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Complex workflow management of the CAM global climate model on the GRID

Journal: Lecture Notes in Computer Science
Year: 2008   Volume: 5103
Initial page: 471   Last page: 480
Status: Published
In this status since: 25 Jun 2008
PDF file: 2008_fernandezq_ICCS.pdf
Link to PDF: Acceso en SpringerLink
DOI: 10.1007/978-3-540-69389-5_54
Authors:
, , , Baeza, C., , San-Martín, R.M., Abarca, R.,

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). 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.