Reexamining the Estimation of Tropical Cyclone Radius of Maximum Wind from Outer Size with an Extensive Synthetic Aperture Radar Dataset

Author:

Avenas Arthur12ORCID,Mouche Alexis1,Tandeo Pierre2,Piolle Jean-Francois1,Chavas Dan3,Fablet Ronan2,Knaff John4,Chapron Bertrand1

Affiliation:

1. a Ifremer, Univ. Brest, CNRS, IRD, Laboratoire d’Océanographie Physique et Spatiale (LOPS), IUEM, Plouzané, France

2. b IMT Atlantique, Lab-STICC, Université Bretagne Loire, Brest, France

3. c Department of Earth, Atmospheric, and Planetary Sciences, Purdue University, West Lafayette, Indiana

4. d NOAA/NESDIS Regional and Mesoscale Meteorological Branch, Fort Collins, Colorado

Abstract

Abstract The radius of maximum wind Rmax, an important parameter in tropical cyclone (TC) ocean surface wind structure, is currently resolved by only a few sensors so that, in most cases, it is estimated subjectively or via crude statistical models. Recently, a semiempirical model relying on an outer wind radius, intensity, and latitude was fit to best-track data. In this study we revise this semiempirical model and discuss its physical basis. While intensity and latitude are taken from best-track data, Rmax observations from high-resolution (3 km) spaceborne synthetic aperture radar (SAR) and wind radii from an intercalibrated dataset of medium-resolution radiometers and scatterometers are considered to revise the model coefficients. The new version of the model is then applied to the period 2010–20 and yields Rmax reanalyses and trends that are more accurate than best-track data. SAR measurements corroborate that fundamental conservation principles constrain the radial wind structure on average, endorsing the physical basis of the model. Observations highlight that departures from the average conservation situation are mainly explained by wind profile shape variations, confirming the model’s physical basis, which further shows that radial inflow, boundary layer depth, and drag coefficient also play roles. Physical understanding will benefit from improved observations of the near-core region from accumulated SAR observations and future missions. In the meantime, the revised model offers an efficient tool to provide guidance on Rmax when a radiometer or scatterometer observation is available, for either operations or reanalysis purposes.

Funder

HORIZON EUROPE European Research Council

Publisher

American Meteorological Society

Subject

Atmospheric Science

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