In this study, to investigate an optimal configuration method for the modeling system, we performed an optimization experiment by controlling the types of compilers and libraries, and the number of CPU cores because it was important to provide reliable model data very quickly for the national air quality forecast. We were made up the optimization experiment of twelve according to compilers (PGI and Intel), MPIs (mvapich-2.0, mvapich-2.2, and mpich-3.2) and NetCDF (NetCDF-3.6.3 and NetCDF-4.1.3) and performed wall clock time measurement for the WRF and CMAQ models based on the built computing resources. In the result of the experiment according to the compiler and library type, the performance of the WRF (30 min 30 s) and CMAQ (47 min 22 s) was best when the combination of Intel complier, mavapich-2.0, and NetCDF-3.6.3 was applied. Additionally, in a result of optimization by the number of CPU cores, the WRF model was best performed with 140 cores (five calculation servers), and the CMAQ model with 120 cores ( five calculation servers). While the WRF model demonstrated obvious differences depending on the number of CPU cores rather than the types of compilers and libraries, CMAQ model demonstrated the biggest differences on the combination of compilers and libraries.

Abstract
 1. 서 론
 2. 재료 및 방법
  2.1. 모델링 시스템 구성 및 환경
  2.2. 실험 설계
 3. 결과 및 고찰
  3.1. 컴파일러 및 라이브러리 종류에 따른 실험 결과
  3.2. 코어수에 따른 실험결과
 4. 결 론
 REFERENCES

• 명지수(국립환경과학원 대기질통합예보센터) | Jisu Myoung (Air Quality Forecasting Center, National Institute of Environmental Research) Corresponding author
• 김태희(국립환경과학원 대기질통합예보센터) | Taehee Kim (Air Quality Forecasting Center, National Institute of Environmental Research)
• 이용희(국립환경과학원 대기질통합예보센터) | Yonghee Lee (Air Quality Forecasting Center, National Institute of Environmental Research)
• 서인석(국립환경과학원 대기질통합예보센터) | Insuk Suh (Air Quality Forecasting Center, National Institute of Environmental Research)
• 장임석(국립환경과학원 대기질통합예보센터) | Limsuk Jang (Air Quality Forecasting Center, National Institute of Environmental Research)