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Objective Center-Finding Algorithm for Tropical Cyclones in Numerical Models

College of Meteorology and Oceanography, National University of Defense Technology, Changsha 410073, China
Author to whom correspondence should be addressed.
Atmosphere 2019, 10(7), 376;
Received: 5 June 2019 / Revised: 2 July 2019 / Accepted: 3 July 2019 / Published: 5 July 2019
(This article belongs to the Section Climatology and Meteorology)
PDF [1766 KB, uploaded 8 July 2019]


Precise center-detection of tropical cyclones (TCs) is critical for dynamic analysis in high resolution model data. The existence of both smaller scale perturbations and larger scale circulations could reduce the accuracy of center positioning. In this study, an objective center-finding algorithm is developed based on a two-dimensional Fourier filter and a vorticity centroid algorithm. This proposed algorithm is able to automatically adjust its parameters according to the scale of the target vortex instead of using artificially prescribed parameters in previous research. What’s more, this new algorithm has been optimized and validated by a hundred idealized vortexes with different sizes and small-scale perturbations. A high-resolution simulation of Typhoon Soudelor (2015) was used to evaluate the performance of the new algorithm, and the proposed objective center-finding algorithm was found able to detect a precise and reliable center. View Full-Text
Keywords: center-finding algorithm; tropical cyclone; two-dimensional Fourier transform center-finding algorithm; tropical cyclone; two-dimensional Fourier transform

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Zhao, C.; Song, J.; Leng, H.; Zhao, J. Objective Center-Finding Algorithm for Tropical Cyclones in Numerical Models. Atmosphere 2019, 10, 376.

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