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The AAPG/Datapages Combined Publications Database

GCAGS Transactions


Gulf Coast Association of Geological Societies Transactions
Vol. 56 (2006), Pages 323-327

Forecast of Nearshore Previous HitWaveNext Hit Parameters Using MIKE-21 Spectral Previous HitWaveNext Hit Model

Felix Jose, Gregory W. Stone


Shallow-water Previous HitwaveNext Hit transformation strongly depends upon coastal geomorphology and bottom sediment characteristics. Accurate prediction of Previous HitwaveNext Hit parameters is vital for the coastal infrastructure developments and other activities. MIKE 21 SW is a new generation spectral wind Previous HitwaveNext Hit model based on unstructured meshes. The model simulates the growth, decay and transformation of wind generated waves and swell in offshore and coastal areas. The entire Gulf of Mexico was selected for the present modeling study. Along the northern Gulf Coast the grid resolution used was ~2 km while for the rest of the boundary a coarser grid of 30 km was used. Fine-scale bathymetry data (6 arc-second resolution) were used for the northern Gulf and coarse bathymetry for the rest of the basin. The data used were compiled and distributed by the National Geophysical Data Center (NGDC) of the National Oceanic and Atmospheric Administration (NOAA). The input for the model, forecast wind data, was downloaded from the National Centers for Environmental Prediction (NCEP) of NOAA database daily (36-hr forecast). A fully spectral approach was used for the computation of the Previous HitwaveNext Hit parameters.

The model computed the Previous HitwaveNext Hit parameters using the forecast wind input. Synoptic maps of significant Previous HitwaveNext Hit height (Hs), Previous HitwaveNext Hit period, Previous HitwaveNext Hit direction, etc. were generated. For calibration purposes, output was also generated for the NDBC buoy locations and Previous HitWaveNext Hit-Current-Surge Information System (WAVCIS) stations located off the Louisiana coast. During fair weather conditions the predicted Previous HitwaveNext Hit parameters show a strong correlation with measured Previous HitwaveTop parameters. During extreme weather conditions (hurricanes and tropical storms) predicted values typically were lower than observations. This discrepancy can be attributed to the scale and accuracy of the input wind data.

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