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	<event:Event rdf:about="http://ebiquity.umbc.edu/event/html/id/229/Gridded-Outgoing-Longwave-Radiation-using-the-Atmospheric-Infrared-Sounder">
		<rdfs:label><![CDATA[Gridded Outgoing Longwave Radiation using the Atmospheric Infrared Sounder]]></rdfs:label>
		<event:title><![CDATA[Gridded Outgoing Longwave Radiation using the Atmospheric Infrared Sounder]]></event:title>
		<event:speaker>
<person:PhDAlumnus rdf:about="http://ebiquity.umbc.edu/person/html/David/Chapman"><person:name><![CDATA[David Chapman]]></person:name><rdfs:label><![CDATA[David Chapman]]></rdfs:label></person:PhDAlumnus>
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		<event:startDate rdf:datatype="&xsd;dateTime">2008-02-19T10:00:00-05:00</event:startDate>
		<event:location><![CDATA[325 ITE]]></event:location>
		<event:abstract><![CDATA[Outgoing Longwave Radiation(OLR) is an infrared satellite measurement of earth, and is used successfully to observe climate processes such as the Madden Julian Oscillation.  The Atmospheric Infrared Sounder(AIRS) is a five year old high-tech satellite instrument to measure OLR.  AIRS is 500x more accurate in spectral resolution than the popular 30 year old AVHRR instrument.  Unfortunately, AIRS OLR is not frequently used in climate studies, because no processing system exists to reproject and average hundreds of terabytes of AIRS data to a lat-lon coordinate system.  Service Oriented Atmospheric Radiances (SOAR) uses parallel processing to allow for efficient reprojection and averaging to any grid resolution necessary for the desired climate study.  I will emphasize a work in process integral equation to solve the problem of non point measurement radiances, and will be soliciting input about my proposed algorithms to solve the integral.]]></event:abstract>
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