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  1. 防災科研関係論文

Relationships among Rainfall Distribution, Surface Wind, and Precipitable Water Vapor during Heavy Rainfall in Central Tokyo in Summer

https://nied-repo.bosai.go.jp/records/5521
https://nied-repo.bosai.go.jp/records/5521
5511fd0c-991e-41e6-a4cd-95953369a634
Item type researchmap(1)
公開日 2024-06-03
タイトル
言語 en
タイトル Relationships among Rainfall Distribution, Surface Wind, and Precipitable Water Vapor during Heavy Rainfall in Central Tokyo in Summer
言語
言語 eng
著者 Yoshihito Seto

× Yoshihito Seto

en Yoshihito Seto

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Hitoshi Yokoyama

× Hitoshi Yokoyama

en Hitoshi Yokoyama

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Tsuyoshi Nakatani

× Tsuyoshi Nakatani

en Tsuyoshi Nakatani

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Haruo Ando

× Haruo Ando

en Haruo Ando

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Nobumitsu Tsunematsu

× Nobumitsu Tsunematsu

en Nobumitsu Tsunematsu

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Yoshinori Shoji

× Yoshinori Shoji

en Yoshinori Shoji

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Kenichi Kusunoki

× Kenichi Kusunoki

en Kenichi Kusunoki

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Masaya Nakayama

× Masaya Nakayama

en Masaya Nakayama

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Yuto Saitoh

× Yuto Saitoh

en Yuto Saitoh

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Hideo Takahashi

× Hideo Takahashi

en Hideo Takahashi

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抄録
内容記述タイプ Other
内容記述 The relationships between the occurrence of intense rainfall and the convergence of surface winds and water vapor concentration for typical heavy-rainfall cases were examined using data from July to August in 2011-2013, obtained from high-density meteorological observations in Tokyo, Japan. Additionally, the temporal variations in wind convergence and water vapor between days with and without heavy rainfall events were compared. Corresponding to heavy-rainfall areas, the convergence of surface winds tended to increase for several tens of minutes prior to the heavy rainfall. The peak of convergence was observed 10-30 min before the heavy-rainfall occurrence, and convergence continued to increase for approximately 30 min until the convergence peak time. Around the heavy-rainfall area, the increase in the water vapor concentration index coincided with the increase in convergence. From these results, by monitoring the temporal variations and distributions of these parameters using a high-density observation network, it should be possible to predict the occurrence of heavy rainfall rapidly and accurately.
言語 en
書誌情報 en : JOURNAL OF THE METEOROLOGICAL SOCIETY OF JAPAN

巻 96A, p. 35-49, 発行日 2018
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.2017-020
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