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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>1</issue_number>
		<publication_year>2008</publication_year>
	</journal>
	<doi>10.5194/acpd-8-2771-2008</doi>
	<article_url>http://www.atmos-chem-phys-discuss.net/8/2771/2008/</article_url>
	<abstract_html>http://www.atmos-chem-phys-discuss.net/8/2771/2008/acpd-8-2771-2008.html</abstract_html>
	<fulltext_pdf>http://www.atmos-chem-phys-discuss.net/8/2771/2008/acpd-8-2771-2008.pdf</fulltext_pdf>
	<start_page>2771</start_page>
	<end_page>2793</end_page>
	<publication_date>2008-02-12</publication_date>
	<article_title content_type="html">Sea surface wind speed estimation from space-based lidar measurements</article_title>
	<authors>
		<author numeration="1" affiliations="1">
			<name>Y. Hu</name>
			<email>yongxiang.hu-1@nasa.gov</email>
		</author>
		<author numeration="2" affiliations="2">
			<name>K. Stamnes</name>
		</author>
		<author numeration="3" affiliations="1">
			<name>M. Vaughan</name>
		</author>
		<author numeration="4" affiliations="3">
			<name>J. Pelon</name>
		</author>
		<author numeration="5" affiliations="4">
			<name>C. Weimer</name>
		</author>
		<author numeration="6" affiliations="5">
			<name>D. Wu</name>
		</author>
		<author numeration="7" affiliations="1">
			<name>M. Cisewski</name>
		</author>
		<author numeration="8" affiliations="1">
			<name>W. Sun</name>
		</author>
		<author numeration="9" affiliations="6">
			<name>P. Yang</name>
		</author>
		<author numeration="10" affiliations="1">
			<name>B. Lin</name>
		</author>
		<author numeration="11" affiliations="1">
			<name>A. Omar</name>
		</author>
		<author numeration="12" affiliations="1">
			<name>D. Flittner</name>
		</author>
		<author numeration="13" affiliations="1">
			<name>C. Hostetler</name>
		</author>
		<author numeration="14" affiliations="1">
			<name>C. Trepte</name>
		</author>
		<author numeration="15" affiliations="1">
			<name>D. Winker</name>
		</author>
		<author numeration="16" affiliations="1">
			<name>G. Gibson</name>
		</author>
		<author numeration="17" affiliations="1">
			<name>M. Santa-Maria</name>
		</author>
	</authors>
	<affiliations>
		<affiliation numeration="1" content_type="html">Climate Science Branch, NASA Langley Research Center, Hampton, VA, USA</affiliation>
		<affiliation numeration="2" content_type="html">Dept. of Physics and Enginerring, Stevens Institute of Tech., Hoboken, NJ ,USA</affiliation>
		<affiliation numeration="3" content_type="html">Université Pierre et Marie Curie, Service d&apos;Aeronomie/IPSL, Paris, France</affiliation>
		<affiliation numeration="4" content_type="html">Ball Aerospace &amp; Technologies Corp., Boulder, CO, USA</affiliation>
		<affiliation numeration="5" content_type="html">The Key Laboratory of Ocean Remote Sensing, Ocean University of China, Qingdao, China</affiliation>
		<affiliation numeration="6" content_type="html">Dept. of Atmospheric Sciences, Texas A. &amp; M. University, College Station Commerce Street,TX, USA</affiliation>
	</affiliations>
	<abstract content_type="html">Global satellite observations of lidar backscatter measurements acquired by
the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation
(CALIPSO) mission and collocated sea surface wind speed data from the
Advanced Microwave Scanning Radiometer for the Earth Observing System
(AMSR-E), are used to investigate the relation between wind driven wave
slope variance and sea surface wind speed. The new slope variance &amp;ndash; wind
speed relation established from this study is similar to the linear relation
from Cox-Munk (1954) and the log-linear relation from Wu (1972, 1990) for
wind speed larger than 7 m/s and 13.3 m/s, respectively. For wind speed less
than 7 m/s, the slope variance is proportional to the square root of the
wind speed, assuming a two dimensional isotropic Gaussian wave slope
distribution. This slope variance &amp;ndash; wind speed relation becomes linear if a
one dimensional Gaussian wave slope distribution is assumed. Contributions
from whitecaps and subsurface backscattering are effectively removed by
using 532 nm lidar depolarization measurements. This new slope variance &amp;ndash;
wind speed relation is used to derive sea surface wind speed from CALIPSO
single shot lidar measurements (70 m spot size), after correcting for
atmospheric attenuation. The CALIPSO wind speed result agrees with the
collocated AMSR-E wind speed, with 1.2 m/s rms error.</abstract>
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</article>

