2012
DOI: 10.1016/j.jastp.2012.03.016
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Investigating the viscous interaction and its role in generating the ionospheric potential during the Whole Heliosphere Interval

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Cited by 8 publications
(17 citation statements)
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“…Bruntz et al [] used the Lyon‐Fedder‐Mobarry (LFM) simulation [ Lyon et al , ] to study the viscous potential for various solar wind parameters during steady states and derived a quasi‐empirical formula to calculate the viscous potential using a constant ionospheric conductivity of 10 mhos, φ V =(0.00431) n 0.439 V 1.33 kV where n is the solar wind density in cm −3 and V is the magnitude of solar wind velocity in km/s. This formula obtained by Bruntz et al [] has also been seen to be in good agreement with the LFM simulation driven with real solar wind input for which solar wind was not “steady” [ Bruntz et al , ]. In this paper, we will use the results obtained from LFM simulation for purely northward IMF (i.e., without B x and B y IMF component) to show the reduction of viscous potential.…”
Section: Introductionsupporting
confidence: 72%
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“…Bruntz et al [] used the Lyon‐Fedder‐Mobarry (LFM) simulation [ Lyon et al , ] to study the viscous potential for various solar wind parameters during steady states and derived a quasi‐empirical formula to calculate the viscous potential using a constant ionospheric conductivity of 10 mhos, φ V =(0.00431) n 0.439 V 1.33 kV where n is the solar wind density in cm −3 and V is the magnitude of solar wind velocity in km/s. This formula obtained by Bruntz et al [] has also been seen to be in good agreement with the LFM simulation driven with real solar wind input for which solar wind was not “steady” [ Bruntz et al , ]. In this paper, we will use the results obtained from LFM simulation for purely northward IMF (i.e., without B x and B y IMF component) to show the reduction of viscous potential.…”
Section: Introductionsupporting
confidence: 72%
“…Hence, we chose the 16th hour into the simulation to evaluate our data for all runs to use a consistent time step and also to make sure that we were well within the steady state. The LFM simulation has been able to model different real magnetospheric events [ Lyon et al , ; Lopez et al , ; Bruntz et al , ; Lopez et al , ; Wiltberger et al , ] showing that the results obtained from the LFM simulation predict the real magnetosphere well.…”
Section: Introduction To the Lfm Simulationmentioning
confidence: 99%
“…Both events were simulated for a constant ionospheric conductivity of 5 mhos. During both events we found that variation pattern of PCP was consistent with behavior of PCP observed in previous research by Bhattarai et al (), Lopez et al ( and ), Bruntz, Lopez, Bhattarai, et al, and Bruntz, Lopez, Wiltberger, & Lyon, ), and Mitchell et al (), although most of these previous works dealt with steady state IMF conditions.…”
Section: Discussionsupporting
confidence: 91%
“…Thus, the PCP obtained in this case is purely mechanical in nature, that is, solely due to dragging of magnetopause plasma due to velocity difference between the magnetopause and magnetosheath plasma, thus forming a convection pattern inside the magnetosphere which gets mapped to the ionosphere along magnetic field lines producing viscous potential (Bruntz et al, ). The value of viscous potential is seen to increase with increase in solar wind speed and density which has also been confirmed by various authors by analyzing in situ observation data (Boyle et al, ; Newell et al, ) as well as simulation models (Bruntz, Lopez, Bhattarai, et al, ; Sonnerup et al, ). BATS‐R‐US is seen to be more sensitive to density fluctuation compared to LFM, although PCP obtained from both of them are very close, which might be due to better resolution and/or different numerical solving schemes.…”
Section: Resultsmentioning
confidence: 99%
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