An investigation comparing ground-based techniques that quantify auroral electron flux and conductance

S. R. Kaeppler, D. L. Hampton, M. J. Nicolls, A. Strømme, S. C. Solomon, J. H. Hecht, M. G. Conde

Research output: Contribution to journalArticlepeer-review

45 Scopus citations

Abstract

We present three case studies that examine optical and radar methods for specifying precipitating auroral flux parameters and conductances. Three events were chosen corresponding to moderate nonsubstorm auroral activity with 557.7 nm intensities greater than 1kR. A technique that directly fits the electron number density from a forward electron transport model to alternating code incoherent scatter radar data is presented. A method for determining characteristic energy using neutral temperature observations is compared against estimates from the incoherent scatter radar. These techniques are focused on line-of-sight observations that are aligned with the local geomagnetic field. Good agreement is found between the optical and incoherent scatter radar methods for estimates of the average energy, energy flux, and conductances. The Pedersen conductance predicted by Robinson et al. (1987) is in very good agreement with estimates calculated from the incoherent scatter radar observations. However, we present an updated form of the relation by Robinson et al. (1987), ΣHP=0.570.53, which was found to be more consistent with the incoherent scatter radar observations. These results are limited to similar auroral configurations as in these case studies. Case studies are presented that quantify auroral electron flux parameters and conductance estimates which can be used to specify the magnitude of energy dissipated within the ionosphere resulting from magnetospheric driving.

Original languageEnglish
Pages (from-to)9038-9056
Number of pages19
JournalJournal of Geophysical Research: Space Physics
Volume120
Issue number10
DOIs
StatePublished - Oct 1 2015
Externally publishedYes

Keywords

  • Aurora
  • Conductance
  • Electron
  • optics
  • precipitation
  • radar

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