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A probabilistic Kp and Hp driven auroral boundary model using 28 years of DMSP data
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  • Riley N Troyer,
  • Russell Gerard Landry,
  • Michael David,
  • James Vincent Eccles,
  • Adrian Acosta
Riley N Troyer
Space Dynamics Laboratory

Corresponding Author:[email protected]

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Russell Gerard Landry
AFRL/RVBX
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Michael David
Utah State University
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James Vincent Eccles
Space Dynamics Laboratory
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Adrian Acosta
Space Dynamics Laboratory
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Abstract

This paper uses energy flux data from the DMSP F6 thru F19 satellites to construct a new equatorward auroral boundary model. This method of processing the data allows one to easily extend boundary detections to different instrument generations because it is based on a standard deviation value instead of hard thresholds. Using this method, the paper provides statistics from just under 1 million auroral boundaries between 1986 and 2014. These statistics are based on normal distribution fits for each Kp/Hp and MLT bin, which allows one to specify the boundary for an arbitrary distribution percentile. The paper compares how the model performs for driving by Hp30, Hp60, and Kp and finds that Hp30 is the best representation of the data. Finally, the paper provides specifications to recreate the model for the 50th and 95th percentiles for Kp and Hp30.
04 Nov 2024Submitted to ESS Open Archive
05 Nov 2024Published in ESS Open Archive