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dc.contributor.authorMartinho, Antonio S.
dc.contributor.authorBatteen, Mary L.
dc.date.accessioned2014-11-24T23:55:52Z
dc.date.available2014-11-24T23:55:52Z
dc.date.issued2006
dc.identifier.citationOcean Modeling, Volume 13, 2006, pp. 166-175
dc.identifier.urihttp://hdl.handle.net/10945/43825
dc.descriptionThe article of record as published may be found at http://dx.doi.org/10.1016/j.ocemod.2006.01.003en_US
dc.description.abstractSigma coordinate ocean models, such as the Princeton Ocean Model, are a type of terrain-following model, which are currently being used in regions with large topographic variability such as entire ocean basins, shelf breaks, continental shelves, estuaries and bays. The main concern when using a terrain-following ocean model is to reduce the pressure gradient force error (PGFE). Regardless of the method of calculation of the pressure gradient, the PGFE will not be reduced to an acceptable value without first reducing the slope parameter, defined by the absolute value of the ratio of the difference between two adjacent cell depths and their mean depth. Here two methods for reducing the slope parameter are compared: a traditional two-dimensional smoothing with Gaussian filters and an alternative one-dimensional robust direct iterative technique. While both methods efficiently smooth the bottom topography so that the pressure gradient errors are reduced to acceptable levels, the alternative method is shown to have a unique advantage of maintaining coastline irregularities, continental shelves, and relative maxima such as seamounts and islands.en_US
dc.rightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. As such, it is in the public domain, and under the provisions of Title 17, United States Code, Section 105, may not be copyrighted.en_US
dc.titleOn reducing the slope parameter in terrain-following numerical ocean modelsen_US
dc.typeArticleen_US
dc.contributor.departmentOceanography


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