Abstract: Local Analysis Prediction System (LAPS) is a useful tool that employs various observation data to generate meteorological meso-scale 3D information fields with high temporal and spatial resolutions. A strong convective weather, which had been happened in Xuzhou of Jiangsu Province on 5 June, 2009, was analyzed with LAPS data. The results indicate as follows: (1) When convection is happening, the atmosphere is in an unstable state. (2) A dynamic and unstable condition is the energy for the strong convective weather; abundant water vapor is of benefit to keep a strong convective state. (3) Both low layers convergence and high level divergence are helpful for the convective motion. (4) Also when convection is happening, updraft is extremely intense. (5) Precipitation distribution can distinguish precipitation area and hailstone area very well. Application results show that LAPS physical quantity fields possess good explanation application ability for a strong convective weather system, and they can clearly reflect the meso-scale characteristic in the strong convective system. By comparing with the observational data, it is found that the physical characteristics of LAPS are consistent with the actual weather conditions, and the LAPS data have many advantages in forecasting the meso-scale convection system.