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Korean Meteorological Society (한국기상학회)
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A Method for the Discrimination of Precipitation Type Using Thickness and Improved Matsuo's Scheme over South Korea

층후와 개선된 Matsuo 기준을 이용한 한반도 강수형태 판별법

  • Lee, Sang-Min (Forecast Research Laboratory, National Institute of Meteorological Research, KMA) ;
  • Han, Sang-Un (Forecast Technology Division, Forecast Bureau, KMA) ;
  • Won, Hye Young (Forecast Research Laboratory, National Institute of Meteorological Research, KMA) ;
  • Ha, Jong-Chul (Forecast Research Laboratory, National Institute of Meteorological Research, KMA) ;
  • Lee, Yong Hee (Forecast Research Laboratory, National Institute of Meteorological Research, KMA) ;
  • Lee, Jung-Hwan (Forecast Technology Division, Forecast Bureau, KMA) ;
  • Park, Jong-Chun (S&S Business Department, EnValueBiz)
  • 이상민 (기상청 국립기상연구소 예보연구과) ;
  • 한상은 (기상청 예보국 예보기술분석과) ;
  • 원혜영 (기상청 국립기상연구소 예보연구과) ;
  • 하종철 (기상청 국립기상연구소 예보연구과) ;
  • 이용희 (기상청 국립기상연구소 예보연구과) ;
  • 이정환 (기상청 예보국 예보기술분석과) ;
  • 박종천 ((주) 인밸류비즈 S&S 사업본부)
  • Received : 2013.12.12
  • Accepted : 2014.02.06
  • Published : 2014.06.30
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Abstract

This study investigated a method for the discrimination of precipitation type using thickness of geopotential height at 1000~850 hPa and improved Matsuo's scheme over South Korea using 7 upper-level observations data during winter time from 2003 to 2008. With this research, it was suggested that thickness between snow and rain should range from 1281 to 1297 gpm at 1000~850 hPa. This threshold was suitable for determining precipitation type such as snow, sleet and rain and it was verified by investigation at 7 upper-level observation and 10 surface observation data for 3 years (2009~2011). In addition, precipitation types were separated properly by Matsuo's scheme and its improved one, which is a fuction of surface air temperature and relative humidity, when they lie in mixed sectors. Precipitation types in the mixed sector were subdivided into 5 sectors (rain, rain and snow, snow and rain, snow, and snow cover). We also present the decision table for monitoring and predicting precipitation types using model output of Korea Local Analysis and Prediction System (KLAPS) and observation data.

Keywords

References

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  1. Case Studies on Freezing Rain over the Korean Peninsula Using KLAPS vol.25, pp.3, 2015, https://doi.org/10.14191/Atmos.2015.25.3.389