@conference{10902/31244,
year = {2008},
url = {https://hdl.handle.net/10902/31244},
abstract = {Recent trends in climate modeling find in GRID computing a powerful way to achieve results by sharing computing and data distributed resources. In particular, ensemble prediction is based on the generation of multiple simulations from perturbed model conditions to sample the existing uncertainties. In this work, we present a GRID application consisting of a state-of-the-art climate model (CAM) [1]. The main goal of the application is providing a user-friendly platform to run ensemble-based predictions on the GRID. This requires managing a complex workflow involving long-term jobs and data management in a user-transparent way. In doing so, we identified the weaknesses of current GRID middleware tools and developed a robust workflow by merging the optimal existing applications with an underlying self-developed workflow.},
organization = {This work has been partial funded by the EELA project under the 6th Framework Program of the European Commission (contract no. 026409). J. F. is supported by the Spanish Ministry of Education and Science through the Juan de la Cierva program.},
publisher = {Springer},
publisher = {8th International Conference on Computational Science (ICCS), Kraków, Poland, 2008, 471-480},
title = {Complex workflow management of the CAM global climate model on the GRID},
author = {Fernández Quiruelas, Valvanuz and Fernández Fernández, Jesús (matemático) and Cofiño González, Antonio Santiago and Baeza, Claudio and García Torre, Fernando and San Martín, Richad Miguel and Abarca, R. and Gutiérrez Llorente, José Manuel},
}