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

Research output: Contribution to journalArticlepeer-review

Abstract

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.

Original languageEnglish
Pages (from-to)101-106
Number of pages6
JournalWater Science and Technology: Water Supply
Volume8
Issue number1
DOIs
Publication statusPublished - May 26 2008

All Science Journal Classification (ASJC) codes

  • Water Science and Technology

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