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<p class="HTMLBody" align="center" style="text-align:center;line-height:115%"><b><u><span style="font-size:26.0pt;line-height:115%;font-family:"Monotype Corsiva"">Meteorology Seminar<o:p></o:p></span></u></b></p>
<p class="HTMLBody" align="center" style="text-align:center;line-height:115%"><b><span style="font-size:28.0pt;line-height:115%;font-family:"Monotype Corsiva"">Walker Whitfield</span></b><span style="font-size:28.0pt;line-height:115%;font-family:"Monotype Corsiva""><o:p></o:p></span></p>
<p class="HTMLBody" align="center" style="text-align:center"><span style="font-size:28.0pt;font-family:"Monotype Corsiva"">M.S. Meteorology Candidate<o:p></o:p></span></p>
<p class="HTMLBody"><span style="font-size:12.0pt"><o:p> </o:p></span></p>
<p class="doublespacedcaps" align="left" style="text-align:left;line-height:normal">
<b><u><span style="font-size:14.0pt">Title</span></u>:</b> ESTimating Return periods oF extreme tropical cyclone winds ACCounting for effective surface roughness at high resolution<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal"><b><u><span style="font-size:14.0pt">Major Professor</span></u></b><b><span style="font-size:14.0pt">: Dr. Mark Bourassa</span></b><b><u><span style="font-size:14.0pt;font-family:"Times",serif"><o:p></o:p></span></u></b></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Tahoma",sans-serif;color:black"><o:p> </o:p></span></p>
<p class="MsoNormal"><b><u><span style="font-size:14.0pt">Date</span></u></b><b><span style="font-size:14.0pt">:</span></b><span style="font-size:14.0pt"> March 18<sup>th</sup>, 2021
<b><u>Time</u>: 3:30 PM</b></span><span style="font-size:14.0pt;font-family:"Times New Roman",serif"><o:p></o:p></span></p>
<p class="HTMLBody"><b><o:p> </o:p></b></p>
<p class="MsoNormal"><b><u><span style="font-size:14.0pt">Location</span></u></b><b><span style="font-size:14.0pt">: Zoom Meeting
</span></b><span style="font-size:14.0pt">(URL:<b> </b></span><a href="https://fsu.zoom.us/j/93595187379" target="_blank"><span style="font-size:10.5pt;font-family:"Helvetica",sans-serif;color:#3E8DEF;background:white">https://fsu.zoom.us/j/93595187379</span></a>)<o:p></o:p></p>
<p class="HTMLBody"><b><o:p> </o:p></b></p>
<p class="MsoNormal" align="center" style="text-align:center"><b>ABSTRACT<o:p></o:p></b></p>
<p class="MsoNormal" align="center" style="text-align:center"><b><o:p> </o:p></b></p>
<p class="Textnoindent-TDTemplate" style="text-indent:.5in;line-height:normal">In the United States, tropical cyclones (TCs) were the leading cause of natural disaster-related fatalities and Consumer Price Index (CPI)-adjusted costs averaged over the years
1980-2017. Accurately assessing TC-induced extreme winds is crucial to proper risk management related to mitigation of these losses. Several studies attempt to calculate return periods (<i>T<sub>RP</sub></i>), or the statistically estimated average time between
events of a given magnitude, for extreme TC winds at point locations or along coastlines. This study seeks to further previous work by addressing concerns related to spatial and temporal resolutions, in addition to the consideration of TC winds as a function
of surface roughness and fetch over land. We begin by analyzing HURDAT BestTrack Extended (1988-2017) data (EBTRK) at 0.25-degree (~27km) resolution, assigning a maximum observed windspeed value per grid cell per year, to which several extreme value distributions
(EVDs) are fit to the probability distribution function (PDF). The Generalized Pareto Distribution (GPD) is found to have the best fit to the EBTRK data, where fitting parameters are calculated based on these observations using the method of moments. We find
the EBTRK dataset, while more continuous and higher resolution than previous assessments, lacks sufficient observations for proper fit to an EVD and it appears to not fully consider the effect of surface roughness on TC wind speed. To address these issues,
we use 59,000 years of modeled TC winds produced by the Florida Public Loss Hurricane Model (FPLHM), which considers the effects of effective surface roughness on upstream winds on a fine scale (~90m) at locations of interest roughly every kilometer. The study
domain is narrowed down to the Tampa/Clearwater area of Florida for its various terrain and coastline features, from which six locations of varying terrain/coastline proximity are chosen. We reimplement the EVD fitting procedure to the FPLHM data, again finding
the GPD to be the best fit, and extrapolating out <i>T<sub>RP</sub></i> values for the most extreme TC winds at each location. Empirically calculated
<i>T<sub>RP</sub></i> values are also plotted for the entire domain to gain a sense of those associated patterns. We find
<i>T<sub>RP</sub></i> and subsequent expected winds can vary dramatically depending on effective surface roughness over distances at least as short as ~1km (the finest resolution of the modeled data), while distance inland independent of TC weakening plays
a lesser of a role after the first few kilometers. The results indicate a need for more accurate future
<i>T<sub>RP</sub></i> analyses that are both at a fine scale and incorporate effective surface roughness, which also points to the weakness in using historical data in areas with recent changes in land use.
<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">Shel McGuire<o:p></o:p></p>
<p class="MsoNormal">Florida State University<o:p></o:p></p>
<p class="MsoNormal">Academic Program Specialist<o:p></o:p></p>
<p class="MsoNormal">Department of Earth, Ocean, & Atmospheric Science<o:p></o:p></p>
<p class="MsoNormal">1011 Academic Way, 2019 EOA Building<o:p></o:p></p>
<p class="MsoNormal">Tallahassee, FL 32306<o:p></o:p></p>
<p class="MsoNormal">850-644-8582<o:p></o:p></p>
<p class="MsoNormal">To make an appointment please login to my.fsu.edu and choose the Campus Connect (CC) icon<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
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