Roland Aron

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Roland
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Aron
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  • Article
    U.S. IOOS coastal and ocean modeling testbed : inter-model evaluation of tides, waves, and hurricane surge in the Gulf of Mexico
    (John Wiley & Sons, 2013-10-08) Kerr, Patrick C. ; Donahue, Aaron S. ; Westerink, Joannes J. ; Luettich, Richard A. ; Zheng, L. Y. ; Weisberg, Robert H. ; Huang, Y. ; Wang, H. V. ; Teng, Y. ; Forrest, D. R. ; Roland, Aron ; Haase, A. T. ; Kramer, A. W. ; Taylor, A. A. ; Rhome, J. R. ; Feyen, J. C. ; Signell, Richard P. ; Hanson, J. L. ; Hope, M. E. ; Estes, R. M. ; Dominguez, R. A. ; Dunbar, R. P. ; Semeraro, L. N. ; Westerink, H. J. ; Kennedy, A. B. ; Smith, J. M. ; Powell, M. D. ; Cardone, V. J. ; Cox, A. T.
    A Gulf of Mexico performance evaluation and comparison of coastal circulation and wave models was executed through harmonic analyses of tidal simulations, hindcasts of Hurricane Ike (2008) and Rita (2005), and a benchmarking study. Three unstructured coastal circulation models (ADCIRC, FVCOM, and SELFE) validated with similar skill on a new common Gulf scale mesh (ULLR) with identical frictional parameterization and forcing for the tidal validation and hurricane hindcasts. Coupled circulation and wave models, SWAN+ADCIRC and WWMII+SELFE, along with FVCOM loosely coupled with SWAN, also validated with similar skill. NOAA's official operational forecast storm surge model (SLOSH) was implemented on local and Gulf scale meshes with the same wind stress and pressure forcing used by the unstructured models for hindcasts of Ike and Rita. SLOSH's local meshes failed to capture regional processes such as Ike's forerunner and the results from the Gulf scale mesh further suggest shortcomings may be due to a combination of poor mesh resolution, missing internal physics such as tides and nonlinear advection, and SLOSH's internal frictional parameterization. In addition, these models were benchmarked to assess and compare execution speed and scalability for a prototypical operational simulation. It was apparent that a higher number of computational cores are needed for the unstructured models to meet similar operational implementation requirements to SLOSH, and that some of them could benefit from improved parallelization and faster execution speed.
  • Article
    Modeling North Atlantic nor'easters with modern wave forecast models
    (John Wiley & Sons, 2018-01-24) Perrie, Will ; Toulany, Bechara ; Roland, Aron ; Dutour-Sikiric, Mathieu ; Chen, Changsheng ; Beardsley, Robert C. ; Qi, Jianhua ; Hu, Yongcun ; Casey, Michael P. ; Shen, Hui
    Three state-of-the-art operational wave forecast model systems are implemented on fine-resolution grids for the Northwest Atlantic. These models are: (1) a composite model system consisting of SWAN implemented within WAVEWATCHIII® (the latter is hereafter, WW3) on a nested system of traditional structured grids, (2) an unstructured grid finite-volume wave model denoted “SWAVE,” using SWAN physics, and (3) an unstructured grid finite element wind wave model denoted as “WWM” (for “wind wave model”) which uses WW3 physics. Models are implemented on grid systems that include relatively large domains to capture the wave energy generated by the storms, as well as including fine-resolution nearshore regions of the southern Gulf of Maine with resolution on the scale of 25 m to simulate areas where inundation and coastal damage have occurred, due to the storms. Storm cases include three intense midlatitude cases: a spring Nor'easter storm in May 2005, the Patriot's Day storm in 2007, and the Boxing Day storm in 2010. Although these wave model systems have comparable overall properties in terms of their performance and skill, it is found that there are differences. Models that use more advanced physics, as presented in recent versions of WW3, tuned to regional characteristics, as in the Gulf of Maine and the Northwest Atlantic, can give enhanced results.