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Execution management in the GRID, for sensitivity studies of global climate simulations

Revista: Earth Science Informatics
Año: 2009   Volumen: 2
Página inicial: 75   Última página: 82
Estado: Publicado
En este estado desde: 17 Dic 2008
Archivo PDF: 2009_FernandezQuiruelas_ESI.pdf
Enlace al PDF: SpringerLink
DOI: 10.1007/s12145-008-0018-z

Recent trends in climate modeling find in GRID computing, a powerful way to achieve results by sharing computing and storage resources, geographically distributed. In particular, ensemble prediction experiments are based on the generation of multiple simulations from perturbed model conditions to sample, statistically, the existing uncertainties in climate forecast. In this paper, we present a GRID application consisting of a state-of-the-art climate model. The main goal of the application is providing a user tool that can be used by a climate researcher to run ensemble-based predictions on the GRID for sensitivity studies. One of the main duties of this tool is the management a workflow involving long-term jobs and data management in a user-friendly way. In this paper we will show that due to weaknesses of current GRID middleware the managements have been show to be a complex task tools and those make necessary the development of a robust workflow adapted to the requirements of the climate application.
As an illustrative scientific challenge, the application is applied to study the El Niño phenomenon, by simulating an El Niño year with different forcing conditions and analyzing the precipitation response over south-American countries subject to flooding risk.

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