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Enhanced Global Tropical Cyclone Identification in...
Journal article

Enhanced Global Tropical Cyclone Identification in ERA5 through Bayesian Inference and Dynamic Tracking (BIDTrack) Algorithm

Abstract

Abstract In this study, the Bayesian Inference and Dynamic Programming Tracking (BIDTrack) algorithm is developed for enhanced global tropical cyclone (TC) tracking in reanalysis datasets, particularly the fifth major global reanalysis produced by the European Centre for Medium-Range Weather Forecasts (ECMWF) (ERA5). BIDTrack addresses challenges like trajectory discontinuities and parameter sensitivity in traditional methods by combining …

Authors

Lin X; Huang G; Song T

Journal

Journal of Climate, Vol. 38, No. 15, pp. 3661–3675

Publisher

American Meteorological Society

Publication Date

August 1, 2025

DOI

10.1175/jcli-d-24-0484.1

ISSN

0894-8755