We have analysed the observed surface and vertical meteorological data to get atmospheric information over the Busan metropolitan area. For this, we have selected 10 days in all season such as spring, summer I(Jangma season), summer II(hot season), autumn and winter. The result which have performed cluster analysis using atmospheric data represented that these days are included to most frequently appeared synoptic cluster. We have simulated wind field around Busan metropolitan area which is assigned as 1km2 using RAMS. The calculated air temperature and the wind speed was similar to the observed the that, and the trends of daily variation showed good agreement. RMSE and IOA also showed reliable value. These results indicated the RAMS is able to simulate and predict detailed atmospheric phenomenon.

• 임헌호(부산대학교 대기과학과) | Heon Ho Leem
• 이화운(부산대학교 대기과학과) | Hwa Woon Lee
• 정우식(인제대학교 대기환경정보공학과) | Woo Sik Jung Corresponding Author