Year: 2025
Type: article
Abstract: . The Dungey cycle is a fundamental process governing large-scale plasma dynamics in the near-Earth space, traditionally examined through Magnetohydrodynamic (MHD) simulations and ionospheric observations. However, MHD models often oversimplify the complexities of driving dynamics and kinetic processes, while observational data tend to lack sufficient coverage. In this study, we utilize a hybrid-Vlasov simulation to investigate the Dungey cycle, and introduce a novel method for quantifying reconnection rates in different Magnetic Local Time (MLT) sectors. This method is validated by comparing it with the ionospheric open flux change rate in the simulation. Our analysis identifies azimuthal convection channels on the dawn and dusk flanks during the simulation run, modulated by dayside reconnection events. Notably, we observe that the effective length of dayside reconnection fluctuates, even under steady solar wind conditions. Our results reveal significant deviations from MHD theory, which predicts that plasma flows within the magnetosphere should follow flux tube entropy isocontours. Instead, we demonstrate that plasma flows near reconnection sites and at the terminators exhibit more intricate patterns, deviating from earlier results. This study validates the representation of the Dungey cycle in the Vlasiator 3D simulation and enhances our understanding of global plasma convection. Future work should focus on identifying the kinetic processes that explain the deviations in the plasma convection with flux tube entropy isocontours between MHD theory and kinetic approach.
Source: Annales Geophysicae
Language: English
Subfield: Astronomy and Astrophysics
Field: Physics and Astronomy
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $1,186
Awards: HPC-approach to Ionospheric Situational Awareness (HISSA), G2050835148, Centre of Excellence in Research of Sustainable Space, Kinetic Ionosphere–Magnetosphere Coupling with Hybrid Ions (KIMCHI), Impact of foreshock transients on near-Earth space, G4291252820, Fast AI-assisted Space Environment pRediction, Finnish Centre of Excellence in Research of Sustainable Space, G5428434477, G5818264009, Distributed AI in Supercomputing and phYsics (DAISY), G6966446605, ICT-Solutions to Understand Variability of Arctic Climate, UNfolding storm-Time Wave activity in Near-Earth space (UNTWINE), Innovative Algorithms for Applications on European Exascale Supercomputers
OpenAlex ID: W4416458350
