Mostrar el registro sencillo del ítem

dc.contributor.authorMacías-Sánchez, Jorge 
dc.contributor.authorCastro-Diaz, Manuel Jesus 
dc.contributor.authorGonzalez-Vida, Jose Manuel 
dc.contributor.authorDe la Asunción, Marc
dc.contributor.authorOrtega, Sergio
dc.date.accessioned2014-05-08T11:57:30Z
dc.date.available2014-05-08T11:57:30Z
dc.date.created2014-05-08
dc.date.issued2014-04
dc.identifier.citationGeophysical Research Abstracts Vol. 16, EGU2014-14217, 2014es_ES
dc.identifier.urihttp://hdl.handle.net/10630/7489
dc.description.abstractHySEA numerical model for the simulation of earthquake generated tsunamis is presented. The initial sea surface deformation is computed using Okada model. Wave propagation is computed using nonlinear shallow water equations in spherical coordinates, where coastal inundation and run-up are suitable treated in the numerical algorithm. Generation, propagation and inundation phases are all integrated in a single code and computed coupled and synchronously when they occur at the same time. Inundation is modelled by allowing cells to dynamically change from dry to wet and reciprocally when water retreats from wetted areas. Special effort is made in preserving model well-balanced (i.e. capturing small perturbations to the steady state of the ocean at rest). The GPU model implementation allows faster than real time (FTRT) simulation for real large-scale problems. The large speed-ups obtained make HySEA code suitable for its use in Tsunami Early Warning Systems. The Italian TEWS at INGV (Rome) has adopted HySEA GPU code for its National System. The model is verified by hindcasting the wave behaviour in several benchmark problems. Numerical results for an earthquake-generated tsunami in the Mediterranean Sea is presented and computing time analysed. The interest of using higher order methods, analysing numerical schemes from first order up to order five, in the context of TEWS, is also addressed. Tsunami codes do not usually use higher than second order methods. It is demonstrated that this should idea should be revised.es_ES
dc.description.sponsorshipThis research has been partially supported by the Junta de Andalucía research project TESELA (P11-RNM7069), the Spanish Government Research project HySEA2 (MTM2009-11923) and Universidad de Málaga, Campus de Excelencia Internacional Andalucía Tech. The multi-GPU computations were performed at the Laboratory of Numerical Methods (University of Malaga).es_ES
dc.language.isoenges_ES
dc.publisherEGUes_ES
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectMaremotos - Métodos de simulaciónes_ES
dc.subject.otherTsunamises_ES
dc.subject.otherTsunami Early Warning Systemses_ES
dc.subject.otherNumerical Simulationses_ES
dc.subject.otherGPU Computinges_ES
dc.titleHySEA: An operational GPU-based model for Tsunami Early Warning Systemses_ES
dc.typeinfo:eu-repo/semantics/otheres_ES
dc.centroFacultad de Cienciases_ES
dc.relation.eventtitleEUROPEAN GEOSCIENCES GENERAL ASSEMBLY 2014es_ES
dc.relation.eventplaceVIENA, AUSTRIAes_ES
dc.relation.eventdate27/04/2014-02/05/2014es_ES


Ficheros en el ítem

Este ítem aparece en la(s) siguiente(s) colección(ones)

Mostrar el registro sencillo del ítem