Modelling tropical cyclone wave population of the Great Barrier Reef

Hardy, Thomas A., McConochie, Jason D., and Mason, Luciano B. (2003) Modelling tropical cyclone wave population of the Great Barrier Reef. Journal of Waterway Port Coastal and Ocean Engineering-ASCE, 129 (3). pp. 104-113.

[img] PDF (Published Version)
Restricted to Repository staff only

View at Publisher Website: http://dx.doi.org/10.1061/(ASCE)0733-950...

Abstract

Wave information is generated for the population of tropical cyclones that affects the Great Barrier Reef region. Several models are combined to create a wave database at 150,000 locations at a resolution of 1,500 m throughout this large and remote region. An autoregressive time series model, based on historical data, generated time series of position and central pressure for a very large ensemble of synthetic tropical cyclones. An empirical model was used to create the wind field throughout the wave generating area. The wind field had three components: The primary cyclone vortex, a secondary vortex used to model the low-pressure trough in which a cyclone is often embedded, and the external synoptic scale wind field created between the cyclone and the mid latitude high-pressure systems. WAMGBR, a wave generation model especially adapted for conditions in the Great Barrier Reef, was used to simulate a very large ensemble of storms on a nested grid system in transformed spherical coordinates. The results of the study are significant wave heights, peak periods, and mean directions for return periods between 20 and 1,000 years.

Item ID: 6750
Item Type: Article (Refereed Research - C1)
Keywords: coral reefs; Great Barrier Reef; numerical modelling; tropical cyclone waves; wave generation modelling
ISSN: 0733-950X
Date Deposited: 02 Mar 2010 00:54
FoR Codes: 09 ENGINEERING > 0911 Maritime Engineering > 091103 Ocean Engineering @ 100%
SEO Codes: 96 ENVIRONMENT > 9609 Land and Water Management > 960999 Land and Water Management of Environments not elsewhere classified @ 100%
Citation Count from Web of Science Web of Science 9
Downloads: Total: 4
More Statistics

Actions (Repository Staff Only)

Item Control Page Item Control Page