Greg Hakim




Variability and predictability of a three-dimensional hurricane in statistical equilibrium

Bonnie R. Brown and Gregory J. Hakim
Department of Atmospheric Sciences, University of Washington,Seattle, WA

Journal of the Atmospheric Sciences 69,  submitted.


The internal variability and predictability of three-dimensional hurricanes is investigated using 100-day-long, statistically steady simulations in a compressible, non-hydrostatic, cloud-resolving model. The equilibrium solution is free of the confounding effects of initial conditions and environmental variability in order to isolate the ``intrinsic'' characteristics of the hurricane.

Results show that the variance of the axisymmetric azimuthal velocity is greatest inside the radius of maximum wind and is dominated by two patterns: one characterize by a radial shift of the maximum wind, and the other by intensity modulation at the radius of maximum wind. These patterns are associated with bands of anomalous wind speed that propagate inward from large radii with a period of roughly 5 days. The largest increases in axisymmetric tangential wind associated with the shifting pattern are opposed, on average, by the asymmetric component of the wind. An analysis of the asymmetric azimuthal velocity component shows that it is generally strongest inward of the axisymmetric radius of maximum wind. The time-mean asymmetric contribution to the tendency of the azimuthal-mean tangential wind is diffusive, with a negative tendency near the radius of maximum wind.

Predictability of axisymmetric storm structure is measured through the autocorrelation $e$-folding time and linear inverse modeling. Results from both methods reveal an intrinsic predictable timescale of about two days. The predictability as well as the variability of the axisymmetric component are consistent with recently obtained results from idealized two-dimensional hurricane modeling.


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