This paper proposed a Marching Trapezoidal Polyhedrons 3D modeling algorithm (MTPD) based on the spatial cone-shape distribution of Doppler weather radar base data. In this algorithm, a trapezoidal polyhedron was introduced as a basic volume element for modelling. On the other hand, the hexahedral ?index or tetrahedral index was selected as the construction model for the 3D iso-surface based on the difference in spatial range for 3D radar modeling, to balance the efficiency of the algorithm and the precision of the modeling results. Based on this algorithm, a doppler weather radar 3D visualization platform was developed using WebGL technology. The results revealed that the algorithm significantly improved efficiency without compromising the precision of 3D modeling when compared with the conventional modeling algorithm based on radar grid data. The computational efficiency for the algorithms were increased by 62.5% and 23.0%, under the tetrahedral index mode, the 3D echo structure was more continuous, with a higher level of precision. The doppler weather 3D radar visualization platform based on the B/S architecture could provide a cross-platform 3D radar display, thus visualizing the 3D structure of convective cloud effectively.