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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>4</issue_number>
		<publication_year>2008</publication_year>
	</journal>
	<doi>10.5194/acpd-8-13667-2008</doi>
	<article_url>http://www.atmos-chem-phys-discuss.net/8/13667/2008/</article_url>
	<abstract_html>http://www.atmos-chem-phys-discuss.net/8/13667/2008/acpd-8-13667-2008.html</abstract_html>
	<fulltext_pdf>http://www.atmos-chem-phys-discuss.net/8/13667/2008/acpd-8-13667-2008.pdf</fulltext_pdf>
	<start_page>13667</start_page>
	<end_page>13688</end_page>
	<publication_date>2008-07-17</publication_date>
	<article_title content_type="html">The von Kármán constant retrieved from CASE-97 dataset using a  variational method</article_title>
	<authors>
		<author numeration="1" affiliations="1">
			<name>Y. Zhang</name>
		</author>
		<author numeration="2" affiliations="2">
			<name>J. Ma</name>
			<email>Jianmin.ma@ec.gc.ca</email>
		</author>
		<author numeration="3" affiliations="3">
			<name>Z. Cao</name>
		</author>
	</authors>
	<affiliations>
		<affiliation numeration="1" content_type="html">Zhuhai Air Traffic Management Station CAAC, Zhuhai International Airport, Sanzao, Zhuhai 519040, Guangdong, P. R. China</affiliation>
		<affiliation numeration="2" content_type="html">Air Quality Research Division, Science and Technology Branch, Environment Canada, 4905 Dufferin Street, Toronto, Ontario M3H 5T4, Canada</affiliation>
		<affiliation numeration="3" content_type="html">Meteorological Service of Canada, 4905 Dufferin Street, Toronto, Ontario M3H 5T4, Canada</affiliation>
	</affiliations>
	<abstract content_type="html">A variational method is developed to retrieve the von Kármán constant
κ from the CASES-97 dataset, collected near Wichita, Kansas, the
United States from 6 April to 24 May 1997. In the variational method, a cost
function is defined to measure the difference between observed and computed
gradients of wind speed, air temperature and specific humidity. An optimal
estimated von Kármán constant is obtained by minimizing the cost
function through adjusting values of the von Kármán constant. Under
neutral stratification, the variational analysis confirms the conventional
value of κ(=0.40). For non-neutral stratification, however, κ
varies with stability. The computational results show that the κ
decreases monotonously from stable to unstable stratification. The
variational calculated mean value of the von Kármán constant is 0.390
when the atmospheric stratification is taken into consideration. Relations
between κ and surface momentum and heat flux are also examined.</abstract>
	<references>
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</article>

