Prediction of daily heavy precipitation in a lowland area using GPS and surface weather data

研究成果: ジャーナルへの寄稿記事

抄録

Recent progress in GPS technology has enabled us to estimate the total amount of water vapor in an atmospheric column with infinite height as 'GPS-derived precipitable water vapor' (GPS-PWV). In the present study, we analyzed the GPS and meteorological data obtained in Saga Plain, in northern Kyushu, Japan. An attempt was made to predict heavy precipitation (≥50 mm d-1) on a daily basis using the analyzed relations between surface temperature and GPS-PWV. Several features were revealed that were associated with the daily heavy precipitation at the study area. An index was made to predict heavy precipitation on a daily basis. Applying the index to observations, we obtained acceptable results of the prediction. It is suggested that GPS is useful for predicting heavy precipitation events.

元の言語英語
ページ(範囲)101-106
ページ数6
ジャーナルWater Science and Technology: Water Supply
8
発行部数1
DOI
出版物ステータス出版済み - 5 26 2008

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Steam
Weather
Global positioning system
GPS
weather
Water vapor
prediction
water vapor
precipitable water
Japan
Technology
Temperature
surface temperature
index

All Science Journal Classification (ASJC) codes

  • Water Science and Technology

これを引用

Prediction of daily heavy precipitation in a lowland area using GPS and surface weather data. / Mori, Makito; Hiramatsu, Kazuaki; Masayoshi, Harada.

:: Water Science and Technology: Water Supply, 巻 8, 番号 1, 26.05.2008, p. 101-106.

研究成果: ジャーナルへの寄稿記事

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