From discrete auroral arcs to the magnetospheric generator: numerical model and case study

We discuss an analysis method developed to estimate some of the properties of auroral generators (electron density, ne and temperature, Te), from ionospheric observations of the energy flux of precipitating electrons, e, measured across an auroral arc. The method makes use of a quasi-static magnetosphere-ionosphere coupling model. Assuming that the generator is a magnetospheric plasma interface, one obtains a parametric description of the generator electric field as a function of the kinetic and MHD properties of the interface. This description of the generator is introduced in a stationary M-I coupling model based on the current continuity in the topside ionosphere (Echim et al, 2007). The model is run iteratively for typical values of the magnetospheric ne and Te that are adjusted until the precipitating energy flux ɛ provided by the model at ionospheric altitudes fits the observations. The latter can be provided either in-situ by spacecraft measurements or remotely from optical ground-based observations. The method is illustrated by using the precipitating energy flux observed in-situ by DMSP on April 28, 2001, above a discrete auroral arc. For this particular date we have been able to compare the generator properties determined with our method with actual magnetospheric in-situ data provided by Cluster. The results compare very well and hence validate the method. The methodology is then applied on the energy flux of precipitating electrons estimated from optical images of a discrete auroral arc obtained simultaneously with the CCD cameras of the ALIS (Auroral Large Imaging System) network located in Scandinavia on 5 March 2008 (Simon Wedlund et al, 2013). Tomography-like techniques are used to retrieve the three-dimensional volume emission rates at 4278 Å from which the energy spectra of precipitating magnetospheric electrons can be further derived. These spectra are obtained along and across the arc, with a spatial resolution of approximately 3 km and provide E0, the characteristic energy and ɛ, the total flux energy of precipitating electrons. The generator properties are then estimated using the iterative technique validated with data from the DMSP-Cluster conjunction.