통계적 축소법을 이용한 한반도 인근해역의 미래 표층수온 추정

Prediction of Future Sea Surface Temperature around the Korean Peninsular based on Statistical Downscaling

  • 함희정 (강원대학교 건축공학과) ;
  • 김상수 (강원대학교 건축공학과) ;
  • 윤우석 ((주)창민우구조컨설탄트 건설기술연구소)
  • 발행 : 2011.08.31

초록

Recently, climate change around the world due to global warming has became an important issue and damages by climate change have a bad effect on human life. Changes of Sea Surface Temperature(SST) is associated with natural disaster such as Typhoon and El Nino. So we predicted daily future SST using Statistical Downscaling Method and CGCM 3.1 A1B scenario. 9 points of around Korea peninsular were selected to predict future SST and built up a regression model using Multiple Linear Regression. CGCM 3.1 was simulated with regression model, and that comparing Probability Density Function, Box-Plot, and statistical data to evaluate suitability of regression models, it was validated that regression models were built up properly.

키워드