Donahue
Aaron S.
Donahue
Aaron S.
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ArticleExtratropical storm inundation testbed : intermodel comparisons in Scituate, Massachusetts(John Wiley & Sons, 2013-10-07) Chen, Changsheng ; Beardsley, Robert C. ; Luettich, Richard A. ; Westerink, Joannes J. ; Wang, Harry ; Perrie, Will ; Xu, Qichun ; Donahue, Aaron S. ; Qi, Jianhua ; Lin, Huichan ; Zhao, Liuzhi ; Kerr, Patrick C. ; Meng, Yanqiu ; Toulany, BashThe Integrated Ocean Observing System Super-regional Coastal Modeling Testbed had one objective to evaluate the capabilities of three unstructured-grid fully current-wave coupled ocean models (ADCIRC/SWAN, FVCOM/SWAVE, SELFE/WWM) to simulate extratropical storm-induced inundation in the US northeast coastal region. Scituate Harbor (MA) was chosen as the extratropical storm testbed site, and model simulations were made for the 24–27 May 2005 and 17–20 April 2007 (“Patriot's Day Storm”) nor'easters. For the same unstructured mesh, meteorological forcing, and initial/boundary conditions, intermodel comparisons were made for tidal elevation, surface waves, sea surface elevation, coastal inundation, currents, and volume transport. All three models showed similar accuracy in tidal simulation and consistency in dynamic responses to storm winds in experiments conducted without and with wave-current interaction. The three models also showed that wave-current interaction could (1) change the current direction from the along-shelf direction to the onshore direction over the northern shelf, enlarging the onshore water transport and (2) intensify an anticyclonic eddy in the harbor entrance and a cyclonic eddy in the harbor interior, which could increase the water transport toward the northern peninsula and the southern end and thus enhance flooding in those areas. The testbed intermodel comparisons suggest that major differences in the performance of the three models were caused primarily by (1) the inclusion of wave-current interaction, due to the different discrete algorithms used to solve the three wave models and compute water-current interaction, (2) the criterions used for the wet-dry point treatment of the flooding/drying process simulation, and (3) bottom friction parameterizations.
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ArticleU.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.