2017
DOI: 10.3847/1538-4357/aa7fec
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Alfvén Wave Turbulence as a Coronal Heating Mechanism: Simultaneously Predicting the Heating Rate and the Wave-induced Emission Line Broadening

Abstract: In the present work, we test the predictions of the AWSoM model, a global extended-MHD model capable of calculating the propagation and turbulent dissipation of Alfvén waves in any magnetic topology, against high resolution spectra of the quiescent off-disk solar corona. Wave dissipation is the only heating mechanism assumed in this model. Combining 3D model results with the CHIANTI atomic database, we were able to create synthetic line-of-sight spectra which include the effects of emission line broadening due… Show more

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Cited by 42 publications
(58 citation statements)
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“…In order to explain the fast wind component, an additional momentum term is required (Usmanov et al ., 2000; Airapetian et al ., 2010; Ofman, 2010; Airapetian and Cuntz, 2015). Recently developed data-driven global MHD models can successfully reproduce the overall global structure of the solar corona, the solar wind and incorporate the physical processes of heating and acceleration of the solar wind with the initial state and boundary conditions directly derived from observations (van der Holst et al ., 2014; Oran et al ., 2017; Reiss et al ., 2019).…”
Section: Drivers and Signatures Of Space Weather From The Sunmentioning
confidence: 99%
“…In order to explain the fast wind component, an additional momentum term is required (Usmanov et al ., 2000; Airapetian et al ., 2010; Ofman, 2010; Airapetian and Cuntz, 2015). Recently developed data-driven global MHD models can successfully reproduce the overall global structure of the solar corona, the solar wind and incorporate the physical processes of heating and acceleration of the solar wind with the initial state and boundary conditions directly derived from observations (van der Holst et al ., 2014; Oran et al ., 2017; Reiss et al ., 2019).…”
Section: Drivers and Signatures Of Space Weather From The Sunmentioning
confidence: 99%
“…These include how their additional equations are derived, how they relate the energy in the subgrid‐scale turbulence to shear in the shortest‐scale fluctuations of their mean flow solution, their estimates of the energy dissipation rates feeding turbulent energy back into the plasmas internal energy, and the way the Alfvén wave energy fluxes are set at the inner boundary of the models. These modified codes do compare successfully with the general character of the observed corona and solar wind (Downs et al, ; Meng et al, ; Oran et al, ; Usmanov et al, ). While these developments represent a significant step toward a more complete self‐consistent physical model, they are based on a description of the turbulence, which is greatly simplified.…”
Section: Assessment Of Current Model Capabilitiesmentioning
confidence: 83%
“…Apart from the damping, reflections of wave due to density stratification is also expected in our simulation. The reflection of Alfvén wave energy due to gravitational stratification leading to the levelling-off non-thermal line widths is reported in Oran et al (2017). The detailed mechanism of wave reflection and its effect on the variation of the non-thermal line widths in our simulations is beyond the focus of the current study and will be explored in the future.…”
Section: Energy Estimatementioning
confidence: 91%
“…The estimated energy flux was found to be just enough to balance the energy losses in the polar open-field regions of the solar corona. Additionally, several 1D (Lau & Siregar 1996;Orta et al 2003;Suzuki & Inutsuka 2006;Cranmer et al 2007;Oran et al 2013;van der Holst et al 2014;Oran et al 2017), 2.5D Davila 1997b, 1998), and3D (using reduced MHD;van Ballegooijen et al 2011van Ballegooijen et al , 2017 wave-based models driven purely by Alfvén waves have been somewhat successful in explaining the large non-thermal widths of coronal emission lines and acceleration of fast solar winds in open and closed magnetic field regions.…”
Section: Introductionmentioning
confidence: 99%