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<article language="en">
	<journal>
		<journal_title>Hydrology and Earth System Sciences</journal_title>
		<journal_url>www.hydrol-earth-syst-sci.net</journal_url>
		<issn>1027-5606</issn>
		<eissn>1607-7938</eissn>
		<volume_number>13</volume_number>
		<issue_number>4</issue_number>
		<publication_year>2009</publication_year>
	</journal>
	<doi>10.5194/hess-13-441-2009</doi>
	<article_url>http://www.hydrol-earth-syst-sci.net/13/441/2009/</article_url>
	<abstract_html>http://www.hydrol-earth-syst-sci.net/13/441/2009/hess-13-441-2009.html</abstract_html>
	<fulltext_pdf>http://www.hydrol-earth-syst-sci.net/13/441/2009/hess-13-441-2009.pdf</fulltext_pdf>
	<start_page>441</start_page>
	<end_page>452</end_page>
	<publication_date>2009-04-07</publication_date>
	<article_title content_type="html">A space-time generator for rainfall nowcasting: the PRAISEST model</article_title>
	<authors>
		<author numeration="1" affiliations="1">
			<name>P. Versace</name>
		</author>
		<author numeration="2" affiliations="1">
			<name>B. Sirangelo</name>
		</author>
		<author numeration="3" affiliations="1">
			<name>D. L. De Luca</name>
		</author>
	</authors>
	<affiliations>
		<affiliation numeration="1" content_type="html">Dipartimento di Difesa del Suolo, Università della Calabria, Rende, Italy</affiliation>
	</affiliations>
	<abstract content_type="html">The paper introduces a stochastic technique for forecasting rainfall in
space-time domain: the PRAISEST Model (Prediction of Rainfall Amount Inside
Storm Events: Space and Time). The model is based on the assumption that the
rainfall height &lt;i&gt;H&lt;/i&gt; accumulated on an interval &amp;Delta;&lt;i&gt;t&lt;/i&gt; between the instants
&lt;i&gt;i&lt;/i&gt;&amp;Delta;&lt;i&gt;t&lt;/i&gt; and (i+1)&amp;Delta;&lt;i&gt;t&lt;/i&gt; and on a spatial cell of size
&amp;Delta;&lt;i&gt;x&lt;/i&gt;&amp;Delta;&lt;i&gt;y&lt;/i&gt; is correlated either with a variable &lt;i&gt;Z&lt;/i&gt;, representing
antecedent precipitation at the same point, either with a variable &lt;i&gt;W&lt;/i&gt;,
representing simultaneous rainfall at neighbour cells. The mathematical
background is given by a joined probability density &lt;i&gt;f&lt;/i&gt;&lt;sub&gt;&lt;i&gt;H,W,Z&lt;/i&gt;&lt;/sub&gt; (&lt;i&gt;h,w,z&lt;/i&gt;)
in which the variables have a mixed nature, that is a
finite probability for null value and infinitesimal probabilities for the
positive values. As study area, the Calabria region, in Southern Italy, has
been selected. The region has been discretised by 10 km&amp;times;10 km cell grid,
according to the raingauge network density in this area. Storm events
belonging to 1990–2004 period were analyzed to test performances of the
PRAISEST model.</abstract>
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</article>

