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

Optimization of integrated Earth System Model components using Grid-enabled data management and computation
Optimization of integrated Earth System Model components using Grid-enabled data management and computation
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.
optimisation, grid, data management, earth system model, kriging, genetic algorithm
1532-0626
153-165
Price, A.R.
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Xue, G.
7e66b90b-0958-4f19-b4a6-2f07a87fbfab
Yool, A.
882aeb0d-dda0-405e-844c-65b68cce5017
Lunt, D.J.
5bfca8db-49a7-45dd-9855-43606a58788b
Valdes, P.J.
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Lenton, T.M.
f2b4fe3d-ef5e-4c85-9677-bfc20c266b65
Wason, J.L.
8713cc46-aa6d-4885-bb09-db221f6647b7
Pound, G.E.
04a90e67-652b-4435-8b4b-ac70afb67ca5
Cox, S.J.
0e62aaed-24ad-4a74-b996-f606e40e5c55
GENIE team, The
e3cbbf33-20a0-4472-946f-c8111a86fa68
Price, A.R.
15a6667c-60da-42e9-b6dd-4c0e56c33c52
Xue, G.
7e66b90b-0958-4f19-b4a6-2f07a87fbfab
Yool, A.
882aeb0d-dda0-405e-844c-65b68cce5017
Lunt, D.J.
5bfca8db-49a7-45dd-9855-43606a58788b
Valdes, P.J.
7b271d19-a4cb-4fc3-af4e-6745239c01d8
Lenton, T.M.
f2b4fe3d-ef5e-4c85-9677-bfc20c266b65
Wason, J.L.
8713cc46-aa6d-4885-bb09-db221f6647b7
Pound, G.E.
04a90e67-652b-4435-8b4b-ac70afb67ca5
Cox, S.J.
0e62aaed-24ad-4a74-b996-f606e40e5c55
GENIE team, The
e3cbbf33-20a0-4472-946f-c8111a86fa68

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), 153-165. (doi:10.1002/cpe.1046).

Record type: Article

Abstract

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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More information

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

Identifiers

Local EPrints ID: 208217
URI: http://eprints.soton.ac.uk/id/eprint/208217
ISSN: 1532-0626
PURE UUID: 82edb720-c4e1-47a0-9369-1b7a12e05a11

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Date deposited: 17 Jan 2012 11:33
Last modified: 25 Nov 2019 21:12

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