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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"">Alec Mau</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:26.0pt;font-family:"Monotype Corsiva"">M.S. Meteorology Candidate<o:p></o:p></span></p>
<p class="HTMLBody"><span style="font-size:11.0pt"><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> tropical-midlatitude interaction inferred from the shapes of annual cycles<span style="font-size:14.0pt"><o:p></o:p></span></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. Zhaohua Wu</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"> Friday, March 13, 2020
<b><u>Time</u>: 1:30 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="HTMLBody"><b><u><span style="font-size:14.0pt">Location</span></u></b><b><span style="font-size:14.0pt">:
</span></b><span style="font-size:14.0pt">Werner A. Baum Seminar Room (353 Love Building)<b><o:p></o:p></b></span></p>
<p class="MsoNormal"><b><o:p> </o:p></b></p>
<p class="MsoNormal" align="center" style="text-align:center"><b><o:p> </o:p></b></p>
<p class="MsoNormal" align="center" style="text-align:center"><b>ABSTRACT</b><b><span style="font-size:12.0pt"><o:p></o:p></span></b></p>
<p class="MsoNormal" align="center" style="text-align:center"><b><o:p> </o:p></b></p>
<p class="MsoNormal"><span style="font-size:14.0pt">A given location’s annual cycle of surface temperature is often used as a reference framework for climate anomalies through which the seasonal and interannual variability of the Earth’s climate system can
be quantified. Since local climate trends can be explained by the same fundamental physics that power a basic energy balance climate model, one of these models could theoretically simulate Earth’s land surface temperature trend and then be used to predict
its future evolution. Although general circulation models (GCMs) are considered the most accurate climate simulations, they are highly complex to diagnose direct responses from perturbations to individual parameters. This study focuses on building and parameterizing
a simplified conceptual energy balance climate model that will be tested to 1) simulate observational annual cycles to prove the model’s reasonable validity and 2) discover how Earth’s climate system in an energy balance framework is sensitive to the considered
parameters. Detailed explanations of the selected parameters surface albedo, greenhouse gas concentration and meridional heat transport are presented. Sensitivity testing of these parameters reveals that both tropical and midlatitude annual cycles are particularly
sensitive to the meridional heat transport rate, followed by moderate sensitivity to surface albedo and little sensitivity to the greenhouse gas parameter. As less tropical-midlatitude communication occurs with a weakening meridional temperature gradient,
the period of maximum heat transport lengthens, reflecting reduced midlatitude seasonal variability. Reduced seasonal variability is also apparent in annual cycles with small amplitudes. The results of this study demonstrate the usefulness of studying climate
through a simplified energy balance framework, even in a modern computer-intensive field with powerful GCMs.<span style="color:black"><o:p></o:p></span></span></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"><o:p> </o:p></p>
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