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http://dx.doi.org/10.3741/JKWRA.2018.51.S-1.1057

Introduction to the production procedure of representative annual maximum precipitation scenario for different durations based on climate change with statistical downscaling approaches  

Lee, Taesam (ERI, Department of Civil Engineering, Gyeongsang National University)
Publication Information
Journal of Korea Water Resources Association / v.51, no.spc, 2018 , pp. 1057-1066 More about this Journal
Abstract
Climate change has been influenced on extreme precipitation events, which are major driving causes of flooding. Especially, most of extreme water-related disasters in Korea occur from floods induced by extreme precipitation events. However, future climate change scenarios simulated with Global Circulation Models (GCMs) or Reigonal Climate Models (RCMs) are limited to the application on medium and small size rivers and urban watersheds due to coarse spatial and temporal resolutions. Therefore, the current study introduces the state-of-the-art approaches and procedures of statistical downscaling techniques to resolve this limitation It is expected that the temporally downscaled data allows frequency analysis for the future precipitation and estimating the design precipitation for disaster prevention.
Keywords
Statistical downscaling; Climate change; Annual maximum precipitation; Trace selection method;
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