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Polar Cap Boundary identification using redline optical data and DMSP satellite particle data
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  • Bea Gallardo-Lacourt,
  • Simon Wing,
  • Larry Kepko,
  • Deborah Megan Gillies,
  • Emma Spanswick,
  • Elizabeth Roy,
  • Eric Donovan
Bea Gallardo-Lacourt
NASA GSFC

Corresponding Author:[email protected]

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Simon Wing
Johns Hopkins University
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Larry Kepko
NASA Goddard Space Flight Center
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Deborah Megan Gillies
University of Calgary
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Emma Spanswick
University of Calgary
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Elizabeth Roy
University of Calgary
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Eric Donovan
University of Calgary
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Abstract

\justify The location of the polar cap boundary is typically determined using low-orbit satellite measurements in which the boundary is identified by its unique signature of a sharp decrease in energy and particle flux poleward of the auroral oval. In principle, this decrease in precipitating particles should appear as a concomitant sharp change in auroral luminosity. Based on a few events, \cite{Blanchard_1995} suggested that a dramatic gradient in redline aurora may also be an indicator of the polar cap boundary. In recent years, advances in capabilities and the deployment of ground-based all-sky imagers have ushered in a new era of auroral measurements. Auroral imaging has moved well beyond the capabilities of the instrumentation in the previous study in terms of both spatial and temporal resolution. We now have access to decades of optical data from arrays spanning a huge spatial range, enabling a fresh examination of the relationship between redline aurora, particle precipitation, and the polar cap open closed boundary. In this study, we use data from the DMSP satellites in conjunction with the University of Calgary’s REGO (630.0nm) data to assess the viability of automated detection of the 2-dimensional polar cap boundary. Our results exhibit good agreement between the optical and particle polar cap boundary and suggest that a luminosity in redline emission could serve as a reasonable proxy for the location of the the electron poleward boundary during, while providing both high temporal and spatial resolution maps of the open-closed boundary.