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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>8</volume_number>
		<issue_number>6</issue_number>
		<publication_year>2008</publication_year>
	</journal>
	<doi>10.5194/acpd-8-19819-2008</doi>
	<article_url>http://www.atmos-chem-phys-discuss.net/8/19819/2008/</article_url>
	<abstract_html>http://www.atmos-chem-phys-discuss.net/8/19819/2008/acpd-8-19819-2008.html</abstract_html>
	<fulltext_pdf>http://www.atmos-chem-phys-discuss.net/8/19819/2008/acpd-8-19819-2008.pdf</fulltext_pdf>
	<start_page>19819</start_page>
	<end_page>19859</end_page>
	<publication_date>2008-11-26</publication_date>
	<article_title content_type="html">Springtime warming and reduced snow cover from carbonaceous particles</article_title>
	<authors>
		<author numeration="1" affiliations="1">
			<name>M. G. Flanner</name>
			<email>mflanner@ucar.edu</email>
		</author>
		<author numeration="2" affiliations="2">
			<name>C. S. Zender</name>
		</author>
		<author numeration="3" affiliations="1,3">
			<name>P. G. Hess</name>
		</author>
		<author numeration="4" affiliations="1,3">
			<name>N. M. Mahowald</name>
		</author>
		<author numeration="5" affiliations="4">
			<name>T. H. Painter</name>
		</author>
		<author numeration="6" affiliations="5">
			<name>V. Ramanathan</name>
		</author>
		<author numeration="7" affiliations="1">
			<name>P. J. Rasch</name>
		</author>
	</authors>
	<affiliations>
		<affiliation numeration="1" content_type="html">National Center for Atmospheric Research, Boulder CO, USA</affiliation>
		<affiliation numeration="2" content_type="html">University of California, Irvine CA, USA</affiliation>
		<affiliation numeration="3" content_type="html">Cornell University, Ithaca NY, USA</affiliation>
		<affiliation numeration="4" content_type="html">University of Utah, Salt Lake City UT, USA</affiliation>
		<affiliation numeration="5" content_type="html">Scripps Institute of Oceanography, University of California-San Diego, La Jolla CA, USA</affiliation>
	</affiliations>
	<abstract content_type="html">Boreal spring climate is uniquely susceptible to solar warming
  mechanisms because it has expansive snow cover and receives
  relatively strong insolation. Carbonaceous particles can influence
  snow coverage by warming the atmosphere, reducing surface-incident
  solar energy (&lt;i&gt;dimming&lt;/i&gt;), and reducing snow reflectance after
  deposition (&lt;i&gt;darkening&lt;/i&gt;). We apply a range of models and
  observations to explore impacts of these processes on springtime
  climate, drawing several conclusions: 1) Nearly all atmospheric
  particles (those with visible-band single-scatter albedo less than
  0.999), including all mixtures of black carbon (BC) and organic
  matter (OM), increase net solar heating of the atmosphere-snow
  column.  2) Darkening caused by small concentrations of particles
  within snow exceeds the loss of absorbed energy from concurrent
  dimming, thus increasing solar heating of snowpack as well (positive
  net surface forcing). Over global snow, we estimate 6-fold greater
  surface forcing from darkening than dimming, caused by BC+OM. 3)
  Equilibrium climate experiments suggest that fossil fuel and biofuel
  emissions of BC+OM induce 95% as much springtime snow cover loss
  over Eurasia as anthropogenic carbon dioxide, a consequence of
  strong snow-albedo feedback and large BC+OM emissions from Asia. 4)
  Of 22 climate models contributing to the IPCC Fourth Assessment
  Report, 21 underpredict the rapid warming (0.64&amp;deg;C decade&lt;sup&gt;&amp;minus;1&lt;/sup&gt;)
  observed over springtime Eurasia since 1979. Darkening from natural
  and anthropogenic sources of BC and mineral dust exerts 3-fold
  greater forcing on springtime snow over Eurasia (3.9  W m&lt;sup&gt;&amp;minus;2&lt;/sup&gt;) than
  North America (1.2 W m&lt;sup&gt;&amp;minus;2&lt;/sup&gt;). Inclusion of this forcing
  significantly improves simulated continental warming trends, but
  does not reconcile the low bias in rate of Eurasian spring snow
  cover decline exhibited by all models.</abstract>
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