Coastal ocean forecasting on the GPU using a two-dimensional finite-volume scheme

In 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 domai...

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Autores principales:	André R. Brodtkorb, HÅvard Heitlo Holm
Formato:	article
Lenguaje:	EN
Publicado:	Taylor & Francis Group 2021
Materias:	shallow-water equations oceanography gpu computing realistic use cases high-resolution finite-volume methods Oceanography GC1-1581 Meteorology. Climatology QC851-999
Acceso en línea:	https://doaj.org/article/8156b81f4d7c4c9eb5cda8849f29d5db
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spelling	oai:doaj.org-article:8156b81f4d7c4c9eb5cda8849f29d5db2021-12-01T14:40:58ZCoastal ocean forecasting on the GPU using a two-dimensional finite-volume scheme1600-087010.1080/16000870.2021.1876341https://doaj.org/article/8156b81f4d7c4c9eb5cda8849f29d5db2021-01-01T00:00:00Zhttp://dx.doi.org/10.1080/16000870.2021.1876341https://doaj.org/toc/1600-0870In 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.André R. BrodtkorbHÅvard Heitlo HolmTaylor & Francis Grouparticleshallow-water equationsoceanographygpu computingrealistic use caseshigh-resolution finite-volume methodsOceanographyGC1-1581Meteorology. ClimatologyQC851-999ENTellus: Series A, Dynamic Meteorology and Oceanography, Vol 73, Iss 1, Pp 1-22 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	shallow-water equations oceanography gpu computing realistic use cases high-resolution finite-volume methods Oceanography GC1-1581 Meteorology. Climatology QC851-999
spellingShingle	shallow-water equations oceanography gpu computing realistic use cases high-resolution finite-volume methods Oceanography GC1-1581 Meteorology. Climatology QC851-999 André R. Brodtkorb HÅvard Heitlo Holm Coastal ocean forecasting on the GPU using a two-dimensional finite-volume scheme
description	In 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.
format	article
author	André R. Brodtkorb HÅvard Heitlo Holm
author_facet	André R. Brodtkorb HÅvard Heitlo Holm
author_sort	André R. Brodtkorb
title	Coastal ocean forecasting on the GPU using a two-dimensional finite-volume scheme
title_short	Coastal ocean forecasting on the GPU using a two-dimensional finite-volume scheme
title_full	Coastal ocean forecasting on the GPU using a two-dimensional finite-volume scheme
title_fullStr	Coastal ocean forecasting on the GPU using a two-dimensional finite-volume scheme
title_full_unstemmed	Coastal ocean forecasting on the GPU using a two-dimensional finite-volume scheme
title_sort	coastal ocean forecasting on the gpu using a two-dimensional finite-volume scheme
publisher	Taylor & Francis Group
publishDate	2021
url	https://doaj.org/article/8156b81f4d7c4c9eb5cda8849f29d5db
work_keys_str_mv	AT andrerbrodtkorb coastaloceanforecastingonthegpuusingatwodimensionalfinitevolumescheme AT havardheitloholm coastaloceanforecastingonthegpuusingatwodimensionalfinitevolumescheme
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Coastal ocean forecasting on the GPU using a two-dimensional finite-volume scheme

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