Climate change modeling: Computational opportunities and challenges

Dali Wang, Wilfred M. Post, Bruce E. Wilson

Research output: Contribution to journalArticlepeer-review

9 Scopus citations

Abstract

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.

Original languageEnglish
Article number5654480
Pages (from-to)36-42
Number of pages7
JournalComputing in Science and Engineering
Volume13
Issue number5
DOIs
StatePublished - Sep 2011

Funding

Portions of this work were funded by the US Department of Energy’s Office of Science and NASA’s Science Mission Directorate.

Keywords

  • Climate change modeling
  • climate impact analysis
  • computational sciences
  • high-end computing
  • multiscale system modeling
  • scientific computing

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