| GIS has been considered as a very useful tool for atmospheric science research. However, since the characteristics of the movement of atmosphere (for example, the motion of atmosphere always with large scale feature) and the limitation of commercial GIS platform towards to special meteorological application, it is hard or very complicated for us to hold the whole situation of our global atmosphere information. And moreover, we also found that our current meteorological data lacked of universalization towards to different GIS software.This paper researches and designs the communication method which called Adding Dimension Way between GIS base data and meteorological base data. After algorithms library introduced, the global atmospheric data analysis & forecast system has been developed so as to people can receive and analysis the global atmospheric structure easily. Moreover, the experienced algorithms also have been inducted in order to making the radar and satellite observation data can be added conveniently. In addition, new external algorithm and meteorological data can be processed though the API which enhances the compatibility of the system. The key point of atmospheric data processed by GIS base data is applied the offset which stored in SHX record to the dBASE, then using the matching information to establish the matching index, as well as connected with the meteorological data which has been pre-processed by the method of Add Dimension. There are four steps can be divided to devise the algorithm, I. Reading the GIS data; II.Reading the meteorological data; III.Matching the coordinate of atmospheric data, GIS and computer screen;Ⅳ.Analyzing the algorithms and the output results. Finally, an instance has been introduced to check-up the stability of the system.Based on the direct communication method between GIS base data and meteorological base data, the atmospheric vertical structure (V-30) viewing model has been programmed as a part of the global atmospheric data analysis & forecast system. Compare with past V-3θviewing system, we can not only see the vertical structure from one station to another singly, but also we will be able to hold the situation in the selected areas as a whole. Finally, a instance has been introduced to prove the operability of the model.Then, the research of airborne radar has been applied to the GIS platform which designed in this paper. The whole observation route has been simulated even the lack of real data observed. At the same time, a method for addressing velocity ambiguity of airborne radar (with different status of flight) also has been introduced.Furthermore, this paper introduced the interface technology between GIS platform and mesoscale model-WRF, which enables us to make the data assimilation easier. And this paper also compares the different results with different types of data assimilated. And during this process, a new ambiguity resolution method has been researched and applied to the model of multi-type data assimilationFinally, a real simulated example plus data assimilation experiment of July 8th 2007 in Jianghuai area has been presented. The results show that the real observation data analysis is much better than the simulated data employed since the real data make us much easier and deeper to catch the essence of the weather system, especially for the point at the precipitation occurs and disappears. Generally, the weaknesses of the model can be fall into three categories:Background errors (even when intensive data assimilated), model formulation and the physics parameterization unsolved. However, we also should relise that the outputs from weather modelling could not be improved dramatically due to the inherent theoretical flaws which model depend on currently.The Innovations of this paper including:1) The communication method which called Adding Dimension Way between GIS base data and meteorological base data2) The global atmospheric vertical structure (V-3θ) viewing model designing and programming3) The algorithm for airborne radar simulation and its application with GIS, as well as a new a method for addressing velocity ambiguity of airborne radar (with different status of flight) also has been introduced4) New MeteoGIS format for GIS platform interface.5) A new ambiguity resolution method based on "Zero Line" searching.6) Multi-type data assimilation model designing and its application, including the contrast of 3DVar towards to radar, satellite and soundings respectively...
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