A Study of the Evolution Regularity of Storm Based on the Data of Radar and Automatic Station

In order to study the effect of surface mesoscale convergence on the development of convective echoes, the authors analyze statistically the relationship of convergence field, rainfall, and radar echoes in the selected ten convective weather processes in Ningbo region by use of radar and surface automatic station data after quality control. And the role of surface mesoscale wind convergence in the storm development is revealed by use of the Shuman-Shapiro filter. At last, the storm is extrapolated with the cross-correlation method based on the statistics of relationship between the development of echoes and the surface convergence. The results indicate that: The surface mesoscale convergence in front of the radar echoes plays an important role in the echo occurrence and development, particularly the area where there exists surface mesoscale convergence line is more propitious to monomer newborn and development, at the same time it also has a great influence on the future direction and shape of the major echo. After scale separating by use of the Shuman-Shapiro filter it can be found in the front of and between the storms, the wind field interacts obviously with each other, as the transmission and media it plays an important role in the storm development. Finally, after extrapolating the storm based on the ground convergence field with the cross-correlation method, the shape and center of the echo have a very good correspondence between the extrapolation echoes filed and the fact echoes filed.