Statistical modelling of North Atlantic tropical cyclone tracks

Tellus, Series A: Dynamic Meteorology and Oceanography

Volumn 59 A, Issue 4, 2007, Pages 486-498

  Hall, Timothy M ^a   Jewson, Stephen ^b  

^a NASA GODDARD INSTITUTE FOR SPACE STUDIES   (United States)

^b RISK MANAGEMENT SOLUTIONS   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

CYCLOGENESIS; MODELING; OPTIMIZATION; PROBABILITY DENSITY FUNCTION; RISK ASSESSMENT; STATISTICAL ANALYSIS; TROPICAL CYCLONE;

ATLANTIC OCEAN; ATLANTIC OCEAN (NORTH);

EID: 34547408395     PISSN: 02806495     EISSN: 16000870     Source Type: Journal    
DOI: 10.1111/j.1600-0870.2007.00240.x     Document Type: Article

References (13)

1. Bishop, J. A., Chakraborti, S. and Thistle, P. D. 1989. Asymptotically distribution-free statistical inference for generalized Lorenz curves. Rev. Econ. Stat. 71, 725-727.
2. Casson, E. and Coles, S. 2000. Simulation and extremal analysis of hurricane events. Appl. Stat. 49, 227-245.
3. Chu, P. and Wang, J. 1998. Modeling return periods of tropical cyclone intensities in the vicinity of Hawaii. J. Appl. Meteorol. 37, 951-960.
4. Darling, R. 1991. Estimating probabilities of hurricane wind speeds using a large-scale empirical model. J. Clim. 4, 1035-1046.
5. Emanuel, K. A., Ravela, S., Vivant, E. and Risi, C. 2006. A statistical-deterministic approach to hurricane risk assessment. Bull. Amer. Meteor. Soc. 87, 299-312.
6. Gray, W. M., Landsea, C. W., Mielke, P. W. and Berry, K. J. 1992. Predicting Atlantic seasonal hurricane activity 6-11 months in advance. Wea. Forecasting 7, 440-455.
7. Jagger, T., Elsner, J. B. and Niu, X. 2001. A dynamic probability model of hurricane winds in coastal counties of the United States. Appl. Stat. 40, 853-863.
8. James, M. K. and Mason, L. B. 2005. Synthetic tropical cyclone database. J. Wtrwy., Port, Coastal, and Oc. Engrg. 131, 181-192.
9. Jarvinen, B. R., Neumann, JC. J. and Davis, M. A. S. 1984. A tropical cyclone data tape for the North Atlantic Basin, 1886-1983, contents, limitations, and uses. NOAA Tech. Memo., NWS NHC 22.
10. Rumpf, J., Weindl, H., Höppe, P., Rauch, E. and Schmidt, V. 2007. Stochastic modelling of tropical cyclone tracks. Math. Meth. Oper. Res. 65, in press.
11. Vickery, P. J., Lin, J., Skerlj, P. F., Twisdale, L. A. and Huang, K. 2006. HAZUS-MH hurricane model methodology. I: Hurricane hazard, terrain, and wind load modeling. Natural Hazards Rev. 7, 82-93.
12. Vickery, P. J., Skerlj, P. F. and Twisdale, L. A. 2000. Simulation of hurricane risk in the US using an empirical track model. J. Struct. Engin. 126, 1222-1237.
13. Webster, P. J., Holland, G. J., Curry, J. A. and Chang, H.-R. 2005. Changes in tropical cyclone number, duration, and intensity in a warming environment. Science 309, 1844-1846.