FN Archimer Export Format
PT J
TI Reexamining the Estimation of Tropical Cyclones Radius of Maximum Wind from Outer Size with an Extensive Synthetic Aperture Radar Dataset
BT 
AF Avenas, Arthur
   Mouche, Alexis
   Tandeo, Pierre
   Piolle, Jean-Francois
   Chavas, Dan
   Fablet, Ronan
   Knaff, John
   Chapron, Bertrand
AS 1:1,2;2:1;3:2;4:1;5:3;6:2;7:4;8:1;
FF 1:PDG-ODE-LOPS-SIAM;2:PDG-ODE-LOPS-SIAM;3:;4:PDG-ODE-LOPS-SIAM;5:;6:;7:;8:PDG-ODE-LOPS-SIAM;
C1 Ifremer, Univ. Brest, CNRS, IRD, Laboratoire d’Océanographie Physique et Spatiale (LOPS), IUEM, F-29280, Plouzané, France
   IMT Atlantique, Lab-STICC, Université Bretagne Loire, Brest, France
   Purdue University, Department of Earth, Atmospheric, and Planetary Sciences, West Lafayette, Indiana
   NOAA/NESDIS Regional and Mesoscale Meteorological Branch, Fort Collins, Colorado
C2 IFREMER, FRANCE
   IMT ATLANTIQUE, FRANCE
   UNIV PURDUE, USA
   NOAA, USA
SI BREST
SE PDG-ODE-LOPS-SIAM
UM LOPS
IN WOS Ifremer UMR
   copubli-france
   copubli-int-hors-europe
IF 3.2
TC 1
UR https://archimer.ifremer.fr/doc/00859/97087/105887.pdf
LA English
DT Article
DE ;Hurricanes/typhoons;Tropical cyclones;Wind;Remote sensing;Satellite observations;Statistical techniques
AB The radius of maximum wind (Rmax), an important parameter in tropical cyclones (TCs) 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 semi-empirical model relying on an outer wind radius, intensity and latitude was fit to best-track data. In this study we revise this semi-empirical 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 inter-calibrated 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 2010-2020 and yields Rmax reanalyses and trends 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. 
PY 2023
PD DEC
SO Monthly Weather Review
SN 0027-0644
PU American Meteorological Society
VL 151
IS 12
UT 001123178100001
BP 3169
EP 3189
DI 10.1175/MWR-D-23-0119.1
ID 97087
ER

EF