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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>6</issue_number>
		<publication_year>2009</publication_year>
	</journal>
	<doi>10.5194/acpd-9-24317-2009</doi>
	<article_url>http://www.atmos-chem-phys-discuss.net/9/24317/2009/</article_url>
	<abstract_html>http://www.atmos-chem-phys-discuss.net/9/24317/2009/acpd-9-24317-2009.html</abstract_html>
	<fulltext_pdf>http://www.atmos-chem-phys-discuss.net/9/24317/2009/acpd-9-24317-2009.pdf</fulltext_pdf>
	<start_page>24317</start_page>
	<end_page>24360</end_page>
	<publication_date>2009-11-16</publication_date>
	<article_title content_type="html">Sources of uncertainties in modelling Black Carbon at the global scale</article_title>
	<authors>
		<author numeration="1" affiliations="1">
			<name>E. Vignati</name>
			<email>elisabetta.vignati@jrc.ec.europa.eu</email>
		</author>
		<author numeration="2" affiliations="1,5">
			<name>M. Karl</name>
		</author>
		<author numeration="3" affiliations="2,3">
			<name>M. Krol</name>
		</author>
		<author numeration="4" affiliations="1">
			<name>J. Wilson</name>
		</author>
		<author numeration="5" affiliations="4">
			<name>P. Stier</name>
		</author>
		<author numeration="6" affiliations="1">
			<name>F. Cavalli</name>
		</author>
	</authors>
	<affiliations>
		<affiliation numeration="1" content_type="html">European Commission, Joint Research Centre, Institute for Environment and Sustainability, Ispra, Italy</affiliation>
		<affiliation numeration="2" content_type="html">Netherlands Institute for Space Research (SRON), Utrecht, The Netherlands</affiliation>
		<affiliation numeration="3" content_type="html">Wageningen University and Research Centre, Wageningen, The Netherlands</affiliation>
		<affiliation numeration="4" content_type="html">Atmospheric, Oceanic and Planetary Physics, Department of Physics, University of Oxford, Oxford, UK</affiliation>
		<affiliation numeration="5" content_type="html">now at: Norwegian Institute for Air Research, Kjeller, Norway</affiliation>
	</affiliations>
	<abstract content_type="html">Our understanding of the global black carbon cycle is essentially
qualitative due to uncertainties in our knowledge of the properties of black
carbon. This work investigates uncertainties related to modelling black
carbon: due to the use of different schemes for BC ageing and its removal
rate in the global Transport-Chemistry model TM5 and due to the
uncertainties in the definition and quantification of observed black carbon,
which propagate through to both the emission inventories, and the
measurements used for the model evaluation.
&lt;br&gt;&lt;br&gt;
The schemes for the atmospheric processing of black carbon that have been
tested with the model are (i) a simple approach considering black carbon as
bulk aerosol and a simple treatment in the removal and (ii) a more complete
description of microphysical aging within an aerosol dynamics model, where
removal is coupled to the microphysical properties of the aerosol. In the
first approach a fixed 70% of black carbon is scavenged in clouds and
removed when rain is present. The second leads to a global average of 40%
black carbon that is scavenged in clouds and subsequently removed by rain,
thus resulting in a longer lifetime. This difference is reflected in
comparisons between both sets of modelled results and the measurements.
Close to the sources, both anthropogenic and vegetation fire source regions,
the model results do not differ significantly, showing that the emissions
are the prevailing mechanism determining the concentrations and the choice
of the aerosol scheme does not influence the levels. In more remote areas
such as oceanic and polar regions the differences can be orders of
magnitude, due to the differences between the two schemes. The more complete
description reproduces the seasonal trend of the black carbon observations
in those areas, although not always the magnitude of the signal, while the
more simplified approach underestimates black carbon concentrations by
orders of magnitude.
&lt;br&gt;&lt;br&gt;
The sensitivity to wet scavenging has been tested varying in-cloud and
below-cloud removals. BC lifetime increases by 10% when large scale and
convective scale precipitation are reduced by 30%, while the variation is
very small when below-cloud scavenging is zero.
&lt;br&gt;&lt;br&gt;
Since the emission inventories are representative of elemental carbon-like
substance, the model output should be compared to elemental carbon
measurements, and, if known, the ratio of black carbon to elemental carbon
mass should be taken into account when the model is compared with black
carbon observations.</abstract>
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</article>

