Abstract
The attack of a severe tropical cyclone at any location is a rare event; therefore, a long data record is necessary in order to determine the characteristics of the population of storms that can affect a location. Unfortunately, reliable and complete data of tropical cyclone tracks and central pressures are not nearly long enough to define the severe end of the distributions. To mitigate this problem of the lack of data in the two Australian tropical cyclone regions a state-of-the-art modeling system has been developed and deployed in three projects, two in the Coral Sea (Hardy et al., 2003, 2004) and one in the Northwestern Australia waters. The Coral Sea studies produced a set of 3,000 years of synthetic tropical cyclones and then simulated the winds, waves, and storm tides. Three climate change scenarios were also modeled. The Northwestern study was much more ambitious, modeling 100,000 years of tropical cyclones to obtain robust measures of the 100-10,000 year return periods of wind and wave conditions. The modeling system required development and/or adaptation of a series of models: (a) synthetic tropical cyclone model, (b) parametric wind field model, (c) wave model, and (d) storm surge and current model. This modeling technique could be applied to any tropical cyclone region to provide input to wind, wave, storm surge, erosion, rainfall, and flood routing models.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Bister M, Emanuel KA (2003) Hurricane climatological potential intensity maps and tables. Program in Atmospheres Oceans and Climate, Massachusetts Institute of Technology. http://wind.mit.edu/∼emanuel/pcmin/climo.html
Emanuel KA (1988) The maximum intensity of hurricanes. J Atmos Sci 45:1143-1155
Hardy TA, McConochie JD, Mason LB (2003) Modeling tropical cyclone wave population of the Great Barrier Reef. J Waterway, Port, Coastal and Ocean Eng, ASCE 129:104-113
Hardy TA, Mason LB, Astorquia A, Harper BA (2004) Tropical cyclone-induced water levels and waves: Hervey Bay and Sunshine Coast. Queensland climate change and community vulnerability to tropical cyclones: Ocean Hazards Assessment Stage 2. http://www.longpaddock.qld.gov.au/ClimateChanges/pub/OceanHazardsMenu.html
James MK, Mason LB (2005) Synthetic tropical cyclone database. J Waterway, Port, Coastal and Ocean Eng, ASCE 131:181-192
Scheffner NW, Borgman LE, Mark DJ (1996) Empirical simulation technique based storm surge frequency analyses. J Waterway, Port, Coastal and Ocean Eng, ASCE 122:93-101
Vickery PJ, Skerlj PF, Twisdale LA (2000) Simulation of hurricane risk in the US using empirical track model. J Struct Eng, ASCE 126:1222-1237
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer Science+Business Media B.V.
About this chapter
Cite this chapter
Hardy, T.A., Mason, L.B., McConochie, J.D. (2010). Generating Synthetic Tropical Cyclone Databases for Input to Modeling of Extreme Winds, Waves, and Storm Surges. In: Charabi, Y. (eds) Indian Ocean Tropical Cyclones and Climate Change. Springer, Dordrecht. https://doi.org/10.1007/978-90-481-3109-9_9
Download citation
DOI: https://doi.org/10.1007/978-90-481-3109-9_9
Published:
Publisher Name: Springer, Dordrecht
Print ISBN: 978-90-481-3108-2
Online ISBN: 978-90-481-3109-9
eBook Packages: Earth and Environmental ScienceEarth and Environmental Science (R0)