Impact of Multiphysics Ensemble on Typhoon Mujigae (2015) Simulation in WRF Model |
| |
Authors: | LIAN Qin-lai ZHANG Yu XU Jian-jun LIU Xiao-yu |
| |
Affiliation: | 1. Laboratory for Coastal Ocean Variation and Disaster Prediction, College of Ocean and Meteorology, Guangdong Ocean University, Zhanjiang, Guangdong 524088 China; 2. CMA-GDOU Joint Laboratory for Marine Meteorology, South China Sea Institute of Marine Meteorology, Guangdong Ocean University, Zhanjiang, Guangdong 524088 China,1. Laboratory for Coastal Ocean Variation and Disaster Prediction, College of Ocean and Meteorology, Guangdong Ocean University, Zhanjiang, Guangdong 524088 China; 2. CMA-GDOU Joint Laboratory for Marine Meteorology, South China Sea Institute of Marine Meteorology, Guangdong Ocean University, Zhanjiang, Guangdong 524088 China; 3. Key Laboratory of Space Ocean Remote Sensing and Application of Ministry of Natural Resources/Key Laboratory of Climate Resources and Environment in Continental Shelf Sea and Deep Ocean, Zhanjiang, Guangdong 524088 China,2. CMA-GDOU Joint Laboratory for Marine Meteorology, South China Sea Institute of Marine Meteorology, Guangdong Ocean University, Zhanjiang, Guangdong 524088 China; 4. Shenzhen Institute of Guangdong Ocean University, Shenzhen, Guangdong 518120 China. and 1. Laboratory for Coastal Ocean Variation and Disaster Prediction, College of Ocean and Meteorology, Guangdong Ocean University, Zhanjiang, Guangdong 524088 China; 2. CMA-GDOU Joint Laboratory for Marine Meteorology, South China Sea Institute of Marine Meteorology, Guangdong Ocean University, Zhanjiang, Guangdong 524088 China |
| |
Abstract: | Typhoons, characterized by their high destructive potential, significantly impact coastal residents’ lives and property safety. To optimize numerical models’ typhoon simulation, carefully selecting appropriate physical para- meterization schemes is crucial, offering robust support for disaster prevention and reduction efforts. This study focuses on Typhoon Mujigae, conducting a comparative analysis of different physical parameterization schemes (microphysics, cu- mulus parameterization, shortwave radiation, and longwave radiation) in WRF simulations. The key findings are as follows: cumulus and microphysics parameterization schemes notably influence the simulation of typhoon tracks and intensity, while the impact of longwave and shortwave radiation schemes is relatively minor. Typhoon intensity is more sensitive to the choice of parameterization schemes than track. Together, the Kain-Fritsch cumulus convection scheme, WRF Single Moment 5-class scheme, and Dudhia/RRTM radiation scheme yield the best intensity simulation results. Compared with the Betts-Miller-Janji? and Grell 3D scheme, the use of the Kain-Fritsch scheme results in a clearer, taller eyewall and more symmetric deep convection, enhancing precipitation and latent heat release, and consequently improving the simulated typhoon intensity. More complex microphysics schemes like Purdue Lin, WRF Single Moment 5-class, and WRF Double Moment 6-class perform better in simulations, while simpler schemes like Kessler and WSM3 exhibit significant deviations in typhoon simulations. Particularly, the large amount of supercooled water clouds simulated by the Kessler scheme is a major source of bias. Furthermore, a coupling effect exists between cumulus convection and mi- crophysics parameterization schemes, and only a reasonable combination of both can achieve optimal simulation results. |
| |
Keywords: | WRF typhoon simulation cumulus parameterization microphysics parameterization deep convection |
|
| 点击此处可从《热带气象学报(英文版)》浏览原始摘要信息 |
|
点击此处可从《热带气象学报(英文版)》下载免费的PDF全文 |
|