A statistical analysis of the distribution of convective windstorms and their radar characteristics in Hubei Province, China. Part 1
Wang, Jue ; Xiao, Yanjiao ; Leng, Liang
With the development of radar observation technology, the analysis and utilization of radar product characteristics have become an important method for the early prediction of windstorms and gales associated with deep convection. Initially, this analysis was conducted by identifying the reflectivity characteristics that correspond to convective storms which generate downbursts. These characteristics include bow echoes (Fujita, 1979), reflectivity cores with a rapid decrease in centroid height (Roberts and Wilson, 1989), and rapid changes in the vertical integral of liquid (VIL) water over time (Li et al., 2014). Using Doppler radar, previous studies of the radial velocity field have indicated that significant mid-altitude radial convergence (MARC, Przybylinski et al., 1995), mesocyclones, and a high radial velocity in the lower layer (Yin et al., 2007; Wang et al., 2009) can be used to warn of the occurrence of downbursts several minutes in advance. Meteorologists have used these radar characteristics to conduct automatic recognition of such features for early warning systems (Smith et al., 2004). Furthermore, it has also been recognized that the radar parameters and thresholds must still be analysed and modified based on the statistics of a large number of cases because of the relatively small number of cases analysed to date and the complexity of the wind field in clouds (Tao and Dai, 2011). In this study, storm-cell recognition was conducted using Doppler radar datasets. The radar characteristics of convective cells were automatically extracted and were statistically analysed, providing a reference for the automatic recognition and the early warning of windstorms and gales associated with severe convection.</p>
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