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dc.contributor.authorBrodtkorb, André R.
dc.contributor.authorHolm, Håvard Heitlo
dc.coverage.spatialNorwayen_US
dc.date.accessioned2022-01-28T08:58:17Z
dc.date.available2022-01-28T08:58:17Z
dc.date.created2021-06-09T22:36:42Z
dc.date.issued2021-05-17
dc.identifier.citationTellus. Series A, Dynamic meteorology and oceanography. 2021, 73 (1), 1-23.en_US
dc.identifier.issn0280-6495
dc.identifier.issn1600-0870
dc.identifier.urihttps://hdl.handle.net/11250/2929558
dc.description.abstractIn this work, we take a modern high-resolution finite-volume scheme for solving the rotational shallow-water equations and extend it with features required to run real-world ocean simulations. Our contributions include a spatially varying north vector and Coriolis term required for large scale domains, moving wet-dry fronts, a static land mask, bottom shear stress, wind forcing, boundary conditions for nesting in a global model, and an efficient model reformulation that makes it well-suited for massively parallel implementations. Our model order is verified using a grid convergence test, and we show numerical experiments using three different sections along the coast of Norway based on data originating from operational forecasts run at the Norwegian Meteorological Institute. Our simulation framework shows perfect weak scaling on a modern P100 GPU, and is capable of providing tidal wave forecasts that are very close to the operational model at a fraction of the cost. All source code and data used in this work are publicly available under open licenses.en_US
dc.description.sponsorshipThis research has mainly been funded by the Research Council of Norway under grant number 250935 (GPU Ocean), and partly by grant number 310515 (Havvarsel). The GPU Ocean project has received support in form of compute time on UNINETT Sigma2 - the National Infrastructure for High Performance Computing and Data Storage in Norway under project number nn9550k.en_US
dc.language.isoengen_US
dc.publisherRoutledgeen_US
dc.relation.ispartofseriesTellus. Series A, Dynamic meteorology and oceanography;Volume 73, 2021 - Issue 1
dc.rightsNavngivelse-Ikkekommersiell 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/deed.no*
dc.subjectShallow-water equationsen_US
dc.subjectOceanographyen_US
dc.subjectGPU computingen_US
dc.subjectRealistic use casesen_US
dc.subjectHigh-resolution finite-volume methodsen_US
dc.titleCoastal ocean forecasting on the GPU using a two-dimensional finite-volume schemeen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.rights.holder© 2021 The Author(s)en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1
dc.identifier.doihttps://doi.org/10.1080/16000870.2021.1876341
dc.identifier.cristin1914954
dc.source.journalTellus. Series A, Dynamic meteorology and oceanographyen_US
dc.source.volume73en_US
dc.source.issue1en_US
dc.source.pagenumber1-23en_US
dc.relation.projectNorges forskningsråd: 310515en_US
dc.relation.projectNorges forskningsråd: 250935en_US


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Navngivelse-Ikkekommersiell 4.0 Internasjonal
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