Integration of Google Maps/Earth with microscale meteorology models and data visualization

被引:42
|
作者
Wang, Yansen [1 ]
Huynh, Giap [1 ]
Williamson, Chatt [1 ]
机构
[1] US Army, Res Lab, Adelphi, MD 20783 USA
关键词
Model result visualization; Model Google GIS integration; Microscale meteorology; TRANSFORMATION;
D O I
10.1016/j.cageo.2013.07.016
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
The Google Maps/Earth GIS has been integrated with a microscale meteorological model to improve the system's 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. Published by Elsevier Ltd.
引用
收藏
页码:23 / 31
页数:9
相关论文
共 50 条
  • [1] Visualization of geoscience data on Google Earth: Development of a data converter system for seismic tomographic models
    Yamagishi, Yasuko
    Yanaka, Hiroshi
    Suzuki, Katsuhiko
    Tsuboi, Seiji
    Isse, Takehi
    Obayashi, Masayuki
    Tamura, Hajimu
    Nagao, Hiromichi
    COMPUTERS & GEOSCIENCES, 2010, 36 (03) : 373 - 382
  • [2] Introducing Google Chart Tools and Google Maps API in Data Visualization Courses
    Zhu, Ying
    IEEE COMPUTER GRAPHICS AND APPLICATIONS, 2012, 32 (06) : 6 - 9
  • [3] GOOGLE MAPS API AND GOOGLE EARTH API INTEGRATION: DEVELOPMENT OF AN EDUCATIONAL TOOL FOR CARTOGRAPHY COURSES
    Bildirici, Ibrahim Oztug
    Kirtiloglu, Osman Sami
    Ulugtekin, Nesibe Necla
    5TH INTERNATIONAL CONFERENCE ON CARTOGRAPHY AND GIS, VOLS 1 AND 2, 2014, : 433 - 442
  • [4] Google earth - How Google maps the world
    Garfinkel, Simson
    TECHNOLOGY REVIEW, 2007, 110 (06) : 20 - 21
  • [5] Visualization of Remote Hyperspectral Image Data Using Google Earth
    Crowley, Matthew David
    Chen, William
    Sukalac, Eric J.
    Sun, Xiuhong
    Coronado, Patrick L.
    Zhang, Guo-Qiang
    2006 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-8, 2006, : 907 - +
  • [6] Transportation asset management and visualization using semantic models and Google Earth
    Darter, Michael T.
    Lasky, Ty A.
    Ravani, Bahram
    TRANSPORTATION RESEARCH RECORD, 2007, 2024 (2024) : 27 - 34
  • [7] A POLITICAL ECONOMIC CRITIQUE OF GOOGLE MAPS AND GOOGLE EARTH
    Lee, Micky
    INFORMATION COMMUNICATION & SOCIETY, 2010, 13 (06) : 909 - 928
  • [8] Integration and interoperability of multiple theme data on the basis of Google Earth
    Shi, W.
    Meng, L.
    GEOINFORMATICS 2006: GEOSPATIAL INFORMATION TECHNOLOGY, 2006, 6421
  • [9] Geospatial Visualization of Atmospheric Chemistry Satellite Data Using Google Earth
    Burke, John
    REMOTE SENSING SYSTEM ENGINEERING, 2008, 7087
  • [10] Google Earth-aided visualization and interpretation of geochemical survey data
    Zuo, Renguang
    Yin, Bojun
    GEOCHEMISTRY-EXPLORATION ENVIRONMENT ANALYSIS, 2022, 22 (02)