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Richard Mumane, Chris Barton, E. Collins, J. Donnelly, James Eisner, K. Emanuel, I. Ginis, S. Howard, Chris Landsea, Kam‐biu Liu, David Malmquist, M. McKay, Anthony Michaels, Norm Nelson, James Brien, D. Scott, T. Webb, (2000)
Model estimates hurricane wind speed probabilitiesEos, Transactions American Geophysical Union, 81
P. Vickery, D. Wadhera, M. Powell, Yingzhao Chen (2009)
A Hurricane Boundary Layer and Wind Field Model for Use in Engineering ApplicationsJournal of Applied Meteorology and Climatology, 48
P. Vickery, F. Masters, M. Powell, D. Wadhera (2009)
Hurricane hazard modeling: The past, present, and futureJournal of Wind Engineering and Industrial Aerodynamics, 97
N. Cook (1982)
Towards better estimation of extreme windsJournal of Wind Engineering and Industrial Aerodynamics, 9
B. Harper, J. Beven, Raymond Zehr, R. Edson, L. Avila, A. Burton, Michael Turk, Akihiro Kikuchi, Adam Christian, P. Caroff, Paul McCrone (2006)
The Dvorak Tropical Cyclone Intensity Estimation Technique
P. Vickery, P. Skerlj, L. Twisdale (2000)
SIMULATION OF HURRICANE RISK IN THE U.S. USING EMPIRICAL TRACK MODELJournal of Structural Engineering-asce, 126
J. Kepert (2006)
Discussion of “Synthetic Tropical Cyclone Database” by M. K. James and L. B. MasonJournal of Waterway Port Coastal and Ocean Engineering-asce, 132
B. Harper (1999)
Numerical modelling of extreme tropical cyclone windsJournal of Wind Engineering and Industrial Aerodynamics, 83
F. David, E. Gumbel (1960)
Statistics of Extremes.Biometrika, 47
V. Dvorak (1984)
Tropical cyclone intensity analysis using satellite data
L. Twisdale, W. Dunn (1983)
Probabilistic Analysis of Tornado Wind RisksJournal of Structural Engineering-asce, 109
B. Harper, S. Stroud, Michael McCormack, Steve West (2007)
A review of historical tropical cyclone intensity in northwestern Australia and implications for climate change trend analysis
Velden (2006)
The Dvorak tropical cyclone intensity estimation technique: A satellite-based method that has endured for over 30 yearsBull. Amer. Meteor. Soc., 87
McBride (2006)
Statement on tropical cyclones and climate change
J. Holmes, W. Moriarty (1999)
Application of the generalized Pareto distribution to extreme value analysis in wind engineeringJournal of Wind Engineering and Industrial Aerodynamics, 83
Knutson (2010)
Tropical cyclones and climate changeNat. Geosci., 3
G. Cook, M. Nicholls (2009)
Estimation of Tropical Cyclone Wind Hazard for Darwin: Comparison with Two Other Locations and the Australian Wind-Loading CodeJournal of Applied Meteorology and Climatology, 48
K. Emanuel, Christopher DesAutels, C. Holloway, R. Korty (2004)
Environmental Control of Tropical Cyclone IntensityJournal of the Atmospheric Sciences, 61
J. Courtney, J. Knaff (2009)
Adapting the Knaff and Zehr wind-pressure relationship for operational use in Tropical Cyclone Warning CentresAustralian Meteorological and Oceanographic Journal, 58
P. Vickery, D. Wadhera, L. Twisdale, F. Lavelle (2009)
U.S. Hurricane Wind Speed Risk and UncertaintyJournal of Structural Engineering-asce, 135
K. Emanuel, S. Ravela, E. Vivant, C. Risi (2006)
A STATISTICAL DETERMINISTIC APPROACH TO HURRICANE RISK ASSESSMENTBulletin of the American Meteorological Society, 87
(1964)
Extreme wind gusts in Australia
L. Makkonen (2008)
Bringing Closure to the Plotting Position ControversyCommunications in Statistics - Theory and Methods, 37
(2007)
Review of NT cyclone risks. Community Group for the Review of NT Cyclone Risks Rep., 79 pp. plus appendixes
Gumbel (1958)
Statistics of Extremes
J. Kossin, K. Knapp, D. Vimont, R. Murnane, B. Harper (2007)
A globally consistent reanalysis of hurricane variability and trendsGeophysical Research Letters, 34
M. James, Lb Mason (2005)
Synthetic tropical cyclone databaseJournal of Waterway Port Coastal and Ocean Engineering-asce, 131
Standards Australia (2002)
Structural design actions
P. Georgiou, A. Davenport, B. Vickery (1983)
Design wind speeds in regions dominated by tropical cyclonesJournal of Wind Engineering and Industrial Aerodynamics, 13
B. Harper (2008)
Wind speed time averaging conversions for tropical cyclone conditions
K. Emanuel (2006)
Climate and tropical cyclone activity : A new model downscaling approachJournal of Climate, 19
(2007)
Review of NT cyclone risks Structural design actions . Part 2 : Wind actions . Australian / New Zealand Standard AS / NZS 1170
Nicholls (2007)
Review of NT cyclone risks
Cook and Nicholls recently argued in this journal that the city of Darwin (Northern Territory), Australia, should be located in wind region D rather than in the current region C in the Australian/New Zealand Standard AS/NZS 1170.2 wind actions standard, in which region D has significantly higher risk. These comments critically examine the methods used by Cook and Nicholls and find serious flaws in them, sufficient to invalidate their conclusions. Specific flaws include 1) invalid assumptions in their analysis method, including that cyclones are assumed to be at the maximum intensity along their entire path across the sampling circle even after they have crossed extensive land areas; 2) a lack of verification that the simulated cyclone tracks are consistent with the known climatological data and in particular that the annual rate of simulated cyclones at each station greatly exceeds the numbers recorded for the entire Australian region; and 3) the apparent omission of key cyclones when comparing the risk at Darwin with two other locations. It is shown here that the number of cyclones that have affected Port Hedland (Western Australia), a site in Australia’s region D, greatly exceeds the number that have influenced Darwin over the same period for any chosen threshold of intensity. Analysis of the recorded gusts from anemometers at Port Hedland and Darwin that is presented here further supports this result. On the basis of this evidence, the authors conclude that Darwin’s tropical cyclone wind risk is adequately described by its current location in region C.
Journal of Applied Meteorology and Climatology – American Meteorological Society
Published: Nov 22, 2010
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