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

Computers and Geosciences

Volumn 61, Issue , 2013, Pages 23-31

  Wang, Yansen ^a   Huynh, Giap ^a   Williamson, Chatt ^a  

^a U S ARMY RESEARCH LABORATORY   (United States)

Author keywords

Microscale meteorology; Model Google GIS integration; Model result visualization

Indexed keywords

APPLICATION PROGRAM INTERFACES; GIS INTEGRATION; HIGH RESOLUTION IMAGE; JAVASCRIPT LANGUAGE; METEOROLOGICAL MODELING; METEOROLOGICAL MODELS; MODEL RESULTS; SMALL-SCALE VEGETATION;

DATA VISUALIZATION; INTEGRATION; VISUALIZATION;

METEOROLOGY;

DOPPLER LIDAR; GIS; MAPPING; METEOROLOGY; MODEL TEST; VISUALIZATION; WORLD WIDE WEB;

EID: 84882972502     PISSN: 00983004     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cageo.2013.07.016     Document Type: Article

References (21)

1. Chen A., Leptoukh G., Kempler S., Lynnes C., Savtchenko A., Nadeau D., Farley J. Visualization of A-train vertical profiles using Google Earth. Computers & Geosciences 2009, 35:419-427. 10.1016/j.cageo.2008.08.006.
2. Doty, B., 1995. The Grid Analysis and Display System (GrADS). http://www.iges.org/grads/gadoc/.
3. Dürst M Letters: additional reference to "marching cubes". Computer & Graphics 1988, 22(2):72-73.
4. Farr TG, et al. The shuttle radar topography mission. Reviews of Geophysics 2007, 45:RG2004. 10.1029/2005RG000183.
5. Featherstone W.E., Claessens S.J. Closed-form transformation between geodetic and ellipsoidal coordinates. Studia Geophysica et Geodaetica 2008, 52:1-18.
6. Foley J.D., van Dam A., Feiner S.K., Hughes J.F. Computer and Graphics: Principles and Practice 1990, Addison Wesley, Reading, MA. Second ed.
7. Fukushima T Transformation from Cartesian to geodetic coordinates accelerated by Halley's method. Journal of Geodesy 2006, 79:689-693.
8. Gamache, M., 2005. Free and low cost dataset for international mountain cartography. Downloadable from: . http://srtm.csi.cgiar.org/SRTMdataProcessingMethodology.asp.
9. Google Map/Earth programming API. See the references from web site . http://code.google.com/apis/Earth.
10. Hanna S., White J, Trolier J, Vernot R, Brown M., Gowardhan A., Kaplan H., Alexander Y., Moussafir J., Wang Y, Williamson C, Hannan J., Hendrick E. Comparisons of JU2003 observations with four diagnostic urban wind flow and Lagrangian particle dispersion models. Atmospheric Environment 2011, 45:4073-4081.
11. Hibbard W., Santek D. Visualizing large data sets in the earth sciences. Computer 1989, 8:53-57.
12. Huynh, G., Wang, Y., Williamson, C., 2010. Building and Vegetation Rasterization for the Three-Dimensional Wind Field (3DWF) Model. ARL-TR-5419. US Army Research Laboratory.
13. Huynh, G., Wang, Y., Williamson, C., 2012. Visualization of Wind Data on Google Earth for the Three-Dimensional Wind Field (3DWF) Model. ARL-TR-6138. US Army Research Laboratory.
14. Huynh, G., Williamson, C., Wang, Y., 2013. Isosurface Display of 3-D Scalar fields from a Meteorological Model on Google Earth. ARL-TR-6509. US Army Research Laboratory.
15. Newman T., Yi H. A Survey of the marching cubes algorithm. Computers & Graphics 2006, 30:854-879.
16. Priestnall G., Jaafar J., Duncan A. Extracting urban features from LiDAR digital surface models. Computers, Environment and Urban Systems 2000, 24(2):65-78.
17. Wang Y., Williamson C., Garvey D., Chang S., Cogan J. Application of a multigrid method to a mass consistent diagnostic wind model. Journal of Applied Meteorology 2005, 44:1078-1089.
18. Wang Y., Williamson C., Huynh G., Emmitt D., Greco S. Diagnostic wind model initialization over a complex terrain using the airborne Doppler wind lidar data. The Open Remote Sensing Journal 2010, 3:17-27.
19. Wang, Y., C. Williamson, B. MacCall, 2012. A description of the framework of the atmospheric boundary layer environment (ABLE) model. US Army Research Laboratory, ARL-TR6149.
20. Yamagishi Y., Yanaka H., Suzuki K., Tsuboi S., Isse T., Obayashi M., Tamura H., Nagao H. Visualization of geoscience data on Google Earth: development of a data coverter system for seismic tomographic models. Computers & Geosciences 2010, 373-382. 10.1016/j.cageo.2009.08.007.
21. Yu B., Liu H., Wu J., Hu Y., Zhang L. Automated derivation of urban building density information using airborne lidar data and object-based method. Landscape and Urban Planning 2010, 98:210-219.