over the last several years has highlighted the importance of
tropical cyclone intensity prediction. Hurricanes Katrina (2005)
and Charley (2004), two intense hurricanes of markedly differing
sizes at landfall, have also shown that the prediction of surface
wind structure is just as important as the prediction of storm
intensity when assessing the potential for damage from a
landfalling cyclone. In this paper, we examine new methods of
evaluating forecasts of tropical cyclone wind structure from
dynamical models, and we apply these methods to forecasts for
storms from the 2007 Atlantic hurricane season.
One new method involves the evaluation of model-predicted
surface wind values at specified radii along 45-degree
azimuths in each storm quadrant. This method provides a
continuous wind profile for each model in each quadrant. This
is in contrast to the standard method of determining the radii
of 34-, 50- and 64-kt winds, which often results in incomplete
datasets due to the models often having difficulty in producing
winds at these thresholds.
Another new method involves the application of techniques
described by Powell and Reinhold (2007) to evaluate the near-
surface integrated kinetic energy (IKE) in each model. Various
IKE quantities will be evaluated for each of the models. A third
method involves evaluating the distribution of winds in each storm
quadrant. Comparisons between profiles of forecast and observed
wind distributions will be shown, and validation statistics will
be presented, including probability of detection and false alarm
rates.
In the talk, we will describe the methods used and provide
evaluation of these methods for selected 2007 Atlantic storms
for forecasts from the GFS, UKMET, ECMWF, NOGAPS, CMC, GFDL
and HWRF models.