The Meteorological Information Integration And Analysis System Based On GIS

The Meteorological data is characterized by its multi-source,multi-status,and great capacity. How to establish the data industry standard,how to present meteorological information using enrich visualization performances, how to use data in history database to excavate deep level information for assisting decision-making, those are most important problems that we must face to.Geographical Information System(GIS) is a kind of modern sciences and technologies. It has strong data handling ability, spatial analysis function and plentiful visualization performances. Those advantages make it deeply developed in every field. As one of geographical data, in recent year,GIS is a research focus of meteorological research and operational applications and wildly used in meteorological areas.Based on discussing current research situation in meteorological information integration and analysis system based on GIS, using Delphi as programming language and ArcGIS Engine Development Kit 9.2 as core development software as well as SQL Server 2005 as database tool, meteorological information integration and analysis system based on GIS was designed and developed.The system integrated meteorological station observe data,FY-2c data, base data of Doppler radar and data in Micaps system. The major works are:1. Analyze the current research situation of the meteorological information integration and analysis system based on GIS, and then give out the overall design of this system.2. Based on the characteristic of each meteorological data, research the method on managing, processing and presenting them.3. Analyze the shortcut of the tradition Cressman interpolate method, and propose two ways to improve it, then illustrate the improvement by three experiments at day,month and year scale,comparing with IDW,Spline,Kriging,Cressman methods.4. In according to the demand of users, this system implement the climate statistics and diagnostic analysis function based on meteorological database retrieval and statistics, including climate trend analysis, abrupt climate change detection and climate variables separation on spatial and temporal.