To understand the mean surface circulation and surface currents in the East Sea, trajectories of surface drifters passed through the East Sea from 1991 to 2017 were analyzed. By analyzing the surface drifter trajectory data, the main paths of surface ocean currents were grouped and the To understand the mean surface circulation and surface currents in the East Sea, trajectories of surface drifters passed through the East Sea from 1991 to 2017 were analyzed. By analyzing the surface drifter trajectory data, the main paths of surface ocean currents were grouped and the variation in each main current path was investigated.

  Multiple linear regression analyses were performed on the sea surface temperature data during the summer from 2016 to 2021. Independent variables used for regression were alongshore and cross-shore Ekman heat transports in the Jeju Strait and alongshore and cross-shore local heat transports. During the summers of the study period, excluding 2020, standardized regression coefficients of the cross-shore Ekman heat transport were largest.

  The surface temperature over the Yellow Sea in summer is associated with the meridional migration of East Asian jet stream (EAJS). When the EAJS migrates southward above the Yellow Sea(Cool summer), the whole system of subtropical meridional circulation cell shifts to the south. This migration helps middle level cool air to reach lower levels over the Yellow Sea. When the EAJS migrates northward above the Asian continent(Hot summer), the subtropical meridional circulation cell shifts to the north: warm lower level air from the North Pacific strongly penetrates to the north of Yellow Sea and solar radiation increases due to reduction of clouds. In conclusion, the surface temperature of the Yellow Sea can be explained according to the migration of the jet stream.

  Coupled Model Intercomparison Project 6 (CMIP6) is a project in which each national institution participates, predicting the future by 2100 year according to scenarios of anthropogenic CO2 emissions and sharing the result various physical variables. CMIP6 models are performed by integrating various models such as atmosphere, ocean, biology, and chemistry, and require a lot of computer resources because CMIP6 models are global climate models. For this reason, CMIP6 models have low resolution, and it make a problem not properly predicting ocean changes around Korean. To solve the limitation of low resolution, a high-resolution future prediction model of the Northwest Pacific region was built using the Regional Ocean Modeling System (ROMS), and Analyzing the current, water temperature, and salinity changes are the purpose of our labolatory.