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<article language="en">
	<journal>
		<journal_title>Advances in Geosciences</journal_title>
		<journal_url>www.adv-geosci.net</journal_url>
		<issn>1680-7340</issn>
		<eissn>1680-7359</eissn>
		<volume_number>7</volume_number>
		<volume_title>7th Plinius Conference on Mediterranean Storms (2005)</volume_title>
		<publication_year>2006</publication_year>
	</journal>
	<doi>10.5194/adgeo-7-25-2006</doi>
	<article_url>http://www.adv-geosci.net/7/25/2006/</article_url>
	<abstract_html>http://www.adv-geosci.net/7/25/2006/adgeo-7-25-2006.html</abstract_html>
	<fulltext_pdf>http://www.adv-geosci.net/7/25/2006/adgeo-7-25-2006.pdf</fulltext_pdf>
	<start_page>25</start_page>
	<end_page>29</end_page>
	<publication_date>2006-01-23</publication_date>
	<article_title content_type="html">Advances in the WRF model for convection-resolving forecasting</article_title>
	<authors>
		<author numeration="1" affiliations="1">
			<name>J. B. Klemp</name>
		</author>
	</authors>
	<affiliations>
		<affiliation numeration="1" content_type="html">National Center for Atmospheric Research, P.O. Box 3000, Boulder, Colorado, USA</affiliation>
	</affiliations>
	<abstract content_type="html">The Weather Research and Forecasting (WRF) Model has been designed to be an
efficient and flexible simulation system for use across a broad range of
weather-forecast and idealized-research applications. Of particular interest
is the use of WRF in nonhydrostatic applications in which moist-convective
processes are treated explicitly, thereby avoiding the ambiguities of
cumulus parameterization. To evaluate the capabilities of WRF for
convection-resolving applications, real-time forecasting experiments have
been conducted with 4 km horizontal mesh spacing for both convective systems
in the central U.S. and for hurricanes approaching landfall in the
southeastern U.S. These forecasts demonstrate a good potential for improving
the forecast accuracy of the timing and location of these systems, as well
as providing more detailed information on their structure and evolution that
is not available in current coarser resolution operational forecast models.</abstract>
	<references>
	</references>
</article>

