- Ishizaki, N. N., Nakaegawa, T., Pinzón, R., & Sasaki, H. (2023). Factors contributing to morning rain in the upper Río Chagres Basin, Panamá. Frontiers in Earth Science, 43(15), 11, 1105013. DOI: https://doi.org/10.3389/feart.2023.1105013
- Kawase, H., Nosaka, M., Watanabe, S. I., Yamamoto, K., Shimura, T., Naka, Y., ... & Takayabu, I. (2023). Identifying Robust Changes of Extreme Precipitation in Japan From Large Ensemble 5‐km‐Grid Regional Experiments for 4K Warming Scenario. Journal of Geophysical Research: Atmospheres, 128(18), e2023JD038513. DOI:https://doi.org/10.1029/2023JD038513
- Nakaegawa, T., & Murazaki, K. (2022). Historical trends in climate indices relevant to surface air temperature and precipitation in Japan for recent 120 years. International Journal of Climatology , 42(16), 8950-8970. DOI: https://doi.org/10.1002/joc.7784
- Nakaegawa, T. (2022). High-Performance Computing in Meteorology under a Context of an Era of Graphical Processing Units. Computers , 11(7), 114. DOI https://doi.org/10.3390/computers11070114
- Mizuta, R., Nosaka, M., Nakaegawa, T., Endo, H., Kusunoki, S., Murata, A., & Takayabu, I. (2022). Extreme precipitation in 150-year continuous simulations by 20-km and 60-km atmospheric general circulation models with dynamical downscaling over Japan by a 20-km regional climate model. Journal of the Meteorological Society of Japan. Ser. II, 100(3), 523-532. DOI: https://www.jstage.jst.go.jp/article/jmsj/100/3/100_2022-026/_article/-char/ja/
- Iizumi, T., Takaya, Y., Kim, W., Nakaegawa, T., & Maeda, S. (2021). Global within-season yield anomaly prediction for major crops derived using seasonal forecasts of large-scale climate indices and regional temperature and precipitation. Weather and Forecasting, 36(1), 285-299. doi: https://doi.org/10.1175/WAF-D-20-0097.1
- Nakaegawa, T., Kobashi, T., & Kamahori, H. (2020). Characteristics of extreme value statistics of annual maximum monthly precipitation in east asia calculated using an earth system model of intermediate complexity. Atmosphere, 11(12), 1273. doi: https://doi.org/10.3390/atmos11121273
- Nakaegawa T, K. Hibino, I. Takayabu (2019) Future climates in major seven cities in russia under a global warming by a climate ana-logue approach, Journal of Japan Society of Civil Engineering, Ser. B1 (Hydraulic Engineering), 75, No.2, I_1045-I_1050.
- Nakaegawa, T., K. Hibino, and I. Takayabu, 2017: Identifying climate analogues for cities in Australia by a non-parametric approach using multi-ensemble, high-horizontal-resolution future climate projections by an atmospheric general circulation model, MRI-AGCM3.2H, Hydrological Research Letters, 11, 72-78. /doi: 10.3178/hrl.11.72.
すべての論文等をご覧になりたい場合は上記記載の個人ページをご覧ください。
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