Extreme Hurricane-Generated Waves in Gulf of Mexico

Abstract

Accurate predictions and understanding of littoral and coastal wave conditions are of major importance to military operations and civilian coastal zone management. Although WaveWatchIII (WW3) is used by many operational forecasting centers around the world, there is a lack of field studies to evaluate its accuracy in regional applications and under extreme conditions, such as Hurricanes. Data from seven National Data Buoy Center (NDBC) buoys in the Gulf of Mexico, together with an array of pressure and pressure-velocity sensors deployed on the Florida Panhandle shelf during the Office of Naval Research (ONR) SAX04 experiment, were used to test WW3 predictions of extreme waves generated by Hurricane Ivan. The model predicts large differences between wave conditions on the left and right sides of the hurricane track owing to the difference in "dwell time" between wave propagating against and with the storm. Analysis reveals a tendency to predict smaller wave heights and later arrival of hurricane swell than is observed. Additionally, the default operational setting for dissipation by bottom friction yields too much dissipation on the continental shelf. Overall, the agreement between observations and model predictions is reasonable.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 2005
Accession Number
ADA443301

Entities

People

  • Carlos Alberto
  • Santos Fernandes

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Energy and Power Technologies
  • Sensors
  • Space

DTIC Thesaurus Topics

  • Accuracy
  • Acoustics
  • Altimeters
  • Artificial Satellites
  • Boundary Layer
  • Continental Shelves
  • Cyclones
  • Dwell Time
  • Grids
  • Hurricanes
  • Measurement
  • Measuring Instruments
  • Meteorological Satellites
  • Oceans
  • Storm Surges
  • Storms
  • Tropical Cyclones

Fields of Study

  • Environmental science

Readers

  • Atmospheric Science/Meteorology
  • Coastal Oceanography
  • Computational Modeling and Simulation