Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/119790
Campo DC Valoridioma
dc.contributor.authorHernández García, Inésen_US
dc.contributor.authorOliver Serra, Alberten_US
dc.contributor.authorMachín Jiménez, Francisco Joséen_US
dc.date.accessioned2022-12-19T10:19:59Z-
dc.date.available2022-12-19T10:19:59Z-
dc.date.issued2022en_US
dc.identifier.isbn978-84-123222-9-3en_US
dc.identifier.urihttp://hdl.handle.net/10553/119790-
dc.description.abstractOcean dynamics show a wide range of scales and high variability, and it is fundamental for ocean models to be able to capture these interactions. The Navier Stokes equations involve the conservation of momentum, mass, and field variables such as temperature and salinity. The Shallow Water Equations (SWE) are obtained by integrating the Navies-Stokes equations in depth when the vertical scale is much smaller than the horizontal scale. (Kämpf, 2009, Foucart et al., 2018) The Finite Difference method (FD) is the most used numerical method for these problems; in this talk, we explore the Hybridisable Discontinuous Galerkin (HDG) as a viable alternative for oceanographic modelling. HDG stems from Discontinuous Galerkin (DG), a widely used method for fluid dynamic equations that allows using unstructured meshes (in comparison with FD). On top of that, HDG is naturally conservative and reduces the computational cost compared to classical DG methods, maintaining DG appealing stability and convergence properties. (Betteridge 2020, Huerta 2020). In this talk, several problems in an oceanographic context will be solved using the HDG method.en_US
dc.languageengen_US
dc.publisherInternational Center for Numerical Methods in Engineering (CIMNE)en_US
dc.sourceCongress on Numerical Methods in Engineering (CMN 2022), p. 439en_US
dc.subjectMateriasen_US
dc.titleHybridisable Discontinuous Galerkin applications for oceanographical Shallow Water Equationsen_US
dc.typeinfo:eu-repo/semantics/conferenceobjecten_US
dc.typeConferenceObjecten_US
dc.relation.conferenceCongress on Numerical Methods in Engineering (CMN 2022)en_US
dc.description.firstpage439en_US
dc.investigacionIngeniería y Arquitecturaen_US
dc.type2Actas de congresosen_US
dc.identifier.ulpgcen_US
dc.contributor.buulpgcBU-INGen_US
item.grantfulltextopen-
item.fulltextCon texto completo-
crisitem.author.deptGIR ECOAQUA: Oceanografía Física y Geofísica Aplicada-
crisitem.author.deptIU de Investigación en Acuicultura Sostenible y Ec-
crisitem.author.deptGIR SIANI: Modelización y Simulación Computacional-
crisitem.author.deptIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.deptDepartamento de Matemáticas-
crisitem.author.deptGIR ECOAQUA: Oceanografía Física y Geofísica Aplicada-
crisitem.author.deptIU de Investigación en Acuicultura Sostenible y Ec-
crisitem.author.deptDepartamento de Física-
crisitem.author.orcid0000-0002-6217-7835-
crisitem.author.orcid0000-0002-3783-8670-
crisitem.author.orcid0000-0002-4281-6804-
crisitem.author.parentorgIU de Investigación en Acuicultura Sostenible y Ec-
crisitem.author.parentorgIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.parentorgIU de Investigación en Acuicultura Sostenible y Ec-
crisitem.author.fullNameHernández García, Inés-
crisitem.author.fullNameOliver Serra, Albert-
crisitem.author.fullNameMachín Jiménez, Francisco José-
crisitem.event.eventsstartdate12-09-2022-
crisitem.event.eventsenddate14-09-2022-
Colección:Actas de congresos
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