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<article language="en">
	<journal>
		<journal_title>Atmospheric Chemistry and Physics Discussions</journal_title>
		<journal_url>www.atmos-chem-phys-discuss.net</journal_url>
		<issn>1680-7367</issn>
		<eissn>1680-7375</eissn>
		<volume_number>9</volume_number>
		<issue_number>3</issue_number>
		<publication_year>2009</publication_year>
	</journal>
	<doi>10.5194/acpd-9-13475-2009</doi>
	<article_url>http://www.atmos-chem-phys-discuss.net/9/13475/2009/</article_url>
	<abstract_html>http://www.atmos-chem-phys-discuss.net/9/13475/2009/acpd-9-13475-2009.html</abstract_html>
	<fulltext_pdf>http://www.atmos-chem-phys-discuss.net/9/13475/2009/acpd-9-13475-2009.pdf</fulltext_pdf>
	<start_page>13475</start_page>
	<end_page>13521</end_page>
	<publication_date>2009-06-18</publication_date>
	<article_title content_type="html">Assessment of vertically-resolved PM&lt;sub&gt;10&lt;/sub&gt; from mobile lidar observations</article_title>
	<authors>
		<author numeration="1" affiliations="1">
			<name>J.-C. Raut</name>
			<email>jean-christophe.raut@lmd.polytechnique.fr</email>
		</author>
		<author numeration="2" affiliations="2">
			<name>P. Chazette</name>
		</author>
	</authors>
	<affiliations>
		<affiliation numeration="1" content_type="html">Laboratoire de MÃ©tÃ©orologie Dynamique, Ecole Polytechnique, 91128 Palaiseau, France</affiliation>
		<affiliation numeration="2" content_type="html">Laboratoire des Sciences du Climat et de l&apos;Environnement, Laboratoire mixte CEA-CNRS-UVSQ, CEA Saclay, 91191 Gif-sur-Yvette, France</affiliation>
	</affiliations>
	<abstract content_type="html">We investigate in this study the role of the Paris Peripherique (the ring
around Paris agglomeration) in local particulate pollution and the
horizontal gradient of pollution between Paris centre and its remote
suburbs. For this purpose, we combine in situ surface measurements with
active remote sensing observations obtained from a great number of research
programs in Paris area since 1999. Two approaches, devoted to the conversion
of vertical profiles of lidar-derived extinction coefficients into PM&lt;sub&gt;10&lt;/sub&gt;,
have been set up. A very good agreement is found between the theoretical and
empirical methods with a discrepancy of 3%. Hence, specific extinction
cross-sections at 355 nm are provided with a reasonable uncertainty for
urban (4.5 m&lt;sup&gt;2&lt;/sup&gt;/g), periurban (5.9 m&lt;sup&gt;2&lt;/sup&gt;/g), rural (7.1 m&lt;sup&gt;2&lt;/sup&gt;/g),
biomass burning (2.6 m&lt;sup&gt;2&lt;/sup&gt;/g) and dust (1.1 m&lt;sup&gt;2&lt;/sup&gt;/g) aerosols. The high
spatial and temporal resolutions of the mobile lidar (respectively 1.5 m and
1 min) enable to follow the spatiotemporal variability of various layers
carrying aerosols in the troposphere. Appropriate specific extinction
cross-sections are applied in each layer detected in the vertical
heterogeneities from the lidar profiles. The standard deviation between
lidar-derived PM&lt;sub&gt;10&lt;/sub&gt; at 200 m above ground and surface network stations
measurements was ~14 Î¼g m&lt;sup&gt;&amp;minus;3&lt;/sup&gt;. This difference is particularly
ascribed to a decorrelation of mass concentrations in the first meters of
the boundary layer, as highlighted through multiangular lidar observations.
Lidar signals can be used to follow mass concentrations at the surface and
provide useful information on PM&lt;sub&gt;10&lt;/sub&gt; peak forecasting that affect air quality.</abstract>
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