Literature DB >> 19487199

Multi-objective optimization of GENIE Earth system models.

Andrew R Price1, Richard J Myerscough, Ivan I Voutchkov, Robert Marsh, Simon J Cox.   

Abstract

The tuning of parameters in climate models is essential to provide reliable long-term forecasts of Earth system behaviour. We apply a multi-objective optimization algorithm to the problem of parameter estimation in climate models. This optimization process involves the iterative evaluation of response surface models (RSMs), followed by the execution of multiple Earth system simulations. These computations require an infrastructure that provides high-performance computing for building and searching the RSMs and high-throughput computing for the concurrent evaluation of a large number of models. Grid computing technology is therefore essential to make this algorithm practical for members of the GENIE project.

Mesh:

Year:  2009        PMID: 19487199     DOI: 10.1098/rsta.2009.0039

Source DB:  PubMed          Journal:  Philos Trans A Math Phys Eng Sci        ISSN: 1364-503X            Impact factor:   4.226


  1 in total

1.  Considerations for parameter optimization and sensitivity in climate models.

Authors:  J David Neelin; Annalisa Bracco; Hao Luo; James C McWilliams; Joyce E Meyerson
Journal:  Proc Natl Acad Sci U S A       Date:  2010-11-29       Impact factor: 11.205

  1 in total

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