A Study of Quantitative Snow Water Equivalent (SWE) Estimation by Comparing the Snow Measurement Data

적설 관측자료 비교를 통한 정량적 SWE 산출에 관한 연구

  • Ro, Yonghun (Applied Meteorology Research Division, National Institute of Meteorological Sciences/KMA) ;
  • Chang, Ki-Ho (Radar Planning Team, Weather Radar Center) ;
  • Cha, Joo-Wan (Applied Meteorology Research Division, National Institute of Meteorological Sciences/KMA) ;
  • Chung, Gunhui (Department of Civil Engineering, Hoseo University) ;
  • Choi, Jiwon (Applied Meteorology Research Division, National Institute of Meteorological Sciences/KMA) ;
  • Ha, Jong-Chul (Applied Meteorology Research Division, National Institute of Meteorological Sciences/KMA)
  • 노용훈 (국립기상과학원 응용기상연구과) ;
  • 장기호 (기상레이더센터 레이더기획팀) ;
  • 차주완 (국립기상과학원 응용기상연구과) ;
  • 정건희 (호서대학교 건축토목환경공학부) ;
  • 최지원 (국립기상과학원 응용기상연구과) ;
  • 하종철 (국립기상과학원 응용기상연구과)
  • Received : 2019.04.12
  • Accepted : 2019.06.29
  • Published : 2019.09.30


While it is important to obtain the accurate information on snowfall data due to the increase in damage caused by the heavy snowfall in the winter season, it is not easy to observe the snowfall quantitatively. Recently, snow measurements using a weighing precipitation gauge have been carried out, but there is a problem that high snowfall intensity results in low accuracy. Also, the observed snowfall data are sensitive depending on wind speed, temperature, and humidity. In this study, a new process of quality control for snow water equivalent (SWE) data of the weighing precipitation gauge were proposed to cover the low accuracy of snow data and maximize the data utilization. Snowfall data (SWE) observed by Pluvio, Parsivel, snow-depth meter using laser or ultrasonic, and rainfall gauge in Cloud Physics Observation Site (CPOS) were compared and analyzed. Applying the QC algorithm including the use of number of hydrometeor particles as reference, the increased SWE per the unit time was determined and the data noise was removed and marked by flag. The SWE data converted by the number concentration of hydrometeor particles are tested as a method to restore the QC-removed data, and show good agreement with those of the weighing precipitation gauge, though requiring more case studies. The three events data for heavy snowfall disaster in Pyeongchang area was analyzed. The SWE data with improved quality was showed a good correlation with the eye-measured data ($R^2$ > 0.73).


Snowfall;weighing precipitation gauge;snow water equivalent;concentration of hydrometeor particles


Grant : 기상항공기 활용기술개발연구

Supported by : 국립기상과학원


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