대기 (Atmosphere)

  • 제28권2호
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  • Pages.175-185
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  • 2018
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  • 1598-3560(pISSN)
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  • 2288-3266(eISSN)
한국기상학회 (Korean Meteorological Society)
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연무 종류별 강수 발생시간 관측 특성 및 에어로졸-강수 연관성 분석

Observed Characteristics of Precipitation Timing during the Severe Hazes: Implication to Aerosol-Precipitation Interactions

  • 은승희 (강릉원주대학교 대기환경과학과) ;
  • 장문정 (강릉원주대학교 대기환경과학과) ;
  • 박성민 (강릉원주대학교 대기환경과학과) ;
  • 김병곤 (강릉원주대학교 대기환경과학과) ;
  • 박진수 (국립환경과학원 기후대기연구부) ;
  • 김정수 (국립환경과학원 기후대기연구부) ;
  • 박일수 (한국외국어대학교 한.중남미 녹색융합센터)
  • Eun, Seung-Hee (Department of Atmospheric Environmental Sciences, Gangneung-Wonju National University) ;
  • Zhang, Wenting (Department of Atmospheric Environmental Sciences, Gangneung-Wonju National University) ;
  • Park, Sung-Min (Department of Atmospheric Environmental Sciences, Gangneung-Wonju National University) ;
  • Kim, Byung-Gon (Department of Atmospheric Environmental Sciences, Gangneung-Wonju National University) ;
  • Park, Jin-Soo (Climate and Air Quality Research Department, National Institute of Environmental Research) ;
  • Kim, Jeong-Soo (Climate and Air Quality Research Department, National Institute of Environmental Research) ;
  • Park, Il-Soo (Korea-Latin America Green Convergence Center, Hankook University of Foreign Studies)
  • 투고 : 2018.03.17
  • 심사 : 2018.05.31
  • 발행 : 2018.06.30
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초록

Characteristics of precipitation response to enhanced aerosols have been investigated during the severe haze events observed in Korea for 2011 to 2016. All 6-years haze events are classified into long-range transported haze (LH: 31%), urban haze (UH: 28%), and yellow sand (YS: 18%) in order. Long-range transported one is mainly discussed in this study. Interestingly, both LH (68%) and YS (87%) appear to be more frequently accompanied with precipitation than UH (48%). We also found out the different timing of precipitation for LH and YS, respectively. The variations of precipitation frequency for the LH event tend to coincide with aerosol variations specifically in terms of temporal covariation, which is in contrast with YS. Increased aerosol loadings following precipitation for the YS event seems to be primarily controlled by large scale synoptic forcing. Meanwhile, aerosols for the LH event may be closely associated with precipitation longevity through changes in cloud microphysics such that enhanced aerosols can increase smaller cloud droplets and further extend light precipitation at weaker rate. Notably, precipitation persisted longer than operational weather forecast not considering detailed aerosol-cloud interactions, but the timescale was limited within a day. This result demonstrates active interactions between aerosols and meteorology such as probable modifications of cloud microphysics and precipitation, synoptic-induced dust transport, and precipitation-scavenging in Korea. Understanding of aerosol potential effect on precipitation will contribute to improving the performance of numerical weather model especially in terms of precipitation timing and location.

키워드

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