Development of a Web-based visualization platform for climate research using Google Earth

被引:32
|
作者
Sun, Xiaojuan [1 ,4 ]
Shen, Suhung [2 ,3 ]
Leptoukh, Gregory G. [3 ]
Wang, Panxing [1 ]
Di, Liping [2 ]
Lu, Mingyue [1 ]
机构
[1] Nanjing Univ Informat Sci & Technol, China Inst Mfg Dev, Nanjing 210044, Jiangsu, Peoples R China
[2] George Mason Univ, CSISS, Fairfax, VA 22030 USA
[3] NASA, Goddard Space Flight Ctr, Greenbelt, MD 20771 USA
[4] Nanjing Univ Informat Sci & Technol, Key Lab Meteorol Disaster, Minist Educ, Nanjing 210044, Jiangsu, Peoples R China
基金
中国国家自然科学基金;
关键词
Data visualization; KML; Google Earth; Climate study; Data sharing;
D O I
10.1016/j.cageo.2011.09.010
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Recently, it has become easier to access climate data from satellites, ground measurements, and models from various data centers. However, searching, accessing, and processing heterogeneous data from different sources are very time-consuming tasks. There is lack of a comprehensive visual platform to acquire distributed and heterogeneous scientific data and to render processed images from a single accessing point for climate studies. This paper documents the design and implementation of a Web-based visual, interoperable, and scalable platform that is able to access climatological fields from models, satellites, and ground stations from a number of data sources using Google Earth (GE) as a common graphical interface. The development is based on the TCP/IP protocol and various data sharing open sources, such as OPeNDAP, GDS, Web Processing Service (WPS), and Web Mapping Service (WMS). The visualization capability of integrating various measurements into GE extends dramatically the awareness and visibility of scientific results. Using embedded geographic information in the GE, the designed system improves our understanding of the relationships of different elements in a four-dimensional domain. The system enables easy and convenient synergistic research on a virtual platform for professionals and the general public, greatly advancing global data sharing and scientific research collaboration. (c) 2011 Elsevier Ltd. All rights reserved.
引用
收藏
页码:160 / 168
页数:9
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