4.6 Article

Numerical simulations of ocean surface waves under hurricane conditions: Assessment of existing model performance

Journal

OCEAN MODELLING
Volume 118, Issue -, Pages 73-93

Publisher

ELSEVIER SCI LTD
DOI: 10.1016/j.ocemod.2017.08.005

Keywords

Spectral wave modelling; WAVEWATCH III; The University of Miami Wave Model; Drag coefficient; Negative wind input; Four-wave nonlinear interaction

Funding

  1. China Scholarship Council (CSC) [201406330003]
  2. DISI Australia-China Centre [ACSRF48199]
  3. Australian Research Council Discovery [DP170100851]
  4. U.S. Office of Naval Research [N00014-13-1-0278]
  5. Ministry of Science and Technology of China [2016YFC140140005]

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Using the well-observed hurricane case Ivan (2004) as an example, we investigate and intercompare the performance of two wave models under hurricane conditions. One is the WAVEWATCH III model (WW3) and the other is the University of Miami Wave Model (UMWM). Within WW3, four different source term packages (ST2/3/4/6) of wind input, wave breaking dissipation and swell decay are chosen for comparison purposes. Based on the comparisons between model results and measurements from various platforms, we concluded that UMWM shows less accuracy than WW3 in specification of bulk wave parameters. This is possibly because (i) UMWM-estimated drag coefficient does not clearly show a saturation trend when wind speeds are beyond similar to 35 m s(-1) and (ii) the four-wave interaction term of UMWM disagrees evidently with the full solution of the Boltzmann integral in detail. Among the four WW3 source term packages, the older parameterization ST2 is basically the least accurate because of its systematic underestimation of high waves. The remaining three packages (ST3/4/6) are performed well under Ivan. However, we also find that they tend to overestimate energy of waves traveling in the oblique and opposing winds. It is shown that enhancing the strength of negative wind input properly can effectively improve model skills in such situations. Limited by the uncertainty in the wind forcing, we could not determine the most accurate package among ST3/4/6 unambiguously. (C) 2017 Elsevier Ltd. All rights reserved.

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