Development of Yeongdong Heavy Snowfall Forecast Supporting System

영동대설 예보지원시스템 개발

  • Kwon, Tae-Yong (Department of Atmospheric and Environmental Sciences, Kangnung National University) ;
  • Ham, Dong-Ju (Forecast Division, Gangwon Regional Meteorological Office) ;
  • Lee, Jeong-Soon (Department of Atmospheric and Environmental Sciences, Kangnung National University) ;
  • Kim, Sam-Hoi (Unit Information) ;
  • Cho, Kuh-Hee (Climate and Information Division, Gangwon Regional Meteorological Office) ;
  • Kim, Ji-Eon (Climate and Information Division, Gangwon Regional Meteorological Office) ;
  • Jee, Joon-Bum (Department of Atmospheric and Environmental Sciences, Kangnung National University) ;
  • Kim, Deok-Rae (National Institute of Environmental Research, Global Environment Research Center) ;
  • Choi, Man-Kyu (Forecast Division, Gangwon Regional Meteorological Office) ;
  • Kim, Nam-Won (Forecast Division, Gangwon Regional Meteorological Office) ;
  • Nam Gung, Ji Yoen (Forecast Division, Gangwon Regional Meteorological Office)
  • 권태영 (강릉대학교 대기환경과학과) ;
  • 함동주 (강원지방기상청 예보과) ;
  • 이정순 (강릉대학교 대기환경과학과) ;
  • 김삼회 (유니트 정보) ;
  • 조구희 (강원지방기상청 기후정보과) ;
  • 김지언 (강원지방기상청 기후정보과) ;
  • 지준범 (강릉대학교 대기환경과학과) ;
  • 김덕래 (국립환경과학원 지구환경연구소) ;
  • 최만규 (강원지방기상청 예보과) ;
  • 김남원 (강원지방기상청 예보과) ;
  • 남궁지연 (강원지방기상청 예보과)
  • Received : 2006.08.12
  • Accepted : 2006.09.28
  • Published : 2006.09.30

Abstract

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.

Keywords