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Korean Meteorological Society (한국기상학회)
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Effects of Parameters Defining the Characteristics of Raindrops in the Cloud Microphysics Parameterization on the Simulated Summer Precipitation over the Korean Peninsula

구름미세물리 모수화 방안 내 빗방울의 특성을 정의하는 매개변수가 한반도 여름철 강수 모의에 미치는 영향

  • Ki-Byung Kim (BK21 Weather Extremes Education & Research Team, Department of Atmospheric Sciences, Kyungpook National University) ;
  • Kwonil Kim (School of Marine and Atmospheric Sciences, Stony Brook University) ;
  • GyuWon Lee (BK21 Weather Extremes Education & Research Team, Department of Atmospheric Sciences, Kyungpook National University) ;
  • Kyo-Sun Sunny Lim (BK21 Weather Extremes Education & Research Team, Department of Atmospheric Sciences, Kyungpook National University)
  • 김기병 (경북대학교 대기과학과 BK21 위험기상 교육연구팀) ;
  • 김권일 (스토니브룩대학교 해양대기과학부) ;
  • 이규원 (경북대학교 대기과학과 BK21 위험기상 교육연구팀) ;
  • 임교선 (경북대학교 대기과학과 BK21 위험기상 교육연구팀)
  • Received : 2024.06.25
  • Accepted : 2024.08.06
  • Published : 2024.08.31
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Abstract

The study examines the effects of parameters that define the characteristics of raindrops on the simulated precipitation during the summer season over Korea using the Weather Research and Forecasting (WRF) Double-Moment 6-class (WDM6) cloud microphysics scheme. Prescribed parameters, defining the characteristics of hydrometeors in the WDM6 scheme such as aR, bR, and fR in the fall velocity (VR) - diameter (DR) relationship and shape parameter (𝜇R) in the number concentration (NR) - DR relationship, presents different values compared to the observed data from Two-Dimensional Video Disdrometer (2DVD) at Boseong standard meteorological observatory during 2018~2019. Three experiments were designed for the heavy rainfall event on August 8, 2022 using WRF version 4.3. These include the control (CNTL) experiment with original parameters in the WDM6 scheme; the MUR experiment, adopting the 50th percentile observation value for 𝜇R; and the MEDI experiment, which uses the same 𝜇R as MUR, but also includes fitted values for aR, bR, and fR from the 50th percentile of the observed VR - DR relationship. Both sensitivity experiments show improved precipitation simulation compared to the CNTL by reducing the bias and increasing the probability of detection and equitable threat scores. In these experiments, the raindrop mixing ratio increases and its number concentration decreases in the lower atmosphere. The microphysics budget analysis shows that the increase in the rain mixing ratio is due to enhanced source processes such as graupel melting, vapor condensation, and accretion between cloud water and rain. Our study also emphasizes that applying the solely observed 𝜇R produces more positive impact in the precipitation simulation.

Keywords

Acknowledgement

본 연구는 2023년도 정부(교육부)의 재원으로 한국연구재단의 지원을 받아 수행된 기초연구사업(RS-2023-00272424)과 기상청 국립기상과학원 수도권 위험기상 입체관측 및 예보활용 기술 개발(KMA2018-00125)의 지원으로 수행되었습니다. 논문 작성 과정에 도움을 주신 UTHSC 최효영 교수님께 감사드립니다.

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