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Benefits and requirements of grid computing for climate applications. An example with the community atmospheric model

Abstract: Grid computing is nowadays an established technology in fields such as High Energy Physics and Biomedicine, offering an alternative to traditional HPC for several problems; however, it is still an emerging discipline for the climate community and only a few climate applications have been adapted to the Grid to solve particular problems. In this paper we present an up-to-date description of the advantages and limitations of the Grid for climate applications (in particular global circulation models), analyzing the requirements and the new challenges posed to the Grid. In particular, we focus on production-like problems such as sensitivity analysis or ensemble prediction, where a single model is run several times with different parameters, forcing and/or initial conditions. As an illustrative example, we consider the Community Atmospheric Model (CAM) and analyze the advantages and shortcomings of the Grid to perform a sensitivity study of precipitation with SST perturbations in El Niño area, reporting the results obtained with traditional (local cluster) and Grid infrastructures. We conclude that new specific middleware (execution workflow managers) is needed to meet the particular requirements of climate applications (long simulations, checkpointing, etc.). This requires the side-by-side collaboration of IT and climate groups to deploy fully ported applications, such as the CAM for Grid (CAM4G) introduced in this paper.

Otras publicaciones de la misma revista o congreso con autores/as de la Universidad de Cantabria

 Autoría: Fernández-Quiruelas V., Fernández J., Cofiño A.S., Fita L., Gutiérrez J.M.,

 Fuente: Environmental Modelling and Software 2011, 26(9), 1057-1069

Editorial: Elsevier Ltd

 Fecha de publicación: 01/09/2011

Nº de páginas: 13

Tipo de publicación: Artículo de Revista

 DOI: 10.1016/j.envsoft.2011.03.006

ISSN: 1364-8152,1873-6726

 Proyecto español: CGL2010-22158-C02-01

 Proyecto europeo: info:eu-repo/grantAgreement/EC/FP7/223797/EU/E-Science Grid Facility for Europe and Latin America/EELA2/

Url de la publicación: https://doi.org/10.1016/j.envsoft.2011.03.006