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The recent development of Geographical Information Science has facilitated its application on meteorological information services at high frequency. As a new pattern of system architecture, Mashup means to collect and aggregate distributed data and services from internet, so as to develop a new application. Among numerous types of Mashup application, geographical information Mashup is the most popular one. This paper proposes to employ Google Earth API, a provider of geographical information Mashup, into meteorological information services, and illustrate the approach and framework for aggregating resources from Google Earth API and local meteorological database into a B/S system. In the end, the framework is detailed in an application case, three-dimensional geographical information system of weather-induced disaster warning, which is featured by high visualization, high browsing speed and multi-user.