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Key Techniques of Meteorological Service Decision-Making System Based on GIS

Author: XiangYiMing
Tutor: HuJiPing
School: Beijing Jiaotong University
Course: Photogrammetry and Remote Sensing
Keywords: GIS MICAPS Data organization and management Meteorological Elements retrieval Interpolation algorithm
CLC: TP311.52
Type: Master's thesis
Year: 2009
Downloads: 322
Quote: 6
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Abstract


Geographic information system (GIS) is a storage , retrieval , mapping and analysis of spatial data integrated information technology play an increasingly important role in the construction of information systems within various industries in recent years , including the field of meteorology information system construction . The cornerstone of the the meteorological services decision-making system is all kinds of massive information, which includes both spatial geographic information , and include a large number of meteorological and space are inseparable attribute information . GIS technology advantage can visually manage and query massive weather information , geospatial data analysis and processing , combining with the numerical model and its graphics , image intuitive visual representation model calculations . GIS spatial analysis capabilities can also be combined with meteorological information technology , space and dynamic geographic information , and provide a scientific basis for decision-making with a certain model . Funded project of the National Meteorological Center of the China Meteorological Administration national decision-making meteorological services system ( hereinafter referred MESIS ) \and launched an in-depth study of this topic . The main content of the paper is as follows : technology route of MESIS system overall framework and the main features ; MESIS in the organization and management of the data , of MICAPS data and GIS data conversion ; interpolation algorithm , based on precipitation interpolation algorithm in existing the basis for comparison of the two algorithms based the the Cressman algorithm improved algorithm MCressman .

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