2009
DOI: 10.1051/0004-6361/200811183
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Time-dependent hydrodynamical simulations of slow solar wind, coronal inflows, and polar plumes

Abstract: Aims. We explore the effects of varying the areal expansion rate and coronal heating function on the solar wind flow. Methods. We use a one-dimensional, time-dependent hydrodynamical code. The computational domain extends from near the photosphere, where nonreflecting boundary conditions are applied, to 30 R , and includes a transition region where heat conduction and radiative losses dominate. Results. We confirm that the observed inverse relationship between asymptotic wind speed and expansion factor is obta… Show more

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Cited by 30 publications
(38 citation statements)
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References 24 publications
(23 reference statements)
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“…Faster wind velocities require a complete and consistent energetic treatment, which is beyond the scope of the current paper. Besides, Pinto et al (2009) show that the anti-correlation between terminal wind velocity and flux-tube expansion factor is still verified in self-consistent nonisothermal cases. The only strong constraint over the domain's radial extent regarding the physical correctness of the numerical model is that it has to completely contain all critical surfaces (sonic and Alfvénic; cf.…”
Section: Solar Wind Speedmentioning
confidence: 78%
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“…Faster wind velocities require a complete and consistent energetic treatment, which is beyond the scope of the current paper. Besides, Pinto et al (2009) show that the anti-correlation between terminal wind velocity and flux-tube expansion factor is still verified in self-consistent nonisothermal cases. The only strong constraint over the domain's radial extent regarding the physical correctness of the numerical model is that it has to completely contain all critical surfaces (sonic and Alfvénic; cf.…”
Section: Solar Wind Speedmentioning
confidence: 78%
“…The choice of a particular value for the coronal temperature is somewhat arbitrary, though. The temperature T = 1.3 MK chosen here is justified both by representing an average coronal value in the first ∼10 R (see, e.g., results by Hansteen & Leer 1995;Endeve et al 2003;Guhathakurta et al 2006;Pinto et al 2009, among others) and empirically as it produces correct wind solutions. As discussed later in the text, the wind's mass flux depends both on the coronal temperature and on wind geometrical expansion factors.…”
Section: Dip: Wind Modelmentioning
confidence: 99%
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“…The effect of these temperature variations could perhaps be simulated in our model by setting a non-uniform coronal T 0 (varying in latitude and in time), but -as discussed above -the distribution of fast and slow wind flows is the outcome of the model, on which its parameters cannot depend. An in-depth investigation of the thermodynamics of the solar wind flows requires a different kind of model (as in Suzuki & Inutsuka 2006;Pinto et al 2009;Woolsey & Cranmer 2014), which will be the subject of future work. Nevertheless, the approach we adopt here strongly suggests that the absolute values and spatial distribution of the solar wind speed is mostly controlled by the geometry of the coronal magnetic field (independently of the heating scenario considered).…”
Section: Discussionmentioning
confidence: 99%
“…Suzuki (2006), in particular, suggests that the wind speed should scale as V wind ∝ B 0 / f tot (keeping the coronal temperature and the wave power input constant). The amplitude of the magnetic field and the way it decays with height can also influence the rate and position at which this energy input is dissipated in the corona, which in turn affects the terminal wind speed (see Pinto et al 2009;Cranmer 2002, and many others). Alternatively, one can interpret this relationship between wind speed and B 0 / f tot as resulting from a conjugation of geometrical properties of the coronal magnetic field.…”
Section: Wind Speed Expansion and Magnetic Field Amplitudementioning
confidence: 99%