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Relationship between temporal variability of TPW and climate variables

가강수량의 변화패턴과 기후인자와의 상관성 분석

  • Lee, Darae (Department of Spatial Information Engineering, Pukyong National University) ;
  • Han, Kyung-Soo (Department of Spatial Information Engineering, Pukyong National University) ;
  • Kwon, Chaeyoung (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) ;
  • Choi, Sungwon (Department of Spatial Information Engineering, Pukyong National University) ;
  • Seong, Noh-hun (Department of Spatial Information Engineering, Pukyong National University) ;
  • Lee, Chang-suk (Department of Spatial Information Engineering, Pukyong National University)
  • 이다래 (부경대학교 공간정보시스템공학과) ;
  • 한경수 (부경대학교 공간정보시스템공학과) ;
  • 권채영 (부경대학교 공간정보시스템공학과) ;
  • 이경상 (부경대학교 공간정보시스템공학과) ;
  • 서민지 (부경대학교 공간정보시스템공학과) ;
  • 최성원 (부경대학교 공간정보시스템공학과) ;
  • 성노훈 (부경대학교 공간정보시스템공학과) ;
  • 이창석 (부경대학교 공간정보시스템공학과)
  • Received : 2016.05.19
  • Accepted : 2016.06.11
  • Published : 2016.06.30

Abstract

Water vapor is main absorption factor of outgoing longwave radiation. So, it is essential to monitoring the changes in the amount of water vapor and to understanding the causes of such changes. In this study, we monitor temporal variability of Total Precipitable Water (TPW) which observed by satellite. Among climate variables, precipitation play an important part to analyze temporal variability of water vapor because it is produced by water vapor. And El $Ni{\tilde{n}}o$ is one of climate variables which appear regularly in comparison with the others. Through them, we analyze relationship between temporal variability of TPW and climate variable. In this study, we analyzed long-term change of TPW from Moderate-Resolution Imaging Spectroadiometer (MODIS) data and change of precipitation in middle area of Korea peninsula quantitatively. After these analysis, we compared relation of TPW and precipitation with El $Ni{\tilde{n}}o$. The aim of study is to research El $Ni{\tilde{n}}o$ has an impact on TPW and precipitation change in middle area of Korea peninsula. First of all, we calculated TPW and precipitation from time series analysis quantitatively, and anomaly analysis is performed to analyze their correlation. As a result, TPW and precipitation has correlation mostly but the part had inverse correlation was found. This was compared with El $Ni{\tilde{n}}o$ of anomaly results. As a result, TPW and precipitation had inverse correlation after El $Ni{\tilde{n}}o$ occurred. It was found that El $Ni{\tilde{n}}o$ have a decisive effect on change of TPW and precipitation.

수증기는 지구 장파 복사에너지의 주요 흡수인자이다. 따라서 수증기량의 변화를 모니터링하고 변화의 원인을 세밀하게 조사하는 것은 필수적이다. 본 연구에서는 위성관측에 의해 얻어지는 Total Precipitable Water (TPW)자료를 사용하여 가강수량의 변화패턴을 모니터링 하고자 한다. 또한 기후인자들 중 수증기를 통해 생성되어 수증기의 변화패턴을 분석하는데 있어 중요한 역할을 하는 강수량과 다른 기후인자들에 비해 비교적 주기적으로 나타나는 엘니뇨를 통해 가강수량의 변화패턴과 기후인자와의 상관성분석을 실시하고자 한다. 본 연구에서는 TERRA/AQUA 위성의 Moderate-Resolution Imaging Spectroadiometer (MODIS) 센서를 통해 관측된 TPW의 장기적인 변화와 한반도 중남부지방의 강수량변화를 정량적으로 분석하고, 이들의 관계를 엘니뇨와 함께 비교하였다. 이를 통해 엘니뇨의 발생이 한반도 중남부지방의 강수량과 TPW의 변화에 영향을 주고 있는 지에 대해 조사하고자 한다. 먼저, 시계열 분석을 통해 TPW와 중남부지방 강수량의 변화를 정량적으로 산출하고 anomaly분석을 통해 이들의 변화를 세밀하게 분석한 결과 서로 반대의 양상을 띠는 부분이 발견되어 엘니뇨의 anomaly분석결과와 비교하였다. 그 결과 대부분 같은 양상을 띠고 있던 TPW와 강수량이 엘니뇨가 발생한 후 서로 반대의 양상을 띠는 것을 확인하였다.

Keywords

References

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