@article{fdi:010084336, title = {{O}bservations of tropical cyclone inner-core fine-scale structure, and its link to intensity variations}, author = {{V}inour, {L}. and {J}ullien, {S}. and {M}ouche, {A}. and {C}ombot, {C}. and {M}angeas, {M}organ}, editor = {}, language = {{ENG}}, abstract = {{T}ropical cyclone ({TC}) internal dynamics have emerged over recent decades as a key to understand their intensity variations, but they are difficult to observe because they are sporadic, multiscale, and occur in areas of very strong wind gradients. {T}he present work aims at describing the internal structure of {TC}s, as observed with newly available satellite synthetic aperture radar ({SAR}) wind products, and at evaluating relations between this structure and the {TC} life cycle. {I}t is based on a unique dataset of 188 {SAR} high-resolution (1 km) images, containing 15-47 images by intensity category. {A}n 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. {V}ortex 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. {E}yewall high-wavenumber 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 {R}ossby wave generation. {A} machine-learning approach 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 relative to the sole use of vortexaveraged parameters and synoptic information. {T}he high-resolution radial and azimuthal coverage provided by {SAR}s make these acquisitions a very valuable tool for {TC} research and operational application.}, keywords = {{T}ropical cyclones ; {W}ind ; {S}tatistics ; {R}adars/radar observations ; {S}atellite observations ; {C}lassification ; {ATLANTIQUE} ; {PACIFIQUE} ; {OCEAN} {INDIEN} ; {ZONE} {TROPICALE}}, booktitle = {}, journal = {{J}ournal of the {A}tmospheric {S}ciences}, volume = {78}, numero = {11}, pages = {3651--3671}, ISSN = {0022-4928}, year = {2021}, DOI = {10.1175/jas-d-20-0245.1}, URL = {https://www.documentation.ird.fr/hor/fdi:010084336}, }