4.6 Article

Consistency in hurricane surface wind forecasting: an improved parametric model

Journal

NATURAL HAZARDS
Volume 61, Issue 3, Pages 1029-1050

Publisher

SPRINGER
DOI: 10.1007/s11069-011-9960-z

Keywords

Hurricane surface winds; Parametric model; Asymmetry; Storm surge; Wind waves

Funding

  1. U.S. National Science Foundation (NSF) [0652859]
  2. NSF [1010640]
  3. U.S. National Oceanic and Atmospheric Administration (NOAA) through the Northern Gulf Institute [09-NGI-08]
  4. National Natural Science Foundation of China (NSFC) [40806033]
  5. Div Of Chem, Bioeng, Env, & Transp Sys
  6. Directorate For Engineering [0652859] Funding Source: National Science Foundation
  7. EPSCoR
  8. Office Of The Director [1010640] Funding Source: National Science Foundation

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A parametric hurricane wind model has been developed based on the asymmetric Holland-type vortex model. The model creates a two-dimensional surface wind field based on the National Hurricane Center forecast (or observed) hurricane wind and track data. Three improvements have been made to retain consistency between the input parameters and the model output and to better resolve the asymmetric structure of the hurricane. First, in determination of the shape parameter B, the Coriolis effect is included and the range restriction is removed. It is found that ignoring the Coriolis effect can lead to an error greater than 20% in the maximum wind speed for weak but large tropical cyclones. Second, the effect of the translational velocity of a hurricane is excluded from the input of specified wind speeds before applying the Holland-type vortex to avoid exaggeration of the wind asymmetry. The translational velocity is added back in at the very end of the procedure. Third, a new method has been introduced to develop a weighted composite wind field that makes full use of all wind parameters, not just the largest available specified wind speed and its 4 similar to quadrant radii. An idealized hurricane and two historical Gulf of Mexico hurricanes have been used to test the model. It is found that the modified parametric model leads to better agreement with field observation compared with the results from the unmodified model. This will result in better predictions of hurricane waves and storm surges.

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