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Global Driving of Auroral Conductance - Balance of Sources & Numerical Considerations
  • +7
  • Agnit Mukhopadhyay,
  • Daniel Welling,
  • Meghan Burleigh,
  • Michael Liemohn,
  • Aaron Ridley,
  • Shasha Zou,
  • Brian Anderson,
  • Elizabeth Vandegriff,
  • Hyunju Connor,
  • Jesper Gjerloev
Agnit Mukhopadhyay
University of Michigan

Corresponding Author:[email protected]

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Daniel Welling
University of Michigan,University of Texas at Arlington
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Meghan Burleigh
University of Michigan, Naval Research Laboratory
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Michael Liemohn
University of Michigan
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Aaron Ridley
University of Michigan
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Shasha Zou
University of Michigan
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Brian Anderson
Applied Physics Lab, Johns Hopkins University
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Elizabeth Vandegriff
University of Texas at Arlington
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Hyunju Connor
University of Alaska, Fairbanks
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Jesper Gjerloev
Johns Hopkins University
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Abstract

We present latest results from the Conductance Model for Extreme Events (CMEE) and the Magnetosphere-Ionosphere-Thermosphere (MAGNIT) Conductance Model. Both models have been integrated into the Space Weather Modeling Framework (SWMF) to couple dynamically with the BATS-R-US MHD model, the Rice Convection Model (RCM) of the ring current & the Ridley Ionosphere Model (RIM) to simulate the April 2010 “Galaxy15” Event. The model is used with three grid configurations: the low-resolution configuration currently employed by NOAA’s Space Weather Prediction Center and two additional configurations that decrease the minimum grid resolution from ¼ RE to ⅛ and 1/16 RE. In addition, the simulation is driven with and without the dynamic coupling with RCM to study the impact of the ring current’s pressure correction in the inner magnetospheric domain. Using this model setup for a Maxwellian distribution, aforementioned precipitation sources are progressively applied and compared against the DMSP SSUSI observations. Finally, data-model comparisons against AMPERE Field-Aligned Currents, geomagnetic indices & magnetometer measurements are shown, with additional comparison against the existing conductance model in RIM. Results show remarkable progress in auroral precipitation modeling & MI coupling layouts in global models.