GPS可降水量を用いた大雨予測指標の検討
書誌事項
- タイトル別名
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- Examination of an Index for Predicting Heavy Precipitation using GPS-derived Precipitable Water Vapor
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説明
Recent studies have estimated the total amount of water vapor in an air column using GPS-derived precipitable water vapor (GPS-PWV). We used GPS and meteorological data obtained at a plain, in northern Kyushu, Japan, to investigate relations between GPS-PWV and precipitation on days with daily precipitation of 50 mm or more. The following characteristics were associated with days of heavy precipitation:(1) the rate of increase in GPSPWV (Rinc= (PWV0-PWV*)/PWV0, where PWV0 is the value of GPS-PWV at 00 JST, and PWV* is the value 24 hr before) ranged from -0.25 to 0.75;(2) PWV0 was larger than PWVsat, which was derived as a function of T0 (air temperature at 00 JST); and (3) PWV0≥PWVref and T0≥Tref were simultaneously satisfied where PWVref and Tref were climatological threshold values. We constracted a heavy precipitation index, IHP based on the above characteristics. The acceptable prediction results provided by IHP suggests its usefulness for analyzing and forecasting heavy precipitation events.
収録刊行物
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- 農業農村工学会論文集
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農業農村工学会論文集 2007 (250), 363-371,a1, 2007
公益社団法人 農業農村工学会
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詳細情報 詳細情報について
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- CRID
- 1390001205285453312
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- NII論文ID
- 130004119066
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- ISSN
- 18847242
- 18822789
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- データソース種別
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- JaLC
- CiNii Articles
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- 抄録ライセンスフラグ
- 使用不可