• Title/Summary/Keyword: Yeongdong heavy snow

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Remote Sensing of GPS Precipitable Water Vapor during 2014 Heavy Snowfall in Gangwon Province (2014년 강원 폭설동안 GPS 가강수량 탐측)

  • JinYong, Nam;DongSeob, Song
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.33 no.4
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    • pp.305-316
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    • 2015
  • The GPS signal delays in troposphere, which are along the signal path between a transmitting satellite and GPS permanent station, can be used to retrieve the precipitable water vapor. The GPS remote sensing technique of atmospheric water vapor is capable of monitoring typhoon and detecting long term water vapor for tracking of earth’s climate change. In this study, we analyzed GPS precipitable water vapor variations during the heavy snowstorm event occurred in the Yeongdong area, 2014. The results show that the snowfall event were occurring after the GPS precipitable water vapor were increased, the maximum fresh snow depth was recorded after the maximum GPS precipitable water vapor was generated, in Kangneug and Wuljin, respectively. Also, we analyzed that the closely correlation among the GPS precipitable water vapor, the K-index and total index which was acquired by the upper air observation system during this snowstorm event was revealed.

Development of Yeongdong Heavy Snowfall Forecast Supporting System (영동대설 예보지원시스템 개발)

  • Kwon, Tae-Yong;Ham, Dong-Ju;Lee, Jeong-Soon;Kim, Sam-Hoi;Cho, Kuh-Hee;Kim, Ji-Eon;Jee, Joon-Bum;Kim, Deok-Rae;Choi, Man-Kyu;Kim, Nam-Won;Nam Gung, Ji Yoen
    • Atmosphere
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    • v.16 no.3
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    • pp.247-257
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    • 2006
  • The Yeong-dong heavy snowfall forecast supporting system has been developed during the last several years. In order to construct the conceptual model, we have examined the characteristics of heavy snowfalls in the Yeong-dong region classified into three precipitation patterns. This system is divided into two parts: forecast and observation. The main purpose of the forecast part is to produce value-added data and to display the geography based features reprocessing the numerical model results associated with a heavy snowfall. The forecast part consists of four submenus: synoptic fields, regional fields, precipitation and snowfall, and verification. Each offers guidance tips and data related with the prediction of heavy snowfalls, which helps weather forecasters understand better their meteorological conditions. The observation portion shows data of wind profiler and snow monitoring for application to nowcasting. The heavy snowfall forecast supporting system was applied and tested to the heavy snowfall event on 28 February 2006. In the beginning stage, this event showed the characteristics of warm precipitation pattern in the wind and surface pressure fields. However, we expected later on the weak warm precipitation pattern because the center of low pressure passing through the Straits of Korea was becoming weak. It was appeared that Gangwon Short Range Prediction System simulated a small amount of precipitation in the Yeong-dong region and this result generally agrees with the observations.