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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>5</issue_number>
		<publication_year>2008</publication_year>
	</journal>
	<doi>10.5194/acpd-8-18385-2008</doi>
	<article_url>http://www.atmos-chem-phys-discuss.net/8/18385/2008/</article_url>
	<abstract_html>http://www.atmos-chem-phys-discuss.net/8/18385/2008/acpd-8-18385-2008.html</abstract_html>
	<fulltext_pdf>http://www.atmos-chem-phys-discuss.net/8/18385/2008/acpd-8-18385-2008.pdf</fulltext_pdf>
	<start_page>18385</start_page>
	<end_page>18407</end_page>
	<publication_date>2008-10-21</publication_date>
	<article_title content_type="html">Relating observations of contrail persistence to numerical weather analysis output</article_title>
	<authors>
		<author numeration="1" affiliations="1">
			<name>D. P. Duda</name>
			<email>david.p.duda@nasa.gov</email>
		</author>
		<author numeration="2" affiliations="2">
			<name>R. Palikonda</name>
		</author>
		<author numeration="3" affiliations="3">
			<name>P. Minnis</name>
		</author>
	</authors>
	<affiliations>
		<affiliation numeration="1" content_type="html">National Institute of Aerospace, Hampton, VA, USA</affiliation>
		<affiliation numeration="2" content_type="html">Science Systems and Applications, Inc., Hampton, VA, USA</affiliation>
		<affiliation numeration="3" content_type="html">Science Directorate, NASA Langley Research Center, Hampton, VA, USA</affiliation>
	</affiliations>
	<abstract content_type="html">The potential for using high-resolution meteorological data from two
operational numerical weather analyses (NWA) to diagnose and predict
persistent contrail formation is evaluated using two independent contrail
observation databases. Contrail occurrence statistics derived from surface
and satellite observations between April 2004 and June 2005 are matched to
the humidity, vertical velocity, wind shear and atmospheric stability
derived from analyses from the Rapid Update Cycle (RUC) and the Advanced
Regional Prediction System (ARPS) models. The relationships between contrail
occurrence and the NWA-derived statistics are analyzed to determine under
which atmospheric conditions persistent contrail formation is favored within
NWAs. Humidity is the most important factor determining whether contrails
are short-lived or persistent, and persistent contrails are more likely to
appear when vertical velocities are positive, and more likely to spread when
the atmosphere is less stable. Although artificial upper limits on upper
tropospheric humidity within the NWAs prevent a direct quantitative
agreement of model data with contrail formation theory, logistic regression
or similar statistical methods may improve the prediction of contrail
occurrence.</abstract>
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</article>

