Articles | Volume 14, issue 2
https://doi.org/10.5194/gmd-14-1125-2021
https://doi.org/10.5194/gmd-14-1125-2021
Development and technical paper
 | 
25 Feb 2021
Development and technical paper |  | 25 Feb 2021

Global storm tide modeling with ADCIRC v55: unstructured mesh design and performance

William J. Pringle, Damrongsak Wirasaet, Keith J. Roberts, and Joannes J. Westerink

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Cited articles

Arbic, B. K., Garner, S. T., Hallberg, R. W., and Simmons, H. L.: The accuracy of surface elevations in forward global barotropic and baroclinic tide models, Deep-Sea Res. Pt. II, 51, 3069–3101, https://doi.org/10.1016/j.dsr2.2004.09.014, 2004. a
Bouwer, L. M.: Next-generation coastal risk models, Nat. Clim. Change, 8, 7–8, https://doi.org/10.1038/s41558-018-0262-2, 2018. a
Bunya, S., Dietrich, J. C., Westerink, J. J., Ebersole, B. A., Smith, J. M., Atkinson, J. H., Jensen, R., Resio, D. T., Luettich, R. A., Dawson, C., Cardone, V. J., Cox, A. T., Powell, M. D., Westerink, H. J., and Roberts, H. J.: A High-Resolution Coupled Riverine Flow, Tide, Wind, Wind Wave, and Storm Surge Model for Southern Louisiana and Mississippi. Part I: Model Development and Validation, Mon. Weather Rev., 138, 345–377, https://doi.org/10.1175/2009MWR2906.1, 2010. a, b, c, d, e, f, g, h
Castro, M. J., Ortega, S., and Parés, C.: Reprint of: Well-balanced methods for the shallow water equations in spherical coordinates, Comput. Fluids, 169, 129–140, https://doi.org/10.1016/j.compfluid.2018.03.052, 2018. a
Chen, C., Liu, H., and Beardsley, R. C.: An unstructured grid, finite-volume, three-dimensional, primitive equations ocean model: Application to coastal ocean and estuaries, J. Atmos. Ocean. Tech., 20, 159–186, https://doi.org/10.1175/1520-0426(2003)020<0159:AUGFVT>2.0.CO;2, 2003. a
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Short summary
We improve and test a computer model that simulates tides and storm surge over all of Earth's oceans and seas. The model varies mesh resolution (triangular element sizes) freely so that coastal areas, especially storm landfall locations, are well-described. We develop systematic tests of the resolution in order to suggest good mesh design criteria that balance computational efficiency with accuracy for both global astronomical tides and coastal storm tides under extreme weather forcing.
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