Journal of Korean Society for Atmospheric Environment (한국대기환경학회지)

Korean Society for Atmospheric Environment (한국대기환경학회)
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An Analysis of Aerosol-Cloud Relationship Using MODIS and NCEP/NCAR Reanalysis Data around Korea

한반도 주변에서 MODIS와 NCEP/NCAR 재분석 자료를 이용한 에어로졸과 구름의 연관성 분석

  • Kim, Yoo-Jun (Department of Atmospheric Environmental Sciences, Gangneung-Wonju National University) ;
  • Lee, Jin-Hwa (Department of Atmospheric Environmental Sciences, Gangneung-Wonju National University) ;
  • Kim, Byung-Gon (Department of Atmospheric Environmental Sciences, Gangneung-Wonju National University)
  • 김유준 (강릉원주대학교 대기환경과학과) ;
  • 이진화 (강릉원주대학교 대기환경과학과) ;
  • 김병곤 (강릉원주대학교 대기환경과학과)
  • Received : 2010.09.15
  • Accepted : 2011.01.03
  • Published : 2011.04.30
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Abstract

MODIS/Terra level 3 and NCEP/NCAR Reanalysis data from 2001 to 2008 have been analyzed to understand long-term aerosol and cloud optical properties, and their relationships around Korea. Interestingly, cloud fraction(CF) has the similar annual variation to aerosol optical depth (${\tau}_a$) without any temporal significant trend. Horizontal distributions of ${\tau}_a$ showed the substantial horizontal gradient from China to Korea, especially with the strong difference over the Yellow Sea, which could represent the evidence of the anthropogenic influence from China in the perspective of long-term average. Specifically the negative correlations between ${\tau}_a$ and liquid-phase cloud effective radius ($r_e$) were shown on the monthly-average basis, only in summer with significant associations over the Yellow Sea, but not in the other seasons and/or specific regions. Relationship between ${\tau}_a$ and CF for the low-level liquid-phase clouds exhibited the overall positive correlation, being consistent with cloud lifetime effect. Meanwhile static stability showed no deterministic relationships with ${\tau}_a$ as well as CF. The dependence of aerosol-cloud relationship on the meteorological conditions should be examined more in detail with the satellite remote sensing and reanalysis data.

Keywords

References

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