Climate Change Modeling: Computational Opportunities and Challenges

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...

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Bibliographic Details
Published in:Computing in science & engineering 2011-09, Vol.13 (5), p.36-42
Main Authors: Wang, Dali, Post, Wilfred, Wilson, Bruce
Format: Article
Language:English
Subjects:
Atmospheric measurements
Climate change
Climate change modeling
climate impact analysis
Computational modeling
computational sciences
high-end computing
Meteorology
Modeling
multiscale system modeling
scientific computing
System analysis and design
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Summary: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.
ISSN:1521-9615
1558-366X
DOI:10.1109/MCSE.2010.147