Diagnosing tropical cyclone intensity variations from the surface wind field evolution

Tropical cyclone (TC) intensity fluctuations remain a challenge for TC forecasters. Occurring through a wide range of processes, such as vortex contraction, eyewall replacements, or emission of vortex Rossby waves, they are inherently multiscale, transient, and asymmetric. In a recent study, estimates of surface wind field inner-core properties from high-resolution satellite observations were spotted as valuable for the improvement of intensity variations statistical predictability. The present study evaluates how the temporal evolution of the vortex structure, at scales ranging from O(1km) to vortex-wide, further provides insights on the modulation of intensity. The study is based on a set of seven realistic TC simulations with one-kilometer grid spacing. The surface wind field structure is studied through an original set of descriptors which characterize the radial profile, the azimuthal asymmetries, and their spectral distribution. While radial gradients evolve concurrently with intensity, the azimuthal variability of the inner-core shows a stronger connection with shorter-scale intensity modulation. The increase of high wavenumber asymmetries distributed around the ring of maximum winds is shown to precede phases of rapid (re-)intensification by 5-6h, while the concentration of asymmetry in wavenumbers 1 and 2 leads to intensity weakening. A machine learning classification finally highlights that the classification of intensification phases (i.e. intensification or weakening) can be improved by at least 11% (thus reaching ∼75%) when accounting for the evolution of the radial wind gradient and the variance distribution among scales in the ring of maximum wind, relative to the sole use of vortex-averaged parameters.