Multiobjective tuning of GENIEfy Earth System Models
Multiobjective tuning of GENIEfy Earth System Models
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.
Price, A. R.
196a82a6-0b25-4e28-9afa-899a7319f3c4
28 June 2006
Price, A. R.
196a82a6-0b25-4e28-9afa-899a7319f3c4
Price, A. R.
(2006)
Multiobjective tuning of GENIEfy Earth System Models.
GENIE Earth System Modelling workshop, Cambridge, UK.
26 - 28 Jun 2006.
Record type:
Conference or Workshop Item
(Paper)
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.
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Published date: 28 June 2006
Venue - Dates:
GENIE Earth System Modelling workshop, Cambridge, UK, 2006-06-26 - 2006-06-28
Identifiers
Local EPrints ID: 41092
URI: http://eprints.soton.ac.uk/id/eprint/41092
PURE UUID: 3732175c-7d8f-40e8-9f86-b6118eb8ff79
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Date deposited: 19 Jul 2006
Last modified: 21 Oct 2022 16:46
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Author:
A. R. Price
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