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<div><font color="#000080"><b>Old Dominion University</b></font></div>
<div><font color="#000080"><b>Department of Physics</b></font></div>
<div><font color="#000080"><b>a</b><b>nd</b></font></div>
<div><font color="#000080"><b>Climate </b><b>C</b><b>hange and Sea Level Rise Initiative</b></font></div>
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<div><font color="#31849B"><b>Spring Colloquium Series</b></font></div>
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<div><font color="#17365D" size="5"><b>Tuesday April 17, 2012</b></font></div>
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<div><font color="#31849B" size="5"><b>"Impact of Water-Broadening on Atmospheric Remote Sensing of Carbon Dioxide"</b></font></div>
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<font color="#1F497D" size="5" face="Times New Roman, serif"><b>Dr. Daniel K. Havey<br>
Department of Chemistry and Biochemistry</b></font></font></div>
<div><font color="#1F497D" size="5"><b>James Madison University</b></font></div>
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<div><font size="3">Remote sensing of CO<font size="1">2</font>, an important greenhouse gas, requires high-fidelity reference data of spectral line parameters to be successful. In order to accurately determine
column-integrated concentrations of CO<font size="1">2</font>, satellite missions typically rely on optical spectra of both CO<font size="1">2 </font>and O<font size="1">2</font>. Measurements of O<font size="1">2 </font>are important because its concentration
is uniform and well-mixed in the atmosphere. Subsequently, measuring O<font size="1">2 </font>remotely allows determination of atmospheric path lengths. One potential source of bias in remote sensing missions aiming to measure CO<font size="1">2 </font>is the
influence of H<font size="1">2</font>O on the spectra of O<font size="1">2 </font>and/or CO<font size="1">2</font>. Water makes up approximately 1-4% of Earth’s lower atmosphere and can interfere with remote sensing measurements by (1) appearing as a direct
spectral interference or (2) acting as a foreign broadener for CO<font size="1">2 </font>and/or O<font size="1">2 </font>lines. Recent work by our group will be discussed which quantify water-broadening of CO<font size="1">2 </font>and O<font size="1">2 </font>with
modest uncertainty. Neglecting to include our results in retrieval algorithms will result in a complicated spatially and seasonally variable measurement bias. The planned colloquium will move through the basics of atmospheric remote sensing, discuss current
measurement needs and challenges, explain research results, and convey the atmospheric implications of those results.</font></div>
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<div><font size="4">Presentation: Physical Sciences Building II 1100 @ 3:00 pm</font></div>
<div><font size="4">Refreshments: 1st Floor Atrium @ 2:30 pm</font></div>
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<div><font size="4">More details at <a href="http://www.physics.odu.edu">
http://www.physics.odu.edu</a></font></div>
<div><font size="4">All are Welcome<font size="3">!</font></font></div>
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