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dc.contributor.authorNordam, Tor
dc.contributor.authorKristiansen, Ruben
dc.contributor.authorNepstad, Raymond
dc.contributor.authorvan Sebille, Erik
dc.contributor.authorBooth, Andy
dc.date.accessioned2023-11-15T14:19:08Z
dc.date.available2023-11-15T14:19:08Z
dc.date.created2023-10-02T21:51:46Z
dc.date.issued2023
dc.identifier.citationGeoscientific Model Development Discussions. 2023, 16 (18), 5339-5363.en_US
dc.identifier.issn1991-9611
dc.identifier.urihttps://hdl.handle.net/11250/3102772
dc.description.abstractA common task in oceanography is to model the vertical movement of particles such as microplastics, nanoparticles, mineral particles, gas bubbles, oil droplets, fish eggs, plankton, or algae. In some cases, the distribution of the vertical rise or settling velocities of the particles in question can span a wide range, covering several orders of magnitude, often due to a broad particle size distribution or differences in density. This requires numerical methods that are able to adequately resolve a wide and possibly multi-modal velocity distribution. Lagrangian particle methods are commonly used for these applications. A strength of such methods is that each particle can have its own rise or settling speed, which makes it easy to achieve a good representation of a continuous distribution of speeds. An alternative approach is to use Eulerian methods, where the partial differential equations describing the transport problem are solved directly with numerical methods. In Eulerian methods, different rise or settling speeds must be represented as discrete classes, and in practice, only a limited number of classes can be included. Here, we consider three different examples of applications for a water column model: positively buoyant fish eggs, a mixture of positively and negatively buoyant microplastics, and positively buoyant oil droplets being entrained by waves. For each of the three cases, we formulate a model for the vertical transport based on the advection–diffusion equation with suitable boundary conditions and, in one case, a reaction term. We give a detailed description of an Eulerian and a Lagrangian implementation of these models, and we demonstrate that they give equivalent results for selected example cases. We also pay special attention to the convergence of the model results with an increasing number of classes in the Eulerian scheme and with the number of particles in the Lagrangian scheme. For the Lagrangian scheme, we see the convergence, as expected for a Monte Carlo method, while for the Eulerian implementation, we see a second-order () convergence with the number of classes.en_US
dc.description.abstractA comparison of Eulerian and Lagrangian methods for vertical particle transport in the water columnen_US
dc.language.isoengen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleA comparison of Eulerian and Lagrangian methods for vertical particle transport in the water columnen_US
dc.title.alternativeA comparison of Eulerian and Lagrangian methods for vertical particle transport in the water columnen_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.source.pagenumber5339-5363en_US
dc.source.volume16en_US
dc.source.journalGeoscientific Model Development Discussionsen_US
dc.source.issue18en_US
dc.identifier.doi10.5194/gmd-16-5339-2023
dc.identifier.cristin2181130
dc.relation.projectEC/H2020/715386en_US
dc.relation.projectEC/H2020/814426en_US
dc.relation.projectNorges forskningsråd: 267793en_US
cristin.ispublishedfalse
cristin.fulltextoriginal


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