A review of selected data-analysis techniques for determining ionospheric electrodynamic parameters on mesoscales

Wednesday, 25 May 2016: 8:30 AM
Heikki Vanhamäki, Finnish Meteorological Institute, Helsinki, Finland; University of Oulu, Oulu, Finland
Abstract:
We present a review of selected data-analysis methods that are applied in studies of ionospheric electrodynamics using ground-based and space-based data sets. At present, there is no single measurement device (or evn a network of devices) that can measure all ionospheric electrodynamic parameters directly and simultaneously, with good spatial and temporal resolution and coverage. Therefore data-analysis techniques are needed to combine different types of measured data and to obtain unobserved ionospheric parameters from the observed ones, possibly using some additional assumptions in the process. We concentrate on methods that are data driven and applicable to single events (not simulations or statistical models), and which can be used in mesoscale studies, where the analysis area is typically some hundreds or thousands of km across.

The primary focus of this review is in ionospheric electrodynamics, so we do not include variables like chemical composition, temperature, etc. in our discussion. We mostly concentrate on analysis techniques that have been developed to be used with data from the MIRACLE network (Magnetometers - Ionospheric Radars - All-sky Cameras Large Experiment) situated in Northern Europe, but also some techniques developed for satellite observations, such as CHAMP and Swarm, are discussed.

The full set of ionospheric electrodynamic parameters that we are interested in consist of the ionospheric horizontal electric field, height integrated Hall and Pedersen conductances, horizontal sheet current and field aligned current (FAC). Additionally, the magnetic perturbation is an important input parameter in many analysis methods. Most of the reviewed methods are used in 2-dimensional (latitude - longitude) regions of the ionosphere, but some methods have also 1-dimensional variants. In 1D analysis it is assumed that ionospheric parameters vary only in one horizontal direction (e.g. as a function of geomagnetic latitude), so input data is required along a single chain or a satellite track only.