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  1. 防災科研関係論文

Improved Performance of Simulated Japanese Climate with a Multi-Model Ensemble

https://nied-repo.bosai.go.jp/records/5509
https://nied-repo.bosai.go.jp/records/5509
04a41275-ee06-4db0-885a-674057ede8f0
Item type researchmap(1)
公開日 2023-03-30
タイトル
言語 en
タイトル Improved Performance of Simulated Japanese Climate with a Multi-Model Ensemble
言語
言語 eng
著者 Noriko N. Ishizaki

× Noriko N. Ishizaki

en Noriko N. Ishizaki

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Izuru Takayabu

× Izuru Takayabu

en Izuru Takayabu

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Mitsuo Oh'izumi

× Mitsuo Oh'izumi

en Mitsuo Oh'izumi

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Hidetaka Sasaki

× Hidetaka Sasaki

en Hidetaka Sasaki

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Koji Dairaku

× Koji Dairaku

en Koji Dairaku

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Satoshi Iizuka

× Satoshi Iizuka

en Satoshi Iizuka

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Fujio Kimura

× Fujio Kimura

en Fujio Kimura

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Hiroyuki Kusaka

× Hiroyuki Kusaka

en Hiroyuki Kusaka

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Sachiho A. Adachi

× Sachiho A. Adachi

en Sachiho A. Adachi

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Kazuo Kurihara

× Kazuo Kurihara

en Kazuo Kurihara

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Kazuyo Murazaki

× Kazuyo Murazaki

en Kazuyo Murazaki

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Kenji Tanaka

× Kenji Tanaka

en Kenji Tanaka

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抄録
内容記述タイプ Other
内容記述 This paper analyzed the downscaling products for Japanese climate using five regional climate models (RCMs) with horizontal meshsize of 20 km with boundary conditions given from JRA-25 reanalysis. The RCMs successfully reproduced the temporal variations and geographic distribution of temperature and precipitation. Skill scores for the surface temperature were improved by the downscaling. The JRA-25 underestimated the precipitation amount for summer and winter seasons, and the RCMs reduced the error, especially in winter. The RCMs showed common features, such as a warm bias in the areas with a monthly-mean temperature lower than the freezing point, an overestimation of weak rainy days, and an underestimation of heavy rainy days. The comparison among five RCMs suggests that the warm bias is due to the lack of model resolution and the precipitation bias is related to the convective parameterization. The multi-RCM ensemble mean has considerable advantages over the individual RCM in regards to the bias and skill scores of surface temperature and precipitation, although it still showed the warm bias in snow areas in winter. The data set of the multi-model dynamical downscaling is expected to contribute to impact studies on the forthcoming climate change in Japan.
言語 en
書誌情報 en : JOURNAL OF THE METEOROLOGICAL SOCIETY OF JAPAN

巻 90, 号 2, p. 235-254, 発行日 2012-04
出版者
言語 en
出版者 METEOROLOGICAL SOC JAPAN
ISSN
収録物識別子タイプ EISSN
収録物識別子 2186-9057
DOI
関連識別子 10.2151/jmsj.2012-206
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