Climate Change Modeling: Computational Opportunities and Challenges

被引：8
|
作者：
Wang, Dali [1 ]
Post, Wilfred M. [1 ]
Wilson, Bruce E. [2 ]
机构：
[1] Oak Ridge Natl Lab, Div Environm Sci, Oak Ridge, TN USA
[2] Oak Ridge Natl Lab, Client & Collaborat Technol Grp, Oak Ridge, TN USA
来源：
COMPUTING IN SCIENCE & ENGINEERING | 2011年 / 13卷 / 05期
关键词：
Climate change modeling; climate impact analysis; computational sciences; high-end computing; multiscale system modeling; scientific computing;
D O I：
10.1109/MCSE.2010.147
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
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. © 2006 IEEE.
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页码：36 / 42
页数：7
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