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  <title><![CDATA[Ph.D. Dissertation Defense - Jenny Reed]]></title>
  <body><![CDATA[<p><strong>Title</strong><em>:&nbsp; </em><em>Theoretical Performance Bounds for Estimation of Drop Size Distribution Parameters and Rain Rate</em></p>

<p><strong>Committee:</strong></p>

<p>Dr. Aaron Lanterman, ECE, Chair , Advisor</p>

<p>Dr. Douglas Williams, ECE</p>

<p>Dr. Mark Richards, ECE</p>

<p>Dr. Gregory Durgin, ECE</p>

<p>Dr. Branislav Vidakovic, BME</p>

<p><strong>Abstract:&nbsp;</strong></p>

<p>Radar is an indispensable tool in the observation, analysis, and prediction of weather.&nbsp; The Weather Surveillance Radar 1988-Doppler (WSR-88D) is the primary source of weather-radar data in the United States (U.S.), providing dual-polarimetric (dual-pol) radar measurements for the inference of meteorological phenomena.&nbsp; The objective of this dissertation is to derive fundamental performance bounds for the variance of any unbiased estimator of the drop size distribution (DSD) parameters of rain, given the dual-pol measurements recorded by operational weather radars, e.g., the WSR-88D.&nbsp; This dissertation further establishes similar bounds for the estimation of rain rate and liquid water content (LWC).&nbsp;</p>
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