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The talk delves into the integrated kinetic energy (IKE) and concentric eyewalls (CEs) in tropical cyclones (TCs). CEs are categorized into short-lived and long-lived types, with long-lived CEs?constituting roughly 25% of all CEs in the Western North Pacific?distinguished by their larger moat and outer eyewall width while maintaining consistent inner eyewall size. Using a cutting-edge AI-based technique, we derived IKE from training datasets, including IR satellite imagery, ERA5 data, and Best Track data (2004?2018), validated against ASCAT (2017?2018) and SAR (2015?2018). Our model converts multichannel satellite imagery into a 0-750-km wind profile of axisymmetric surface winds, achieving exceptional alignment with aircraft observations from Maclay et al. (2008) (R? = 0.99), providing a high level of confidence in the reliability of our research. Through an IKE-Vmax diagram, we analyze the life cycle of TCs, emphasizing the influence of vertical wind shear, CE structures, and particularly the long-lived CEs on the variability of IKE and intensity.
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