Multi-objective optimization of GENIE earth system models
Price, Andrew R., Myerscough, Richard J., Voutchkov, Ivan I., Marsh, Robert and Cox, Simon J. (2009) Multi-objective optimization of GENIE earth system models. Philosophical Transactions of the Royal Society A, 367, (1898), 2623-2633. (doi:10.1098/rsta.2009.0039).
PDF (The published article is available at http://rsta.royalsocietypublishing.org/content/367/1898/2623.abstract)
- Accepted Manuscript
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.
|Keywords:||Multi-Objective Optimization, High Performance Computing, High Throughput Computing, Grid Computing|
|Subjects:||Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Q Science > QC Physics
|Divisions:||University Structure - Pre August 2011 > School of Ocean & Earth Science (SOC/SOES)
University Structure - Pre August 2011 > School of Engineering Sciences > Computational Engineering and Design
|Date Deposited:||02 Feb 2009|
|Last Modified:||06 Aug 2015 02:52|
|RDF:||RDF+N-Triples, RDF+N3, RDF+XML, Browse.|
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