The Community for Technology Leaders
RSS Icon
Subscribe
Issue No.05 - September/October (2011 vol.13)
pp: 36-42
Dali Wang , Oak Ridge National Laboratory
Wilfred M. Post , Oak Ridge National Laboratory
Bruce E. Wilson , Oak Ridge National Laboratory
ABSTRACT
<p>High-fidelity climate models are the workhorses of modern climate change sciences. In this article, the authors focus on several computational issues associated with climate change modeling, covering simulation methodologies, temporal and spatial modeling restrictions, the role of high-end computing, as well as the importance of data-driven regional climate impact modeling.</p>
INDEX TERMS
Climate change modeling, computational sciences, high-end computing, climate impact analysis, multiscale system modeling, scientific computing
CITATION
Dali Wang, Wilfred M. Post, Bruce E. Wilson, "Climate Change Modeling: Computational Opportunities and Challenges", Computing in Science & Engineering, vol.13, no. 5, pp. 36-42, September/October 2011, doi:10.1109/MCSE.2010.147
REFERENCES
1. W.M. Washington and C.L. Parkinson, Introduction to Three-Dimensional Climate Modeling, Univ. Science Books, 2005.
2. S.D. Wullschleger and M. Strahl, "Climate Change: A Controlled Experiment," Scientific Am., Mar. 2010; www.scientificamerican.comarticle.cfm?id=climate-change-a-controlled-experiment .
3. K. Li et al., "Development of a Framework for Quantifying the Environmental Impacts of Urban Development and Construction Practices," Environmental Sciences and Technologies, vol. 41, no. 14, 2007, pp. 5130–5136.
4. G.I. Marchuk, "Some Applications of Splitting-Up Methods to the Solution of Problems in Mathematical Physics," Aplikace Matematiky, vol. 1, 1968, pp. 103–132.
5. D. Wang et al., "On Parallelization of a Spatially-Explicit Structured Ecological Model," Int'l J. High-Performance Computer Applications, vol. 20, no. 4, 2006, pp. 571–581.
6. A.R. Ganguly et al., "Higher Trends but Larger Uncertainty and Geographic Variability in 21st Century Temperature and Heat Waves," Proc. US Nat'l Academy of Sciences, vol. 106, no. 37, 2009, pp. 15555–15559.
7. P. Fox et al., "Ontology-Supported Scientific Data Frameworks: The Virtual Solar-Terrestrial Observatory Experience," Computers & Geosciences, vol. 35, no. 4, 2009, pp. 724–738.
142 ms
(Ver 2.0)

Marketing Automation Platform Marketing Automation Tool