A semi-empirical model for mean wind velocity profile of landfalling hurricane boundary layers

被引:42
作者
Snaiki, Reda [1 ]
Wu, Teng [1 ]
机构
[1] SUNY Buffalo, Dept Civil Struct & Environm Engn, Buffalo, NY 14126 USA
关键词
Hurricanes; Boundary layer; Wind field; Doppler radar; Dropsondes; Landfall; TROPICAL CYCLONE WINDS; GPS DROPWINDSONDE; FLOW CHARACTERISTICS; GRADIENT BALANCE; FIELD MODEL; TYPHOON; DYNAMICS; JETS; CORE;
D O I
10.1016/j.jweia.2018.08.004
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
The existence of the super-gradient-wind region, where the tangential winds are larger than the gradient wind, has been widely observed inside the hurricane boundary layer. Hence, the extensively used log-law or power-law wind profiles under near-neutral conditions may be inappropriate to characterize the boundary layer winds associated with hurricanes. Recent development in the wind measurement techniques overland together with the abundance of data over ocean enabled a further investigation on the boundary layer wind structure of hurricanes before/after landfall. In this study, a semi-empirical model for mean wind velocity profile of landfalling hurricanes has been developed based on the data from the Weather Surveillance Radar-1988 Doppler (WSR-88D) network operated by the National Weather Service and the Global Positioning System (GPS) dropsondes collected by the National Hurricane Center and Hurricane Research Division. The proposed mathematical representation of engineering wind profile consists of a logarithmic function of the height z normalized by surface roughness z(0) (z/z(0)) and an empirical function of z normalized by the height of maximum wind delta (z/delta). In addition, the consideration of wind direction in terms of the inflow angle is integrated in the boundary layer wind profile. Field-measurement wind data for both overland and over-ocean conditions have been employed to demonstrate the accuracy of simulation and convenience in use of the developed semi-empirical model for mean wind velocity profile of landfalling hurricanes.
引用
收藏
页码:249 / 261
页数:13
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