Subdaily precipitation downscaling of climate change scenarios

• 영문명: Subdaily precipitation downscaling of climate change scenarios
• 발행기관: 한국방재학회
• 저자명: Lee, Taesam Jeong, Changsam
• 간행물 정보: 『3. 한국방재학회 학술대회논문집』2014년, 191~191쪽, 전체 1쪽
• 주제분류: 공학 > 기타공학
• 파일형태: PDF
• 발행일자: 2014.02.19

영문 초록

In the current study, a temporal downscaling model that combines a nonparametric stochastic simulation approach with a genetic algorithm is proposed. The proposed model was applied to Jinju station in South Korea for a historical time period to validate the model performance. The results revealed that the proposed model preserves the key statistics (i.e., the mean, standard deviation, skewness, lag-1 correlation, and maximum) of the historical hourly precipitation data. In addition, the occurrence and transition probabilities are well preserved in the downscaled hourly precipitation data. Furthermore, the RCP4.5 and RCP8.5 climate scenarios for the Jinju station were also analyzed, revealing that the mean and the wet-hour probability significantly increased and the standard deviation and maximum slightly increased in these scenarios. The magnitude of the increase was greater in RCP8.5 than RCP4.5.

키워드

Climate Change Daily Precipitation Extreme Events Hourly Precipitation RCP Temporal Downscaling