Title of article
Integration of Google Maps/Earth with microscale meteorology models and data visualization
Author/Authors
Wang، نويسنده , , Yansen and Huynh، نويسنده , , Giap and Williamson، نويسنده , , Chatt، نويسنده ,
Issue Information
روزنامه با شماره پیاپی سال 2013
Pages
9
From page
23
To page
31
Abstract
The Google Maps/Earth GIS has been integrated with a microscale meteorological model to improve the systemʹs functionality and ease of use. Almost all the components of the model system, including the terrain data processing, morphological data generation, meteorological data gathering and initialization, and displaying/visualizing the model results, have been improved by using this approach. Different from the traditional stand-along model system, this novel system takes advantages of enormous resources in map and image data retrieving/handling, four-dimensional (space and time) data visualization, overlaying, and many other advanced GIS features that the Google Maps/Earth platform has to offer. We have developed modular components for all of the model system controls and data processing programs which are glued together with the JavaScript language and KML/XML data. We have also developed small modular software using the Google application program interface to convert the model results and intermediate data for visualizations and animations. Capabilities such as high-resolution image, street view, and 3D buildings in the Google Earth/Map are also used to quickly generate small-scale vegetation and building morphology data that are required for the microscale meteorological models. This system has also been applied to visualize the data from other instruments such as Doppler wind lidars. Because of the tight integration of the internet based GIS and a microscale meteorology model, the model system is more versatile, intuitive, and user-friendly than a stand-along system we had developed before. This kind of system will enhance the user experience and also help researchers to explore new phenomena in fine-scale meteorology.
Keywords
Model result visualization , Model Google GIS integration , Microscale meteorology
Journal title
Computers & Geosciences
Serial Year
2013
Journal title
Computers & Geosciences
Record number
2289680
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