E. J. Mitchell

TL;DR: The OVATION Prime-2013 model as mentioned in this paper uses UV images from the GUVI instrument on the satellite TIMED for high disturbance levels (dΦMP/dt) to predict auroral power significantly better than Kp or other traditional parameters, the separation of aurora into categories (diffuse aurora, monoenergetic, broadband, and ion), the inclusion of seasonal variations, and separate parameter fits for each magnetic latitude (MLAT)×magnetic local time (MLT) bin, thus permitting each type of Aurora and each location to have differing responses to

TL;DR: In this paper, the authors investigate the energy properties of magnetic storms associated with corotating interaction regions (CIRs) and compare with ejecta-related events to determine how they differ in overall properties and in particular in their distribution of energy.

TL;DR: In this paper, the authors investigate the ability of the Global Ionosphere-Thermosphere Model (GITM) to simulate the mesoscale wind structure over Alaska during a substorm.

TL;DR: In this paper, a continuous list of substorm onsets compiled from SuperMAG covering January 1, 1997 through December 31, 2007 are studied, and it is shown that the current v is the best single predictor of subsequently observing a substorm.

TL;DR: In this paper, an empirical model for different types of auroral energy flux, called OVATION-SM, has been developed, which is based on ground magnetometer data and products of that data, and it is able to calculate continuous auroral power at a 1'min cadence for 30+ years.