Affiliation:
1. Ifremer, Univ. Brest, CNRS, IRD, Laboratoire d’Océanographie Physique et Spatiale (LOPS), IUEM, Plouzané, France.
2. IRD / UMR ENTROPIE, BP A5, 98848 Nouméa cedex, New Caledonia
Abstract
AbstractTropical Cyclone (TC) internal dynamics have emerged over recent decades as a key to understand their intensity variations, but are difficult to observe, as they are sporadic, multi-scale, and occur in areas of very strong wind gradients. The present work aims at describing the internal structure of TCs, as observed with newly available satellite synthetic aperture radars (SARs) wind products, and at evaluating relations between this structure and the TC life cycle. It is based on a unique dataset of 188 SAR high-resolution (1 km) images, containing 15 to 47 by intensity category. An extraction method is designed to retrieve and characterize, the TC radial profile, its azimuthal degree of asymmetry, and the energy distribution in the eyewall and maximum wind areas. Vortex contraction and sharpening of the eyewall wind radial gradient with increasing TC intensity are observed, as well as a symmetrization of energy distribution around the vortex. Eyewall high wave number structures show a dependence on the life cycle phase, supporting previous findings discussing the vortex rapid evolution with onset and propagation of eyewall mesovortices and associated vortex Rossby wave generation. A machine learning approach finally highlights that the eye shape and eyewall radial wind gradient fine-scale dynamics have the potential to improve the statistical prediction of TC intensity variations, compared to the sole use of vortex averaged parameters and synoptic information. The high-resolution radial and azimuthal coverage provided by SARs make these acquisitions a very valuable tool for TC research and operational application.
Publisher
American Meteorological Society
Reference182 articles.
1. andJ Tropical cyclone center location in SAR images based on feature learning and visual saliency Hurricane Monitoring with Spaceborne Synthetic;Jin;Aperture Radar,2017
2. Tropical cyclone morphology from spaceborne synthetic aperture radar;Li;Bull. Amer. Meteor. Soc.,2013
3. State of the view of tropical cyclones and Atmospheric Collection of Essays in Honor of;Marks;science Radar Radar Science,2003
4. Mesovortices, polygonal flow patterns, and rapid pressure falls in hurricane-like vortices;Kossin;J. Atmos. Sci.,2001
5. Predictability of tropical cyclone intensity: Scale-dependent forecast error growth in high-resolution stochastic kinetic-energy backscatter ensembles;Judt;Quart. J. Roy. Meteor. Soc.,2016
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