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来源:Biogeosciences

作者:D. A. Jayakumar;J. R. Postel;P. V. Narvekar;等

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来源:Atmospheric Chemistry and Physics

作者:Q. Li;M. Val Martin;L. Kramer;等

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来源:Atmospheric Chemistry and Physics

作者:W. Wang;H. Li;A. Takami;等

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来源:Atmospheric Chemistry and Physics

作者:S. M. Kreidenweis;G. D. Franc;N. G. Swoboda-Colberg;等

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来源:Advances in Science and Research

作者:A. Twardowski;D. Serafin-Rek;B. Łapeta;等

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Geographical Information Systems (GIS) can be used to integrate data fromdifferent sources and in different formats to perform innovative spatialand temporal analysis. GIS can be also applied for climatic research tomanage, investigate and display all kinds of weather data.The main objective of this study is to demonstrate that GIS is a useful toolto examine and visualise precipitation distribution obtained from differentdata sources: ground measurements, satellite and radar data.Three selected days (30 cases) with convective rainfall situations wereanalysed. Firstly, scalable GRID-based approach was applied to store datafrom three different sources in comparable layout. Then, geoprocessingalgorithm was created within ArcGIS 9.2 environment. The algorithm included:GRID definition, reclassification and raster algebra. All of thecalculations and procedures were performed automatically. Finally,contingency tables and pie charts were created to show relationship betweenground measurements and both satellite and radar derived data. The resultswere visualised on maps.

    来源:Advances in Science and Research

    作者:A. Twardowski;D. Serafin-Rek;B. Łapeta;等

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