By using the basic data of the Doppler weather radar radial wind field, the quantitative information extraction of the basic data was carried out, and several strong convective indicators were constructed based on the information. The flow function and potential function can provide fine expressions of the regional radial wind field characteristics that are calculated through the iteration process of the Poisson equation. The suitable boundary condition and computing processing scheme were chosen, then a special solution can be determined that is convergence and satisfies the regional non-dispersive condition. Such a special solution of flow function and the potential function can be tested by inverse calculation to reconstruct the radial wind field and be compared by cross correlation analysis between reconstruction and original radial wind fields, and the results show that the solution can well provide the regional features of the radial wind field. Furthermore, according to the close relationship between radial wind numerical information and local strong convection, the spatial-temporal warning index equations of regional strong convection are constructed. Based on the warning indicators, the fine-zoning warning and time evolution situation of radial wind fields can be provided. Considering the radial wind characteristics of local rainstorms, a method of objective automatic recognition of radial wind convergence lines was developed using matrix conversion technology. It can provide quantitative information such as the geographical location, scale size, orientation distribution, coverage area, and dynamic tracking of radial wind convergence lines. Further, the radial wind convergence line is superimposed with the radial wind quantitative information background field, so that temporal-spatial forecasting and warning method can be obtained that is an intuitive and fine-detailed local strong convection systems warning.