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
  • [21] ViSTPro: A Platform for Visualization of Spatiotemporal Processes on Google Earth
    Sifakis, Yiannis
    Christodoulakis, Stavros
    Moumoutzis, Nektarios
    2016 11TH INTERNATIONAL WORKSHOP ON SEMANTIC AND SOCIAL MEDIA ADAPTATION AND PERSONALIZATION (SMAP), 2016, : 117 - 122
  • [22] Visualization of the concentration distribution of Asian dust in the Google Earth
    Kusaka, Takashi
    Kono, Takafumi
    Okuda, Wataru
    Nakano, Yu
    SIXTH INTERNATIONAL SYMPOSIUM ON DIGITAL EARTH: MODELS, ALGORITHMS, AND VIRTUAL REALITY, 2010, 7840
  • [23] Design and Implementation of the Taxi Telematics Driving History Data Visualization System using Google Earth
    Choi, Jin-woo
    Yang, Young-kyu
    KOREAN JOURNAL OF REMOTE SENSING, 2009, 25 (01) : 61 - 69
  • [24] General Transit Feed Specification Data Visualization GTFS Visuliazation Website Based on Google Maps API
    Zhang, Tianchi
    Chen, Mei-Hwa
    Lawson, Catherine
    2014 22ND INTERNATIONAL CONFERENCE ON GEOINFORMATICS (GEOINFORMATICS 2014), 2014,
  • [25] Visualization of A-Train vertical profiles using Google Earth
    Chen, Aijun
    Leptoukh, Gregory
    Kempler, Steven
    Lynnes, Christopher
    Savtchenko, Andery
    Nadeau, Denis
    Farley, John
    COMPUTERS & GEOSCIENCES, 2009, 35 (02) : 419 - 427
  • [26] Research on 3D Visualization of DEM Data and Line Optimization Based on Google Earth and ACIS
    Liu, Tingting
    Liu, Xiyu
    Dong, Xiaozhi
    HUMAN CENTERED COMPUTING, HCC 2014, 2015, 8944 : 735 - 741
  • [27] Virtual globes for UAV-based data integration: Sputnik GIS and Google Earth™ applications
    Arza-Garcia, Marcos
    Gil-Docampo, Mariluz
    Ortiz-Sanz, Juan
    Martinez-Rodriguez, Santiago
    INTERNATIONAL JOURNAL OF DIGITAL EARTH, 2019, 12 (05) : 583 - 593
  • [28] Integration and Visualization of NDE Data in Digital Building Models – A conceptual view
    Schickert, Martin
    Artus, Mathias
    Koch, Christian
    e-Journal of Nondestructive Testing, 2022, 27 (09):
  • [29] Integration and application of panorama field geological images and Google maps
    XU Chunhui 1
    2.College of Earth Sciences
    3.Hydrogeological Survey of Jilin Province
    Global Geology, 2012, 15 (01) : 35 - 41
  • [30] Visualization of geochemical data for rocks and sediments in Google Earth: Development of a data converter application for geochemical and isotopic data sets in database systems
    Yamagishi, Yasuko
    Suzuki, Katsuhiko
    Tamura, Hajimu
    Yanaka, Hiroshi
    Tsuboi, Seiji
    GEOCHEMISTRY GEOPHYSICS GEOSYSTEMS, 2011, 12