4.6 Article

Evaluation of parametric wind models for more accurate modeling of storm surge: a case study of Hurricane Michael

Journal

NATURAL HAZARDS
Volume 106, Issue 3, Pages 2003-2024

Publisher

SPRINGER
DOI: 10.1007/s11069-021-04525-y

Keywords

Storm surge modeling; ADCIRC; Parametric wind model; Hurricane Michael

Funding

  1. National Science Foundation [1832068]
  2. China Scholarship Council
  3. Directorate For Engineering
  4. Div Of Civil, Mechanical, & Manufact Inn [1832068] Funding Source: National Science Foundation

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A numerical modeling study was conducted to simulate storm surge during Hurricane Michael in 2018, using the ADCIRC hydrodynamic model with high-resolution mesh. Two parametric wind models, Holland 1980 and Holland 2010, were evaluated for their accuracy in predicting storm surge, with results showing errors between 1% and 3.7% for maximum water levels in Mexico Beach. The study suggests that the Holland 1980 wind model with a 64-knot wind speed radius for parameter estimation produced the lowest error of 1%.
Storm surge induced by hurricane is a major threat to the Gulf Coasts of the United States. A numerical modeling study was conducted to simulate the storm surge during Hurricane Michael, a category 5 hurricane that landed on the Florida Panhandle in 2018. A high-resolution model mesh was used in the ADCIRC hydrodynamic model to simulate storm surge and tides during the hurricane. Two parametric wind models, Holland 1980 model and Holland 2010 model, have been evaluated for their effects on the accuracy of storm surge modeling by comparing simulated and observed maximum water levels along the coast. The wind model parameters are determined by observed hurricane wind and pressure data. Results indicate that both Holland 1980 and Holland 2010 wind models produce reasonable accuracy in predicting maximum water level in Mexico Beach, with errors between 1 and 3.7%. Comparing to the observed peak water level of 4.74 m in Mexico Beach, Holland 1980 wind model with radius of 64-knot wind speed for parameter estimation results in the lowest error of 1%. For a given wind model, the wind profiles are also affected by the wind data used for parameter estimation. Away from hurricane eye wall, using radius of 64-knot wind speed for parameter estimation generally produces weaker wind than those using radius of 34-knot wind speed for parameter estimation. Comparing model simulated storm tides with 17 water marks observed along the coast, Holland 2010 wind model using radius of 34-knot wind speed for parameter estimation leads to the minimum mean absolute error. The results will provide a good reference for researchers to improve storm surge modeling. The validated model can be used to support coastal hazard mitigation planning.

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