Key Technologies in the Construction of a GIS System for Weather Data

Abstract:

Weather services closely linked with the geographic data. To some extent, weather data are geographic information. Because the wind speed, temperature, pressure, etc. are all relative to the specific space domain and time domain. Weather data is very ambitious. The climate observatory needs to be updated daily hundreds of weather data, together with accumulated decades of climate history data. The data amount is very large. With the development of science and technology, weather data are growing very quickly. As for these characteristics, the weather services have a wide range of applications of the GIS system. A good weather information query system allows forecasters the most intuitive and rapid control of various weather information. It plays an important role in decision making.

• Periodical: Advanced Materials Research (Volumes 532-533)
• Pages: 1268-1271
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.532-533.1268
• Online since: June 2012
• Authors: Da Qing Li, De Wen Seng
• Keywords: GIS, Visualization, Weather Data

References

[1] D. W. Seng, Z. X. Li, C. M. Li, Application of marching cubes algorithm in visualization of mineral deposits, Journal of University of Science and Technology Beijing, March 2005, pp.203-207.

[2] C.F. Lucilla, Visualization of 3D information with digital holography using laser printers, Computers & Graphics, June 2001, pp.309-321.

DOI: 10.1016/s0097-8493(00)00133-3

[3] Patterson W. Intergrating ArcView and the Spatial Analyst Extension with the PRISM Climate Expert System，ESRI 1997 International Users Conferenee, EnviromnentalSystemsResearehInstitute，SanDiego，CA，(1997).

[4] Elangovan, K. GIS: Fundamentals, Applications and Implementations", New India Publishing Agency, New Delhi, June 2006, pp.208-224.

[5] D. W. Seng, Z. X. Li, C. M. Li, Volume rendering techniques for visualization of mineral deposits, Journal of Liaoning Technical University, April 2005, pp.473-476.

[6] Heywood, I., Cornelius, S., and Carver, S. An Introduction to Geographical Information Systems. Prentice Hall. 3rd edition. March 2006, pp.89-102.

[7] Chang, K. Introduction to Geographic Information System, 4th Edition. McGraw Hill, 2007, pp.20-32.

[8] Harvey, Francis. A Primer of GIS, Fundamental geographic and cartographic concepts. The Guilford Press, May 2008, pp.31-37.

[9] Burrough, P.A., McDonnell, R.A. Principles of geographical information systems. Oxford University Press, Oxford, May 1998, pp.327-332.

[10] Wilhelmio，BoehnertJ. GIS Initiative: Developing an atmospherie data model for GIS. Unidata Seminar，August 30，(2004).

[11] Welf JM vander. Introducing GIS Technology at the Royal Netherlands Meteorological Institute. ESRI 1997 International Users Conference. Environmental Systems Research Institute，SanDiego，CA，(1997).

[12] D.W. Seng, X. Liang, Visualization of large scale geographically related data in virtual 3D scenes with OpenGL, In Wang C., Zhong S. & Wei J. (ed), Second international conference on space information technology; Proceedings of SPIE Bellingham, WA: SPIE, November 2007, pp.1027-1033.

DOI: 10.1117/12.773973

[13] J. Dollner, K. Hinrichs, An object-oriented approach for integrating 3D visualization systems and GIS, Computers & Geosciences, June 2000, pp.67-76.

DOI: 10.1016/s0098-3004(99)00038-2

[14] Bolstad, P. GIS Fundamentals: A first text on Geographic Information Systems, Second Edition. White Bear Lake, MN: Eider Press, May, 2005, pp.543-560.

[15] D. Seng, Z. Song, 3D interactive visualization system for cojmplex geologically related data. First international conference on intelligent networks and intelligent systems, Nov. 2008, pp.519-522.

DOI: 10.1109/icinis.2008.151

[16] ShipleyST，Graffman1 A. ArcView GIS is a Weather Proeessing System. ESRI International User Conference，Enviromnenta1 Svstems Resource Institute. San Diego，California，(1998).