摘要
嵌套高分辨率网格对台风模拟有十分重要的影响。基于COAWST(coupled ocean atmosphere wave sediment transport)模式,针对登陆广东、海南的11个台风,设计了2组模拟方案。一组是在9 km分辨率下嵌套3 km分辨率网格,另一组是采用单层9 km分辨率网格。将模拟结果与中国气象局热带气旋资料中心发布的最佳路径数据进行对比,以探讨嵌套高分辨率网格是否可以提高台风模拟的准确性。从台风路径的模拟结果来看,在9 km分辨率下嵌套3 km分辨率网格对台风路径模拟的误差较小,而单层9 km分辨率网格模拟的台风路径误差较大。通过对比两组方案模拟的台风路径、强度和结构,在模拟区域中使用嵌套高分辨率网格方案的模拟准确性有所提高。两种方案模拟的风场以及副热带高压十分接近。相比于单层网格,嵌套了高分辨率网格方案模拟的台风路径、强度误差更小,台风眼更小,位涡更强。
The nested high-resolution grids play a crucial role in typhoon simulations.Based on the COAWST(coupled ocean-atmosphere-wave-sediment transport)model,this study designed two sets of simulation scenarios were designed for 11 typhoons that landed in Guangdong and Hainan.One set was used nesting a 3 km resolution grid within a 9 km resolution grid,while the other set employed a single-layer 9 km resolution grid.The simulation results were then compared with the best-track data released by the Tropical Cyclone Data Center of the China Meteorological Administration to investigate whether the nested high-resolution grid can improve the accuracy of typhoon simulations.From the perspective of typhoon tracks,nesting a 3 km resolution grid within a 9 km resolution grid resulted in smaller errors in typhoon track simulations and had a lesser impact on the simulation of the subtropical high pressure.In contrast,the typhoon track errors simulated by the single-layer 9 km resolution grid were larger.Therefore,by comparing the typhoon tracks and intensities simulated by the two sets of scenarios,the simulation accuracy was further improved when using the nested high-resolution grid scheme in the simulation area.The wind fields and subtropical high pressures simulated by the two schemes were quite similar.For the single-layer grid,the typhoon tracks and intensity errors simulated by the nested high-resolution grid scheme were smaller,with a smaller typhoon eye and stronger typhoon intensity and potential vorticity.
作者
邬贤文
陈勇航
魏煜
郑运霞
孙琳琳
马骁骏
辛渝
赵兵科
刘海晨
李金乐
李纤宁
WU Xianwen;CHEN Yonghang;WEI Yu;ZHENG Yunxia;SUN Linlin;MA Xiaojun;XIN Yu;ZHAO Bingke;LIU Haichen;LI Jinle;LI Xianning(College of Environmental Science and Engineering,Donghua University,Shanghai,China;Shanghai Typhoon Institute of China Meteorological Administration,Shanghai,China;Department of Atmospheric and Oceanic Sciences,Fudan University,Shanghai,China;Institute of Desert Meteorology,China Meteorological Administration,Xinjiang,Urumqi,China;School of Marine Engineering and Technology,Yat-Sen University,Zhuhai,Guangzhou,China)
出处
《东华大学学报（自然科学版）》
CAS
北大核心
2024年第2期181-189,共9页
Journal of Donghua University(Natural Science)
基金
科技部国家重点研发计划(2018YFC1506303,2018YFC1506305)
上海台风研究基金(TF11202202)
国家自然科学基金(41975029)。
