Jurnal
Review and Improvement of Tropical Cyclone Surface Wind Parametric Models Using SAR Imagery
ABSTRACT: Parametric wind models can be used to formulate the wind distribution under a tropical cyclone (TC) as a simple function with a reduced set of parameters. Here, a range of 10 symmetric parametric models are fitted to a dataset of 920 surface wind radial profiles derived from synthetic aperture radar (SAR) high-resolution observations. Multiple lin- ear regressions are performed to express optimal parameters fitted on every SAR-observed profile as functions of TC azi- muthal-mean maximum wind speed, radius of maximum winds, and latitude. These new parameterizations are thoroughly evaluated, in particular their ability to represent the variability of observed profiles over the different intensity categories, and throughout the radial extent of the TC. Among all models, the Loridan model is the most versatile and has the lowest
average root-mean-square error (3.18 m s21 ). It shows a balanced performance among all TC categories and a very good representation of the eyewall and inner core areas. The Rankine pioneer model holds its place among the best models, preferable for the far outer core. The application of the SAR-derived regressions to best track TC parameters is also discussed. A regression of the first-mode wind asymmetry model of Olfateh is provided, allowing the reconstruction of a complete asymmetric wind field. These new SAR-based regressions parameterizations provide users with a state-of-the-art set of parameters based on high-resolution surface observations.
KEYWORDS: Tropical cyclones; Satellite observations; Surface observations; Model evaluation/performance;
Risk assessment
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