<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd">
<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" article-type="research-article" dtd-version="3.0" xml:lang="en">
<front>
<journal-meta>
<journal-id journal-id-type="publisher">ACPD</journal-id>
<journal-title-group>
<journal-title>Atmospheric Chemistry and Physics Discussions</journal-title>
<abbrev-journal-title abbrev-type="publisher">ACPD</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">1680-7375</issn>
<publisher><publisher-name>Copernicus GmbH</publisher-name>
<publisher-loc>Göttingen, Germany</publisher-loc>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.5194/acpd-6-401-2006</article-id>
<title-group>
<article-title>Aerosol chemical and optical properties over the Paris area within ESQUIF project</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Hodzic</surname>
<given-names>A.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Vautard</surname>
<given-names>R.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Chazette</surname>
<given-names>P.</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Menut</surname>
<given-names>L.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Bessagnet</surname>
<given-names>B.</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>Laboratoire de M&amp;eacute;t&amp;eacute;orologie Dynamique, Institut Pierre-Simon Laplace, Palaiseau, France</addr-line>
</aff>
<aff id="aff2">
<label>2</label>
<addr-line>Laboratoire des Sciences du Climat et de l’Environnement, Institut Pierre-Simon Laplace, Gif sur Yvette, France</addr-line>
</aff>
<aff id="aff3">
<label>3</label>
<addr-line>Institut National de l’Environnement Industriel et des Risques, INERIS, Verneuil en Halatte, France</addr-line>
</aff>
<pub-date pub-type="epub">
<day>03</day>
<month>01</month>
<year>2006</year>
</pub-date>
<volume>6</volume>
<issue>1</issue>
<fpage>401</fpage>
<lpage>454</lpage>
<permissions>
<license xlink:type="simple">
<license-p>This is an open-access article ditributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.</license-p>
</license>
</permissions>
<self-uri xlink:href="http://www.atmos-chem-phys-discuss.net/6/401/2006/acpd-6-401-2006.html">This article is available from http://www.atmos-chem-phys-discuss.net/6/401/2006/acpd-6-401-2006.html</self-uri>
<self-uri xlink:href="http://www.atmos-chem-phys-discuss.net/6/401/2006/acpd-6-401-2006.pdf">The full text article is available as a PDF file from http://www.atmos-chem-phys-discuss.net/6/401/2006/acpd-6-401-2006.pdf</self-uri>
<abstract>
<p>Aerosol chemical and optical properties are extensively investigated for the
first time over the Paris Basin in July 2000 within the ESQUIF project. The
measurement campaign offers an exceptional framework to evaluate the
performances of the chemistry-transport model CHIMERE in simulating
concentrations of gaseous and aerosol pollutants, as well as the
aerosol-size distribution and composition in polluted urban environment
against ground-based and airborne measurements. A detailed comparison of
measured and simulated variables during the second half of July with
particular focus on 19 and 31 pollution episodes reveals an overall good
agreement for gas-species and aerosol components both at the ground level
and along flight trajectories, and the absence of systematic biases in
simulated meteorological variables such as wind speed, relative humidity and
boundary layer height as computed by the MM5 model. A good consistency in
ozone and NO concentrations demonstrates the ability of the model to
reproduce fairly well the plume structure and location both on 19 and 31
July, despite an underestimation of the amplitude of ozone concentrations on
31 July. The spatial and vertical aerosol distributions are also examined by
comparing simulated and observed lidar vertical profiles along flight
trajectories on 31 July and confirmed the model capacity to simulate the
plume characteristics. The comparison of observed and modeled aerosol
components in the southwest suburb of Paris during the second half of July
indicated that the aerosol composition is rather correctly reproduced,
although the total aerosol mass is underestimated of about 20%. The
simulated Parisian aerosol is dominated by primary particulate matter that
accounts for anthropogenic and biogenic primary particles (40%) and
inorganic aerosol fraction (40%) including nitrate (8%), sulfate
(22%) and ammonium (10%). The secondary organic aerosols (SOA)
represent 12% of the total aerosol mass, while the mineral dust accounts
for 8%. The comparison demonstrated the absence of systematic errors in
the simulated sulfate, ammonium and nitrates total concentrations. However
for nitrates the observed partition between fine and coarse mode is not
reproduced. In CHIMERE there is a clear lack of coarse-mode nitrates. This
calls for additional parameterizations in order to account for the
heterogeneous formation of nitrate onto dust particles. Larger discrepancies
are obtained for the secondary organic aerosols due to both inconsistencies
in the SOA formation processes in the model leading to an underestimation of
their mass and large uncertainties in the determination of the measured
aerosol organic fraction. The observed mass distribution of aerosols is not
well reproduced, although no clear explanation can be given.</p>
</abstract>
<counts><page-count count="54"/></counts>
</article-meta>
</front>
<body/>
<back>
</back>
</article>