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Optimization of integrated Earth System Model components using Grid-enabled data management and computation

Price, A.R., Xue, G., Yool, A., Lunt, D.J., Valdes, P.J., Lenton, T.M., Wason, J.L., Pound, G.E., Cox, S.J. and GENIE team, The (2007) Optimization of integrated Earth System Model components using Grid-enabled data management and computation Concurrency and Computation: Practice and Experience, 19, (2), pp. 153-165. (doi:10.1002/cpe.1046).

Record type: Article


In this paper, we present the Grid enabled data management system that has been deployed for the Grid ENabled Integrated Earth system model (GENIE) project. The database system is an augmented version of the Geodise Database Toolbox and provides a repository for scripts, binaries and output data in the GENIE framework. By exploiting the functionality available in the Geodise toolboxes we demonstrate how the database can be employed to tune parameters of coupled GENIE Earth System Model components to improve their match with observational data. A Matlab client provides a common environment for the project Virtual Organization and allows the scripting of bespoke tuning studies that can exploit multiple heterogeneous computational resources. We present the results of a number of tuning exercises performed on GENIE model components using multi-dimensional optimization methods. In particular, we find that it is possible to successfully tune models with up to 30 free parameters using Kriging and Genetic Algorithm methods.

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Submitted date: 12 January 2005
Published date: February 2007
Keywords: optimisation, grid, data management, earth system model, kriging, genetic algorithm
Organisations: Ocean and Earth Science, Engineering Sciences


Local EPrints ID: 208217
ISSN: 1532-0626
PURE UUID: 82edb720-c4e1-47a0-9369-1b7a12e05a11

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Date deposited: 17 Jan 2012 11:33
Last modified: 18 Jul 2017 10:49

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Author: A.R. Price
Author: G. Xue
Author: A. Yool
Author: D.J. Lunt
Author: P.J. Valdes
Author: T.M. Lenton
Author: J.L. Wason
Author: G.E. Pound
Author: S.J. Cox
Author: The GENIE team

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