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Combinational Optimization of the WRF Physical Parameterization Schemes to Improve Numerical Sea Breeze Prediction Using Micro-Genetic Algorithm
- Title
- Combinational Optimization of the WRF Physical Parameterization Schemes to Improve Numerical Sea Breeze Prediction Using Micro-Genetic Algorithm
- Authors
- Yoon, Ji Won; Lim, Sujeong; Park, Seon Ki
- Ewha Authors
- 박선기
- SCOPUS Author ID
- 박선기
- Issue Date
- 2021
- Journal Title
- APPLIED SCIENCES-BASEL
- ISSN
- 2076-3417
- Citation
- APPLIED SCIENCES-BASEL vol. 11, no. 23
- Keywords
- sea breeze circulations; optimization algorithm; numerical weather prediction model; coastal regions; fitness function
- Publisher
- MDPI
- Indexed
- SCIE; SCOPUS
- Document Type
- Article
- Abstract
- This study aims to improve the performance of the Weather Research and Forecasting (WRF) model in the sea breeze circulation using the micro-Genetic Algorithm (micro-GA). We found the optimal combination of four physical parameterization schemes related to the sea breeze system, including planetary boundary layer (PBL), land surface, shortwave radiation, and longwave radiation, in the WRF model coupled with the micro-GA (WRF-mu GA system). The optimization was performed with respect to surface meteorological variables (2 m temperature, 2 m relative humidity, 10 m wind speed and direction) and a vertical wind profile (wind speed and direction), simultaneously for three sea breeze cases over the northeastern coast of South Korea. The optimized set of parameterization schemes out of the WRF-mu GA system includes the Mellor-Yamada-Nakanishi-Niino level-2.5 (MYNN2) for PBL, the Noah land surface model with multiple parameterization options (Noah-MP) for land surface, and the Rapid Radiative Transfer Model for GCMs (RRTMG) for both shortwave and longwave radiation. The optimized set compared with the various other sets of parameterization schemes for the sea breeze circulations showed up to 29 % for the improvement ratio in terms of the normalized RMSE considering all meteorological variables.
- DOI
- 10.3390/app112311221
- Appears in Collections:
- 공과대학 > 환경공학과 > Journal papers
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