Show simple item record

dc.contributor.authorOlbert, Agnieszka Indiana
dc.contributor.authorNash, Stephen
dc.contributor.authorHartnett, Michael
dc.identifier.citationOlbert AI, Nash S, Ragnoli R, Hartnett M (2013) Turbulence modelling using 3DVAR data assimilation in laboratory conditions Oceans 2013 IEEE/MTS conference An ocean in common , September 23-26, San Diego, 1-9en
dc.descriptionConference paperen_IE
dc.description.abstractThe viability of turbulence parameter estimation in a numerical model using 3DVAR data assimilation technique is explored in this research. Water currents measured in a physical model are assimilated into the numerical model DIVAST in order to improve prediction skill of the model in regions where turbulent processes are of importance. The performance of two turbulence closure schemes, the standard k-e model and the Prandtl mixing length model, is investigated. The assimilation of the model-predicted velocity and laboratory observations significantly improves model predictions for both turbulence schemes. The research further demonstrates how 3DVAR can be utilized to identify and quantify shortcomings of the numerical model and consequently to improve forecasting by correct parameterization of the turbulence models. Such improvements may greatly benefit physical oceanography in terms of understanding and monitoring of coastal systems and the engineering sector through applications in coastal structure design, marine renewable energy and pollutant transport.en_IE
dc.description.sponsorshipIRCSET / IBM Enterprise Partnership Scheme (EPSPD/2011/231)en_IE
dc.relation.ispartofOceans 2013 IEEE/MTS conference An ocean in common , September 23-26, San Diego, 1-9.en
dc.subjectTurbulence parameter estimationen_IE
dc.titleTurbulence modelling using 3DVAR data assimilation in laboratory conditionsen_IE
dc.typeConference Paperen_IE
dc.local.contactAgnieszka Indiana Olbert, Civil Engineering, Neb Room 2030, Nui Galway. 3208 Email:

Files in this item

Attribution-NonCommercial-NoDerivs 3.0 Ireland
This item is available under the Attribution-NonCommercial-NoDerivs 3.0 Ireland. No item may be reproduced for commercial purposes. Please refer to the publisher's URL where this is made available, or to notes contained in the item itself. Other terms may apply.

The following license files are associated with this item:


This item appears in the following Collection(s)

Show simple item record