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Climate Change Modeling: Computational Opportunities and Challenges
September/October 2011 (vol. 13 no. 5)
pp. 36-42
Dali Wang, Oak Ridge National Laboratory
Wilfred M. Post, Oak Ridge National Laboratory
Bruce E. Wilson, Oak Ridge National Laboratory

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.

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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 and Engineering, vol. 13, no. 5, pp. 36-42, Sept.-Oct. 2011, doi:10.1109/MCSE.2010.147
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