Western coastal area of Chungnam, including Cheonsu Bay and Garorim Bay, has suffered from hot and cold extremes. In this study, the extreme sea surface temperature on the western coast of Chungnam was analyzed using the quantile regression method, which extracts the linear regression values in all quantiles. The regional MOHID (MOdelo HIDrodinâmico) model, with a high resolution on a 1/60o grid, was constructed to reproduce the extreme sea surface temperature. For future prediction, the SSP5-8.5 scenario data of the CMIP6 model were used to simulate sea surface temperature variability. Results showed that the extreme sea surface temperature of Cheonsu Bay in August 2017 was successfully simulated, and this extreme sea surface temperature had a significant negative correlation with the Pacific decadal variability index. As a result of future climate prediction, it was found that an average of 2.9oC increased during the simulation period of 86 years in the Chungnam west coast and there was a seasonal difference (3.2oC in summer, 2.4oC in winter). These seasonal differences indicate an increase in the annual temperature range, suggesting that extreme events may occur more frequently in the future.

Introduction
Data and Methods
    Quantile regression analysis
    Extreme SST event simulation and futureprojection
Results
    Quantile regression analysis
    Extreme SST event simulation and futureprojection
Summary and Discussion
Acknowledgments

• Byoung-Jun Lim(Department of Earth Science Education, Kongju National University, Chungnam 32588, Korea)
• You-Soon Chang(Department of Earth Science Education, Kongju National University, Chungnam 32588, Korea) Corresponding author