260-4 Extreme Precipitation Changes over South Korea Under RCP Scenarios Projected By Rcms.

See more from this Division: ASA Section: Climatology and Modeling
See more from this Session: Climatology and Modeling Oral

Tuesday, November 8, 2016: 2:05 PM
Phoenix Convention Center North, Room 126C

Sera Jo, Department of Atmospheric Sciences, Pusan National University, Busan, Korea, Busan, Korea, The Republic of and JoongBae Ahn, Gumjeong-Gu, Pusan National University, Busan, South Korea, Busan, REPUBLIC OF KOREA
Abstract:
The change of extreme precipitation is assessed with the HadGEM2-AO - 5 Regional Climate Models (RCMs) chain, which is a national downscaling project undertaken cooperatively by several South Korean institutes aimed at producing regional climate change projection with fine resolution (12.5 km) around the Korean Peninsula. The downscaling domain, resolution and lateral boundary conditions are held the same among the 5 RCMs to minimize the uncertainties from model configuration. Climatological changes reveal a statistically significant increase in the mid-21st century (2046-2070; Fut1) and the late-21st century (2076-2100; Fut2) precipitation properties related to extreme precipitation, such as precipitation intensity and average of upper 5 percentile daily precipitation, with respect to the reference period (1981-2005). Changes depending on the intensity categories also present a clear trend of decreasing light rain and increasing heavy rain. In accordance with these results, the change of 1-in-50 year maximum precipitation intensity over South Korea is estimated by the GEV method. The result suggests that the 50-year return value (RV50) will change from −32.69% to 72.7% and from −31.6% to 96.32% in Fut1 and from −31.97% to 86.25% and from −19.45% to 134.88% in Fut2 under representative concentration pathway (RCP) 4.5 and 8.5 scenarios, respectively, at the 90% confidence level. This study suggests that multi-RCMs can be used to reduce uncertainties and assess the future change of extreme precipitation more reliably. Moreover, future projection of the regional climate change contains uncertainties evoked from not only driving GCM but also RCM. Therefore, multi-GCM and multi-RCM studies are expected to provide more robust projection.

 This work was carried out with the support of Rural Development Administration Cooperative Research Program for Agriculture Science and Technology Development under Grant Project No. PJ009953, Republic of Korea.

See more from this Division: ASA Section: Climatology and Modeling
See more from this Session: Climatology and Modeling Oral