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In order to overcome the problem that the high resolution numerical model is difficult to be applied in the operational forecasting, the fine weather analysis system is developed based on Web. The system uses the B/S architecture, and the server side is made up of two core modules: data acquisition and preprocessing, and Web server. The model data processing is conducted directly using the grib code or NC format, which saves the storage space and retains the complete forecast information. The Django framework is established by the Python Web programming language, through the httpRequest mechanism to receive the frontend drawing information, and the Python extended packet pyGrADS is applied on the server side to generate forecast graphics in the background, which returns to the browser in the form of pictures, so to realize the function of realtime interactive display of numerical models in the B/S architecture. In the browser side, a simple interactive display interface that allows selecting freely the areas and variables is established, and according to the forecast ideas, different weather forecast graphics templates are designed for different categories, which can quickly generate various forecast graphics.