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		<title>Lidar That Knows What It Is Looking At Cuts Beijing PM2.5 Profile Errors by 38 Percent</title>
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		<pubDate>Sat, 17 Oct 2026 03:19:43 +0000</pubDate>
				<category><![CDATA[Technology]]></category>
		<category><![CDATA[aerosol classification]]></category>
		<category><![CDATA[anthropogenic pollution aerosols]]></category>
		<category><![CDATA[Atmospheric Measurement Techniques]]></category>
		<category><![CDATA[atmospheric remote sensing]]></category>
		<category><![CDATA[Beijing air quality]]></category>
		<category><![CDATA[boundary layer]]></category>
		<category><![CDATA[depolarization ratio]]></category>
		<category><![CDATA[desert dust]]></category>
		<category><![CDATA[extinction coefficient]]></category>
		<category><![CDATA[fluorescence lidar]]></category>
		<category><![CDATA[LiDAR]]></category>
		<category><![CDATA[PM2.5]]></category>
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					<description><![CDATA[A fluorescence-Raman-Mie polarization lidar method that classifies aerosols by shape and fluorescence before converting extinction to PM2.5 cut retrieval errors by 38 percent in Beijing validation tests.]]></description>
		
		
		
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