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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>7</volume_number>
		<issue_number>4</issue_number>
		<publication_year>2007</publication_year>
	</journal>
	<doi>10.5194/acpd-7-10323-2007</doi>
	<article_url>http://www.atmos-chem-phys-discuss.net/7/10323/2007/</article_url>
	<abstract_html>http://www.atmos-chem-phys-discuss.net/7/10323/2007/acpd-7-10323-2007.html</abstract_html>
	<fulltext_pdf>http://www.atmos-chem-phys-discuss.net/7/10323/2007/acpd-7-10323-2007.pdf</fulltext_pdf>
	<start_page>10323</start_page>
	<end_page>10342</end_page>
	<publication_date>2007-07-18</publication_date>
	<article_title content_type="html">CUACE/Dust &amp;ndash; an integrated system of observation and modeling systems for operational dust forecasting in Asia</article_title>
	<authors>
		<author numeration="1" affiliations="1,2">
			<name>S. L. Gong</name>
			<email>sunling.gong@ec.gc.ca</email>
		</author>
		<author numeration="2" affiliations="1">
			<name>X. Y. Zhang</name>
		</author>
	</authors>
	<affiliations>
		<affiliation numeration="1" content_type="html">Centre for Atmosphere Watch and Services of CMA, Chinese Academy of Meteorological Sciences, Beijing 100081, 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>
	</affiliations>
	<abstract content_type="html">An integrated sand and dust storm (SDS) forecasting system &amp;ndash; CUACE/Dust
(the Chinese Unified Atmospheric Chemistry Environment for Dust) has been
developed, which consists of a comprehensive dust aerosol module with
emission, dry/wet depositions and other atmospheric dynamic processes, and a
data assimilation system (DAS) using observational data from the CMA (China
Meteorological Administration) ground dust monitoring network and retrieved
dust information from a Chinese geostationary satellite &amp;ndash; FY-2C. This is
the first time that a combination of surface network observations and
satellite retrievals of the dust aerosol has been successfully used in the
real time operational forecasts in East Asia through a DAS. During its
application for the operational SDS forecasts in East Asia for spring 2006,
this system captured the major 31 SDS episodes observed by both surface and
satellite observations. Analysis shows that the seasonal mean threat score
(TS) for 0&amp;ndash;24 h forecast over the East Asia in spring 2006 increased from
0.22 to 0.31 by using the DAS, a 41% enhancement. The time series of the
forecasted dust concentrations for a number of representative stations for
the whole spring 2006 were also evaluated against the surface PM10
monitoring data, showing a very good agreement in terms of the SDS timing
and magnitudes near source regions where dust aerosols dominate. This is a
summary paper for a special issue of ACP featuring the development and
results of the forecasting system.</abstract>
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</article>

