Examination of an Index for Predicting Heavy Precipitation using GPS-derived Precipitable Water Vapor

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Other Title
  • GPS可降水量を用いた大雨予測指標の検討

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Description

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.

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Details 詳細情報について

  • CRID
    1390001205285453312
  • NII Article ID
    130004119066
  • DOI
    10.11408/jsidre2007.2007.363
  • ISSN
    18847242
    18822789
  • Data Source
    • JaLC
    • CiNii Articles
  • Abstract License Flag
    Disallowed

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