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

Open Access.

Detalles Bibliográficos
Autores: Fernández-Quiruelas, V., Fernández, J., Baeza, C., Cofiño, Antonio S., Gutiérrez, José M.
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2009
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/94075
Acceso en línea:http://hdl.handle.net/10261/94075
Access Level:acceso abierto
Palabra clave:Workflow management
Climate models
CAM model
GRID computing
El Niño phenomenon
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spelling Execution management in the GRID, for sensitivity studies of global climate simulationsFernández-Quiruelas, V.Fernández, J.Baeza, C.Cofiño, Antonio S.Gutiérrez, José M.Workflow managementClimate modelsCAM modelGRID computingEl Niño phenomenonOpen Access.Recent trends in climate modeling find in GRID computing a powerful way to achieve results by sharing geographically distributed computing and storage resources. In particular, ensemble prediction experiments are based on the generation of multiple model simulations to explore, statistically, the existing uncertainties in weather and 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 to provide a 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 of a workflow involving long-term jobs and data management in a user-friendly way. In this paper we show that, due to weaknesses of current GRID middleware, this management is complex task. Those weaknesses made 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. © Springer-Verlag 2009.This work has been partially funded by the EELA project under the 6th Framework Program of the European Commission (contract no. 026409) and the Spanish Ministry of Education and Science through the Juan de la Cierva program.Peer ReviewedSpringer Nature2014201420092014info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Publisher's versioninfo:eu-repo/semantics/publishedVersionhttp://hdl.handle.net/10261/94075reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Ingléshttp://dx.doi.org/10.1007/s12145-008-0018-zinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/940752026-05-22T06:33:51Z
dc.title.none.fl_str_mv Execution management in the GRID, for sensitivity studies of global climate simulations
title Execution management in the GRID, for sensitivity studies of global climate simulations
spellingShingle Execution management in the GRID, for sensitivity studies of global climate simulations
Fernández-Quiruelas, V.
Workflow management
Climate models
CAM model
GRID computing
El Niño phenomenon
title_short Execution management in the GRID, for sensitivity studies of global climate simulations
title_full Execution management in the GRID, for sensitivity studies of global climate simulations
title_fullStr Execution management in the GRID, for sensitivity studies of global climate simulations
title_full_unstemmed Execution management in the GRID, for sensitivity studies of global climate simulations
title_sort Execution management in the GRID, for sensitivity studies of global climate simulations
dc.creator.none.fl_str_mv Fernández-Quiruelas, V.
Fernández, J.
Baeza, C.
Cofiño, Antonio S.
Gutiérrez, José M.
author Fernández-Quiruelas, V.
author_facet Fernández-Quiruelas, V.
Fernández, J.
Baeza, C.
Cofiño, Antonio S.
Gutiérrez, José M.
author_role author
author2 Fernández, J.
Baeza, C.
Cofiño, Antonio S.
Gutiérrez, José M.
author2_role author
author
author
author
dc.subject.none.fl_str_mv Workflow management
Climate models
CAM model
GRID computing
El Niño phenomenon
topic Workflow management
Climate models
CAM model
GRID computing
El Niño phenomenon
description Open Access.
publishDate 2009
dc.date.none.fl_str_mv 2009
2014
2014
2014
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
Publisher's version
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/94075
url http://hdl.handle.net/10261/94075
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv http://dx.doi.org/10.1007/s12145-008-0018-z
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Springer Nature
publisher.none.fl_str_mv Springer Nature
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
reponame_str DIGITAL.CSIC. Repositorio Institucional del CSIC
collection DIGITAL.CSIC. Repositorio Institucional del CSIC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,811543

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