scholarly journals Comparisons of Four Methods for Tropical Cyclone Center Detection in a High-Resolution Simulation

2020 ◽  
Vol 98 (2) ◽  
pp. 379-393
Author(s):  
Huadong YANG ◽  
Liguang WU ◽  
Tong XIE
2014 ◽  
Vol 142 (11) ◽  
pp. 4326-4339 ◽  
Author(s):  
Leon T. Nguyen ◽  
John Molinari ◽  
Diana Thomas

Abstract Identifying the center of a tropical cyclone in a high-resolution model simulation has a number of operational and research applications, including constructing a track, calculating azimuthal means and perturbations, and diagnosing vortex tilt. This study evaluated several tropical cyclone center identification methods in a high-resolution Weather Research and Forecasting (WRF) Model simulation of a sheared, intensifying, asymmetric tropical cyclone. The simulated tropical cyclone (TC) contained downshear convective cells and a mesovortex embedded in a broader TC vortex, complicating the identification of the TC vortex center. It is shown that unlike other methods, the pressure centroid method consistently 1) placed the TC center within the region of weak storm-relative wind, 2) produced a smooth track, 3) yielded a vortex tilt that varied smoothly in magnitude and direction, and 4) was insensitive to changes in horizontal grid resolution. Based on these results, the authors recommend using the pressure centroid to define the TC center in high-resolution numerical models. The pressure centroid was calculated within a circular region representing the size of the TC inner core. To determine this area, the authors propose normalizing by the innermost radius at which the azimuthally averaged storm-relative tangential wind at 2-km height equals 80% of the maximum (R80) at 2-km height. Although compositing studies have often normalized by the radius of maximum wind (RMW), R80 proved less sensitive to slight changes in flat tangential wind profiles. This enables R80 to be used as a normalization technique not only with intense TCs having peaked tangential wind profiles, but also with weaker TCs having flatter tangential wind profiles.


Author(s):  
Guosheng Zhang ◽  
Chao Xu ◽  
Xiaofeng Li ◽  
Ziqiang Zhu ◽  
William Perrie

2019 ◽  
Vol 57 (2) ◽  
pp. 709-721 ◽  
Author(s):  
Tangao Hu ◽  
Yiyue Wu ◽  
Gang Zheng ◽  
Dengrong Zhang ◽  
Yuzhou Zhang ◽  
...  

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