Data-driven simulation of storm-enhanced density and tongue of ionization during the May 10–11, 2024, superstorm

Authors:
  • NXNiu XiangYu
    Niu XiangYu
  • ZJZhang JiaoJiao
    Zhang JiaoJiao
  • WHWu HaoNan
    Wu HaoNan
  • LJLiu JianJun
    Liu JianJun
  • JYJin YaQi
    Jin YaQi
  • LSLi ShuHan
    Li ShuHan

Abstract
(SSUSI) auroral inputs and Super Dual Auroral Radar Network (SuperDARN)-derived convection drivers using the Thomas and Shepherd (2018) model (TS18) allow the Thermosphere-Ionosphere-Electrodynamics General Circulation Model (TIEGCM) to realistically reproduce the May 10-11, 2024, superstorm. • Data-driven simulation successfully captures the rapid formation of storm-enhanced density and tongue of ionization, yielding improved agreement with the Global Navigation Satellite System (GNSS) total electron content (TEC) relative to empirical drivers. • Above the F 2 peak, fine-scale E × B uplift and polar-cap transport dominate, whereas below the peak, auroral precipitation and neutral winds control the development of storm-enhanced density and tongue of ionization.

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