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	<title>Pam Frost Gorder &#187; Climate/Weather</title>
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	<link>http://pam.gorder.org</link>
	<description>Science Writer</description>
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		<title>Hurricane Forecasting: Reducing Future Losses</title>
		<link>http://pam.gorder.org/2005/11/01/hurricane-forecasting-reducing-future-losses/</link>
		<comments>http://pam.gorder.org/2005/11/01/hurricane-forecasting-reducing-future-losses/#comments</comments>
		<pubDate>Tue, 01 Nov 2005 05:00:04 +0000</pubDate>
		<dc:creator>Pam</dc:creator>
				<category><![CDATA[Climate/Weather]]></category>
		<category><![CDATA[Computing]]></category>
		<category><![CDATA[Physics]]></category>
		<category><![CDATA[Statistics]]></category>

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		<description><![CDATA[Scientists at University College London are looking beyond the question of how many hurricanes will form during a given season to ask how severe and how damaging the hurricanes that strike the US coast will be. The idea is to help people anticipate hurricane damage and all the effects that follow. In Katrina’s wake, knowing [...]]]></description>
			<content:encoded><![CDATA[<p>Scientists at University College London are looking beyond the question of how many hurricanes will form during a given season to ask how severe and how damaging the hurricanes that strike the US coast will be. The idea is to help people anticipate hurricane damage and all the effects that follow. In Katrina’s wake, knowing what to expect from a storm season—well in advance of a disaster—is more important than ever before. <a title="Hurricanes_CiSE.pdf" href="http://pam.gorder.org/clips/Hurricanes_CiSE.pdf">Full story (PDF)</a></p>
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		<title>Modeling El Niño: A Force Behind World Weather</title>
		<link>http://pam.gorder.org/2005/01/01/modeling-el-nino-a-force-behind-world-weather/</link>
		<comments>http://pam.gorder.org/2005/01/01/modeling-el-nino-a-force-behind-world-weather/#comments</comments>
		<pubDate>Sat, 01 Jan 2005 05:00:30 +0000</pubDate>
		<dc:creator>Pam</dc:creator>
				<category><![CDATA[Climate/Weather]]></category>
		<category><![CDATA[Computing]]></category>
		<category><![CDATA[Physics]]></category>
		<category><![CDATA[Statistics]]></category>

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		<description><![CDATA[Today, scientists can predict the Earth’s climate months ahead of time. A new synergy between two competing analysis methods is helping push forecasts out even further.  Full story (PDF)
]]></description>
			<content:encoded><![CDATA[<p>Today, scientists can predict the Earth’s climate months ahead of time. A new synergy between two competing analysis methods is helping push forecasts out even further.  <a title="El_Nino.pdf" href="http://pam.gorder.org/clips/El_Nino.pdf">Full story (PDF)</a></p>
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