文档介绍：MeteoInfo: GIS software for meteorological data visualization and analysis
Yaqiang Wang
Chinese Academy of Meteorological Sciences
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GIS application in meteorology
GIS is for spatial data analysis. Meteorological and climatic data are inherently spatially variable
The powerful mapping capability, Layer-based visualization
The abundant position-based information and analysis functions on land surfaces, GIS, . topographic analysis, land-use changes, urban interface and water resources
Spatial analysis capabilities. For example, geostatistical analyses used in climate data interpolation
GIS has been applied in many facets of the meteorological field such as forecast model verification (Feidas et al., 2007), air pollution prediction (Dai and Rocke, 2000; Elbir, 2004; Hochadel et al., 2006), agrometeorological zoning (Menkir et al., 2000; McKenney et al., 2001), hydrometeorological forecasting (Bell and Moore, 1998) and as an education tool (Shipley, 2006).
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Commercial GIS software
Very expensive
Complex in operation
Not support popular meteorological data formats conveniently
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Visualization tools in atmospheric science community
GrADS, NCL, Ferret
Command-line interface
Not closely linked with GIS community
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MeteoInfo Development
Wang 2014 Meteorological Applications
GIS functions were developed from ground level.
Two editions: Java and C#.
MeteInfo could be downloaded freely from the website
Cross-platform: Windows, Unix, Linux, Mac OS.
Export as EPS, PDF, EMF, PNG, GIF, JPEG …
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4D(meteorology) -> 2D, (GIS)
To develop a comprehensive software tool which has the ability to handle both 4D meteorological data and traditional vector and raster GIS data.
Data model
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Supported data formats
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MeteoInfo Class Library
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