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  <title><![CDATA[Ph.D. Proposal Oral Exam - Jackson McCormick]]></title>
  <body><![CDATA[<p><strong>Title:&nbsp; </strong><em>D-region Ionospheric Imaging using Lightning Generated Sferics, Forward Modeling, and Tomography</em></p>

<p><strong>Committee:&nbsp; </strong></p>

<p>Dr. Cohen, Advisor&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;</p>

<p>Dr. Romberg, Chair</p>

<p>Dr. Simon</p>

<p>Dr. Bibby</p>

<p><strong>Abstract: </strong></p>

<p>The objective of the proposed research is to produce and evaluate the capabilities of producing a 2D image of the D-region ionospheric parameterization. The D-region of the ionosphere (60-90 km altitude) is highly variable on timescales from fractions of a second to many hours, and on spatial scales up to many hundreds of km. VLF and LF (3-30 kHz, 30-300 kHz) radio waves are guided to global distances by reflections from the ground and the D-region. Therefore, information about the current state of the ionosphere is encoded in received VLF/LF signals. VLF transmitters, for example, have been used in the past for ionospheric remote sensing, with ionospheric disturbances manifesting as perturbations in amplitude and/or phase. The return stroke of lightning is also an impulsive VLF radiator, but unlike VLF transmitters, lightning flashes are spread broadly in space allowing for much greater spatial coverage of the D-region compared to VLF transmitter-based remote sensing in addition to the broadband spectral advantage over the narrowband transmitters. The challenge is that individual lightning-generated waveforms, or &lsquo;sferics&rsquo;, vary due to the lightning current parameters and uncertainty in the time/location information, in addition to D-region ionospheric variability. In part, proposal describes a technique to mitigate this variability to produce stable, high-SNR sferic measurements. Using a model, the received sferics can be used to infer an ionospheric profile that is interpreted as an average along the path from lighting stroke to receiver. Through a tomographic technique, these sparse and sporadic path average inferences can be combined to calculate a 2D image of the D-region electron density profile.</p>
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