TEMPORAL CHANGE PREDICTABILITY OF EXTREME BASIN RAINFALL USING THE 150-YEAR SEAMLESS EXPERIMENT WITH NON-STATIONARY FREQUENCY ANALYSIS-Reference-Cited by-同舟云学术

TEMPORAL CHANGE PREDICTABILITY OF EXTREME BASIN RAINFALL USING THE 150-YEAR SEAMLESS EXPERIMENT WITH NON-STATIONARY FREQUENCY ANALYSIS

Published:2023 Issue:2 Volume:79 Page:n/a
ISSN:2436-6021
Container-title:Japanese Journal of JSCE
language:en
Short-container-title:Japanese Journal of JSCE

Author:

TANAKA Tomohiro¹,KAWAI Yuki²,TACHIKAWA Yasuto¹

Affiliation:

1. 京都大学大学院工学研究科

2. 三菱UFJリサーチ&コンサルティング株式会社コンサルティング事業本部

Publisher

Japan Society of Civil Engineers

Link

https://www.jstage.jst.go.jp/article/jscejj/79/2/79_22-00096/_pdf

Reference13 articles.

1. 1) Mizuta, R., Naosaka, M., Nakaegawa, T., Endo, H., Kusunoki, S., Murata, A. and Takayabu, I. : 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, Vol. 100, 2022.

2. 2) 田中賢治 : 超高解像度気候モデルと将来土地利用変化を用いた日本の水資源量の長期変化予測, 土木学会論文集 B1（水工学）, Vol. 77, No. 2, pp. I_211-I_216, 2021. [Tanaka, K.: Long term projection of water resources over Japan with super-high resolution climate model and landuse scenario, Journal of Japan Society of Civil Engineering B1 (Hydraulic Engineering), Vol. 77, No. 2, pp. I_211-I_216, 2021.]

3. 3) 中北英一, 原田茉知, 小坂田ゆかり : 地球温暖化に伴う梅雨期の降雨および大気場のタイムシームレスな将来変化解析, 土木学会論文集 B1（水工学）, Vol. 77, No. 2, pp. I_273-I_278, 2021. [Nakakita, E., Harada, M. and Osakada, Y.: Time-seamless future change analysis on baiu rainfall and atmospheric conditions due to global warming, Journal of Japan Society of Civil Engineering B1 (Hydraulic Engineering), Vol. 77, No. 2, pp. I_273-I_278, 2021.]

4. 5) 林敬大, 立川康人, 椎葉充晴 : 時変母数による非定常水文頻度解析手法のモデル選択に関する考察, 土木学会論文集B1 (水工学), Vol. 71, No. 1, pp. 28-42, 2015. [Hayashi, H., Tachikawa, Y. and Shiiba, M.: Non-stationary hydrologic frequency analysis using time dependent parameters and its model selection, Journal of Japan Society of Civil Engineering B1 (Hydraulic Engineering), Vol. 71, No. 1, pp. 28-42, 2015.]

5. 6) Um, M. J., Kim, Y., Markus, M. and Wuebbles, D. J. : Modeling nonstationary extreme value distributions with nonlinear functions: An application using multiple precipitation projections for U.S. cities, Journal of Hydrology, Vol. 552, pp. 396-406, 2017.