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A Ground-Up Data-Driven Approach to Distinguishing Magnetospheric Sources of Geomagnetically Induced Currents > 10 A during the 17 March 2013 Event
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  • Bhagyashree Waghule,
  • Delores J. Knipp,
  • Jennifer Gannon,
  • Daniel Billett,
  • Sarah Kimberly Vines,
  • Jerry Goldstein
Bhagyashree Waghule
University of Colorado Boulder

Corresponding Author:[email protected]

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Delores J. Knipp
University of Colorado Boulder
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Jennifer Gannon
CPI
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Daniel Billett
University of Saskatchewan
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Sarah Kimberly Vines
Southwest Research Institute
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Jerry Goldstein
SwRI
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Abstract

We combine wavelet analysis and data fusion to investigate geomagnetically induced currents (GICs) on the Mäntsälä pipeline and the associated horizontal geomagnetic field, BH, variations during the late main phase of the 17 March 2013 geomagnetic storm. The wavelet analysis decomposes the GIC and BH signals at increasing ‘scales’ to show distinct multi-minute spectral features around the GIC spikes. Four GIC spikes > 10 A occurred while the pipeline was in the dusk sector – the first sine-wave-like spike at ~16 UT was ‘compound.’ It was followed by three ‘self-similar’ spikes two hours later. The contemporaneous multi-resolution observations from ground-(magnetometer, SuperMAG, SuperDARN), and space-based (AMPERE, TWINS) platforms capture multi-scale activity to reveal two magnetospheric modes causing the spikes. The GIC at ~16 UT occurred in two parts with the negative spike associated with a transient sub-auroral eastward electrojet that closed a developing partial ring current (PRC) loop, whereas the positive spike developed with the arrival of the associated mesoscale flow-channel in the auroral zone. The three spikes between 18-19 UT were due to bursty bulk flows (BBFs). We attribute all spikes to flow-channel injections (substorms) of varying scales. We use previously published MHD simulations of the event to substantiate our conclusions, given the dearth of timely in-situ satellite observations. Our results show that multi-scale magnetosphere-ionosphere activity that drives GICs can be understood using multi-resolution analysis. This new framework of combining wavelet analysis with multi-platform observations opens a research avenue for GIC investigations and other space weather impacts.