A Unified Picture of Swirl-driven Solar Coronal Heating: Magnetic Energy Supply and Dissipation
Year: 2025
Type: article
Abstract: The coronal heating problem is one of the most critical challenges in solar physics. Recent observations have revealed that small-scale swirls are ubiquitous in the photosphere and chromosphere, suggesting that they may play a significant role in transferring magnetic energy into the corona. However, the overall contribution of swirls to the total magnetic energy supply and subsequent coronal heating remains uncertain. To address this, we perform statistical analyses of simulated swirls using a three-dimensional radiative magnetohydrodynamic simulation extending from the convection zone to the corona in the quiet Sun. Our results reveal that swirls account for approximately half of the total magnetic energy. Furthermore, they strongly suggest that swirls can trigger coronal heating events through magnetic reconnection. The occurrence frequency of these events follows a power-law-like distribution, consistent with observations of coronal heating signatures known as “nanoflares,” indicating that swirls are promising candidates as their drivers.
Institutions: Northumbria University, The University of Tokyo, Kyoto University
Language: English
Subfield: Astronomy and Astrophysics
Field: Physics and Astronomy
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $2,400
Funders: European Commission, National Astronomical Observatory of Japan, HORIZON EUROPE Framework Programme, Engineering and Physical Sciences Research Council, Japan Society for the Promotion of Science, National Institutes of Natural Sciences, Research Institute for Sustainable Humanosphere, Kyoto University
Awards: 微視的プラズモイド形成と大域的挙動とを両立する磁気リコネクション室内実験の構築, Unveiling the Solar Wind Acceleration Mechanism through Non-Equilibrium Ionization Models, G2047399648, DynaSun - Dynamics Of The Solar Corona In The Era Of Data Intensive Observations, G580096458, Clarifying the relationship between solar activity and the occurrence probability of large-scale flares and CMEs, G8135955137
OpenAlex ID: W4414097459
