Spatiotemporal Pattern Networks of Heavy Rain among Automatic Weather Stations and Very-Short-Term Heavy-Rain Prediction

Spatiotemporal pattern networks of heavy rain among automatic weather stations, which reflect the mobility of heavy rain, were constructed and analyzed based on the hourly precipitation data over the last ten years (from 2003 to 2012) in South Korea. Moreover, a new algorithm applying the constructe...

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Bibliographic Details
Published inAdvances in Meteorology Vol. 2016; no. 2016; pp. 1 - 13
Main Authors Kim, Yong-Hyuk, Yoon, Yourim
Format Journal Article
LanguageEnglish
Published Cairo, Egypt Hindawi Limiteds 01.01.2016
Hindawi Publishing Corporation
Hindawi Limited
Wiley
Subjects
Algorithms
Computer engineering
Meteorology
Precipitation
Rain
Rain and rainfall
Short term
Studies
Summer
Weather forecasting
Wind
Winter
South Korea
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Summary:Spatiotemporal pattern networks of heavy rain among automatic weather stations, which reflect the mobility of heavy rain, were constructed and analyzed based on the hourly precipitation data over the last ten years (from 2003 to 2012) in South Korea. Moreover, a new algorithm applying the constructed heavy-rain pattern networks to very-short-term heavy-rain prediction was developed, and significant prediction results could be obtained.
ISSN:1687-9309
1687-9317
DOI:10.1155/2016/4063632