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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>16</volume_number>
		<volume_title>Observation, Prediction and Verification of Precipitation (EGU Session 2007)</volume_title>
		<publication_year>2008</publication_year>
	</journal>
	<doi>10.5194/adgeo-16-3-2008</doi>
	<article_url>http://www.adv-geosci.net/16/3/2008/</article_url>
	<abstract_html>http://www.adv-geosci.net/16/3/2008/adgeo-16-3-2008.html</abstract_html>
	<fulltext_pdf>http://www.adv-geosci.net/16/3/2008/adgeo-16-3-2008.pdf</fulltext_pdf>
	<start_page>3</start_page>
	<end_page>9</end_page>
	<publication_date>2008-04-09</publication_date>
	<article_title content_type="html">A multiscale approach for precipitation verification applied to the FORALPS case studies</article_title>
	<authors>
		<author numeration="1" affiliations="1,2">
			<name>A. Lanciani</name>
		</author>
		<author numeration="2" affiliations="2,3">
			<name>S. Mariani</name>
		</author>
		<author numeration="3" affiliations="2">
			<name>M. Casaioli</name>
		</author>
		<author numeration="4" affiliations="4">
			<name>C. Accadia</name>
		</author>
		<author numeration="5" affiliations="5">
			<name>N. Tartaglione</name>
		</author>
	</authors>
	<affiliations>
		<affiliation numeration="1" content_type="html">Inter-Universities National Consortium for Physics of Atmospheres and Hydrospheres (CINFAI), Camerino, Italy</affiliation>
		<affiliation numeration="2" content_type="html">Agency for Environmental Protection and Technical Services (APAT), Rome, Italy</affiliation>
		<affiliation numeration="3" content_type="html">Mathematics Department, University of Ferrara, Ferrara, Italy</affiliation>
		<affiliation numeration="4" content_type="html">EUMETSAT, Darmstadt, Germany</affiliation>
		<affiliation numeration="5" content_type="html">Physics Department, University of Camerino, Camerino, Italy</affiliation>
	</affiliations>
	<abstract content_type="html">Multiscale methods, such as the power spectrum, are
suitable diagnostic tools for studying the second order statistics
of a gridded field. For instance, in the case of Numerical Weather
Prediction models, a drop in the power spectrum for a given scale
indicates the inability of the model to reproduce the variance of
the phenomenon below the correspondent spatial scale. Hence, these
statistics provide an insight into the real resolution of a gridded
field and must be accurately known for interpolation and downscaling
purposes. In this work, belonging to the EU INTERREG IIIB Alpine
Space FORALPS project, the power spectra of the precipitation fields
for two intense rain events, which occurred over the north-eastern
alpine region, have been studied in detail. A drop
in the power spectrum at the shortest scales (about 30 km) has been
found, as well as a strong matching between the precipitation
spectrum and the spectrum of the orography. Furthermore, it has also
been shown how the spectra help understand the behavior of the
skill scores traditionally used in Quantitative Precipitation
Forecast verification, as these are sensitive to the amount
of small scale detail present in the fields.</abstract>
	<references>
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</article>

