Korean Journal of Remote Sensing (대한원격탐사학회지)

Korean Society of Remote Sensing (대한원격탐사학회)
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Long-term variability of Total PrecipitableWater using a MODIS over Korea

MODIS 자료를 이용한 한반도에서의 가강수량 장기변화 분석

  • Kwon, Chaeyoung (Department of Spatial Information Engineering, Pukyong National University) ;
  • Lee, Darae (Department of Spatial Information Engineering, Pukyong National University) ;
  • Lee, Kyeong-Sang (Department of Spatial Information Engineering, Pukyong National University) ;
  • Seo, Minji (Department of Spatial Information Engineering, Pukyong National University) ;
  • Seong, Noh-Hun (Department of Spatial Information Engineering, Pukyong National University) ;
  • Choi, Sungwon (Department of Spatial Information Engineering, Pukyong National University) ;
  • Jin, Donghyun (Department of Spatial Information Engineering, Pukyong National University) ;
  • Kim, Honghee (Department of Spatial Information Engineering, Pukyong National University) ;
  • Han, Kyung-Soo (Department of Spatial Information Engineering, Pukyong National University)
  • 권채영 (부경대학교 공간정보시스템공학과) ;
  • 이다래 (부경대학교 공간정보시스템공학과) ;
  • 이경상 (부경대학교 공간정보시스템공학과) ;
  • 서민지 (부경대학교 공간정보시스템공학과) ;
  • 성노훈 (부경대학교 공간정보시스템공학과) ;
  • 최성원 (부경대학교 공간정보시스템공학과) ;
  • 진동현 (부경대학교 공간정보시스템공학과) ;
  • 김홍희 (부경대학교 공간정보시스템공학과) ;
  • 한경수 (부경대학교 공간정보시스템공학과)
  • Received : 2016.03.29
  • Accepted : 2016.04.04
  • Published : 2016.04.30
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Abstract

Water vapor leading various scale of atmospheric circulation and accounting for about 60% of the naturally occurring warming effect is important climate variables. Using the Total Precipitable Water (TPW) from Moderate Resolution Imaging Spectroradiometer (MODIS) operating on both Terra and Aqua, we study long-term Variation of TPW and define relationship among TPW and climatic parameters such as temperature and precipitation to quantitatively demonstrate the impact on climate change over East Asia focusing on the Korea peninsula. In this study, we used linear regression analysis to detect the correlation of TPW and temperature/precipitation and harmonic analysis to analyze changeable aspects of periodic characteristics. A result of analysis using linear regression analysis between TPW and climate elements, TPW shows a high determination coefficient ($R^2$) with temperature and precipitation (determination coefficient between TPW and temperature: 0.94, determination coefficient between TPW anomaly and temperature anomaly: 0.8, determination coefficient between TPW and precipitation: 0.73, determination coefficient between TPW anomaly and precipitation anomaly: 0.69). A result of harmonic analysis of TPW and precipitation of two-year to five-year cycle, amplitude contribution ratio of 3.5-year cycle are much higher and two phases are similar in 3.5-year cycle.

수증기는 다양한 규모의 대기 순환을 유도하고 온실효과의 약 60%를 설명하는 중요한 기후 변수이다 (Karl and Trenberth, 2003). 본 연구의 목적은 Terra/Aqua 위성의 Moderate Resolution Imaging Spectroradiometer (MODIS) 센서를 통해 생산된 총 가강수량 (Total Precipitable Water, TPW) 자료의 장기적인 변화를 분석하고 강수 및 기온 실측자료와의 비교를 통해 TPW의 변화가 한반도를 포함한 동아시아 지역의 기후에 미치는 영향을 정량적으로 파악하고자 하는 것이다. 따라서 본 연구에서는 TPW와 강수 및 기온과의 상관을 알아보기 위하여 선형회귀분석을 실시하였고 TPW와 강수 및 기온의 주기 변화 양상을 분석하기 위하여 조화분석을 실시하였다. 선형회귀분석 결과 TPW와 강수 및 기온과의 상관성이 높게 나타났다(TPW-기온의 결정계수 (determination coefficient, $R^2$): 0.94, TPW아노말리-기온 아노말리의 결정계수: 0.8, TPW-강수량의 결정계수: 0.73, TPW아노말리-강수량 아노말리의 결정계수: 0.69). 조화분석 결과 2년에서 5년 사이의 다년주기 성분 중에서 TPW와 강수량 모두 3.5년 주기성분에서 진폭의 기여도가 높게 나타났으며 TPW와 강수량의 3.5년 주기 성분의 위상이 유사한 시기에 나타났다.

Keywords

References

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