The initial and boundary conditions are important factors in regional chemical transport modeling systems. The method of generating the chemical boundary conditions for regional air quality models tends to be different from the dynamically varying boundary conditions in global chemical transport models. In this study, the impact of real time Copernicus atmosphere monitoring service (CAMS) re-analysis data from the modeling atmospheric composition and climate project interim implementation (MACC) on the regional air quality in the Korean Peninsula was carried out using the community multi-scale air quality modeling system (CMAQ). A comparison between conventional global data and CAMS for numerical assessments was also conducted. Although the horizontal resolution of the CAMS re-analysis data is not higher than the conventionally provided data, the simulated particulate matter (PM) concentrations with boundary conditions for CAMS re-analysis is more reasonable than any other data, and the estimation accuracy over the entire Korean peninsula, including the Seoul and Daegu metropolitan areas, was improved. Although an inland area such as the Daegu metropolitan area often has large uncertainty in PM prediction, the level of improvement in the prediction for the Daegu metropolitan area is higher than in the coastal area of the western part of the Korean peninsula.

Abstract
 1. 서 론
 2. 자료 및 방법
  2.1. CAMS 재분석 자료
  2.2. 미세먼지 예보 시스템
  2.3. 수치실험 설계
  2.4. 연구 사례일
 3. 결과 및 고찰
  3.1. CAMS 재분석 자료 평가
  3.2. 기상 모델링 결과 검증
  3.3. 재분석 자료와 동아시아 영역의 미세먼지 농도 예측
 4. 결 론
 감사의 글
 REFERENCES

• 이강열(부산대학교 대기환경과학과, Division of Earth Environment System, Pusan National University) | Kangyeol Lee
• 이순환(부산대학교 지구과학교육과, Department of Earth Science Education, Pusan National University) | Soon-Hwan Lee Corresponding author
• 김은지(부산대학교 지구과학과, Department of Earth Science, Pusan National University) | EunJi Kim