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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>7</volume_number>
		<issue_number>4</issue_number>
		<publication_year>2007</publication_year>
	</journal>
	<doi>10.5194/acpd-7-12289-2007</doi>
	<article_url>http://www.atmos-chem-phys-discuss.net/7/12289/2007/</article_url>
	<abstract_html>http://www.atmos-chem-phys-discuss.net/7/12289/2007/acpd-7-12289-2007.html</abstract_html>
	<fulltext_pdf>http://www.atmos-chem-phys-discuss.net/7/12289/2007/acpd-7-12289-2007.pdf</fulltext_pdf>
	<start_page>12289</start_page>
	<end_page>12326</end_page>
	<publication_date>2007-08-20</publication_date>
	<article_title content_type="html">Modelling the impact of sub-grid scale emission variability on upper-air concentration</article_title>
	<authors>
		<author numeration="1" affiliations="1">
			<name>S. Galmarini</name>
			<email>stefano.galmarini@jrc.it</email>
		</author>
		<author numeration="2" affiliations="1">
			<name>J.-F. Vinuesa</name>
		</author>
		<author numeration="3" affiliations="2">
			<name>A. Martilli</name>
		</author>
	</authors>
	<affiliations>
		<affiliation numeration="1" content_type="html">European Commission &amp;ndash; DG Joint Research Centre, Institute for Environment and Sustainability, 21020 Ispra, Italy</affiliation>
		<affiliation numeration="2" content_type="html">CIEMAT, Madrid, Spain</affiliation>
	</affiliations>
	<abstract content_type="html">The long standing issue of sub-grid emission heterogeneity and its influence
to upper air concentration is addressed here and a subgrid model proposed.
The founding concept of the approach is the assumption that average emission
acts as source terms of average concentration, while emission fluctuations are
source for the concentration variance. The model is based on the derivation
of the sub-grid contribution of emission and the use of the concentration
variance equation to transport it in the atmospheric boundary layer. The
model has been implemented in an existing mesoscale model and the results
compared with Large-Eddy Simulation data for ad-hoc simulation devised to
test specifically the parametrization. The results show and excellent
agreement of the models. For the first time a time evolving error bar
reproducing the sub-grid scale heterogeneity of the emissions and the way in
which it affects the concentration has been shown. The concentration variance
is presented as an extra attribute to better define the mean concentrations
in a Reynolds-average model. The model has applications from meso to global
scale and that go beyond air quality.</abstract>
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</article>

