Speaker
Description
Global Magnetohydrodynamic (MHD) and multi-fluid coronal models are crucial in enhancing our comprehension and prediction of space weather. This study provides new insights into the impact of source and sink terms on a two-fluid model of the partially ionised solar atmosphere and its implications for the dynamics of the solar corona, particularly in the context of space weather forecasting. This study aims to extend the two-fluid global coronal model (COCONUT-MF) by incorporating source and sink
terms that comprise empirical formulations for coronal heating terms and radiative, and thermal conduction losses. The paper presents a fresh perspective by performing a comparative analysis of model performance with and without these source terms within a two-fluid (ion-neutral) plasma framework. The work in this paper adopts the newly developed multi-fluid global coronal model (COolfluid COronal uNstrUcTured - Multi Fluid, hereafter COCONUT-MF), which is primarily based on the Computational Object-Oriented Libraries for Fluid Dynamics (COOLFluiD) code. This code solves the equations separately for charged particles (ions + electrons) and the neutral gas to describe the dynamics of a partially ionised plasma. The proposed model accounts for chemical (ionisation/combination) and non-ideal dynamics ( collisional) due to the presence of neutrals and the empirical heating terms, thermal conduction, and radiative loss implemented in the energy equation. Results. The paper discusses two steady-state solutions: one for a minimum solar activity case (1 August 2008) and one for a maximum solar activity situation (9 March 2016). We demonstrate the need for these source term considerations
when using two-fluid models to describe the lower corona’s dynamics accurately. The obtained results underscore the necessity of including source and sink terms in the accurate modelling of the solar corona’s dynamics. This will lead to structured temperature profiles and improved predictions for space weather.
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