Design And Implementation Of Strong Convective Weather Recognition System

With the development of society, the meteorological science and forecast service needs, the requirement of accurate forecast increases. The traditional system of strong convection weather can not fulfill the request of weathermen. To solve the problem, this thesis is about the system of strong convective identification based on.NET and spatial analysis technology.Firstly, this thesis introduces the research background and research significance of the project. Secondly, it compares the internal research status and research level with the international ones. It investigates the technology of ASP.NET, AJAX, spatial analysis and strong convective identification, then analyzes the systemic design of database and modules according to the requirement. At last, the thesis focuses on the implementation procedure and tests of the system.The focal points of the thesis are how to use decision tree to distinguish strong convective and Object-oriented method of spatial data. The development platform based on.NET implements the exploit of the system of strong convective identification based on the technologies. It makes the system easier to maintain and expand, and more universal.