Zobrazeno 1 - 10 of 21 pro vyhledávání: '"Tsutao OIZUMI"'
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Akademický článek
Ensemble rainfall–runoff and inundation simulations using 100 and 1000 member rainfalls by 4D LETKF on the Kumagawa River flooding 2020
Autor: Kenichiro Kobayashi, Le Duc, Takuya Kawabata, Atsushi Tamura, Tsutao Oizumi, Kazuo Saito, Daisuke Nohara, Tetsuya Sumi
Publikováno v: Progress in Earth and Planetary Science, Vol 10, Iss 1, Pp 1-22 (2023)
Abstract This paper presents the 1000 ensemble flood simulations using ensemble rainfalls simulated by 4D LETKF. The number of ensemble rainfall members is large as 1000 compared to the operational rainfall products of two-digit numbers to avoid samp
Externí odkaz: https://doaj.org/article/d6500eef64044c00be6b03d8e9c04e8f
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2
Akademický článek
Near-surface coherent structures explored by large eddy simulation of entire tropical cyclones
Autor: Junshi Ito, Tsutao Oizumi, Hiroshi Niino
Publikováno v: Scientific Reports, Vol 7, Iss 1, Pp 1-10 (2017)
Abstract Taking advantage of the huge computational power of a massive parallel supercomputer (K-supercomputer), this study conducts large eddy simulations of entire tropical cyclones by employing a numerical weather prediction model, and explores ne
Externí odkaz: https://doaj.org/article/be142c528c124aa892c979ce0532da50
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7
Effects of climate change on daily minimum and maximum temperatures and cloudiness in the Shikoku region: a statistical downscaling model approach
Autor: Tsutao Oizumi, Kenichi Tatsumi, Yosuke Yamashiki
Publikováno v: Theoretical and Applied Climatology. 120:87-98
In this study, we present a detailed analysis of the effect of changes in cloudiness (CLD) between a future period (2071–2099) and the base period (1961–1990) on daily minimum temperature (TMIN) and maximum temperature (TMAX) in the same period f
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::7cc66d3ec275606982a3c80a091bd985
https://doi.org/10.1007/s00704-014-1152-9
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8
Assessment of future precipitation indices in the Shikoku region using a statistical downscaling model
Autor: Yosuke Yamashiki, Tsutao Oizumi, Kenichi Tatsumi
Publikováno v: Stochastic Environmental Research and Risk Assessment. 28:1447-1464
In this study, we used the statistical downscaling model (SDSM) to estimate mean and extreme precipitation indices under present and future climate conditions for Shikoku, Japan. Specifically, we considered the following mean and extreme precipitatio
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::857c0491865135dcd13a8285443c5f09
https://doi.org/10.1007/s00477-014-0847-x
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