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<article language="en">
	<journal>
		<journal_title>Natural Hazards and Earth System Science</journal_title>
		<journal_url>www.nat-hazards-earth-syst-sci.net</journal_url>
		<issn>1561-8633</issn>
		<eissn>1684-9981</eissn>
		<volume_number>9</volume_number>
		<issue_number>1</issue_number>
		<publication_year>2009</publication_year>
	</journal>
	<doi>10.5194/nhess-9-241-2009</doi>
	<article_url>http://www.nat-hazards-earth-syst-sci.net/9/241/2009/</article_url>
	<abstract_html>http://www.nat-hazards-earth-syst-sci.net/9/241/2009/nhess-9-241-2009.html</abstract_html>
	<fulltext_pdf>http://www.nat-hazards-earth-syst-sci.net/9/241/2009/nhess-9-241-2009.pdf</fulltext_pdf>
	<start_page>241</start_page>
	<end_page>250</end_page>
	<publication_date>2009-02-26</publication_date>
	<article_title content_type="html">Indices of precipitation extremes in Southern Portugal – a geostatistical approach</article_title>
	<authors>
		<author numeration="1" affiliations="1">
			<name>R. Durão</name>
			<email>rmdurao@ist.utl.pt</email>
		</author>
		<author numeration="2" affiliations="1">
			<name>M. J. Pereira</name>
		</author>
		<author numeration="3" affiliations="2">
			<name>A. C. Costa</name>
		</author>
		<author numeration="4" affiliations="3">
			<name>J. M. Côrte-Real</name>
		</author>
		<author numeration="5" affiliations="1">
			<name>A. Soares</name>
		</author>
	</authors>
	<affiliations>
		<affiliation numeration="1" content_type="html">CERENA, Instituto Superior Técnico, Lisboa, Portugal</affiliation>
		<affiliation numeration="2" content_type="html">ISEGI, Universidade Nova de Lisboa, Lisboa, Portugal</affiliation>
		<affiliation numeration="3" content_type="html">ICAM, Universidade de Évora, Évora, Portugal</affiliation>
	</affiliations>
	<abstract content_type="html">Most of the actual studies and previews of future rainfall patterns, based on
past observed records for Mediterranean climate areas, focus on the decline
of the rainfall amounts over the years, and also on the increase of the
frequency of heavy/intense rainfall events particularly in the winter season.
These changes in heavy rainfall events may have severe implications and
impacts on soil erosion resulting in increased soil degradation risks.
&lt;br&gt;&lt;br&gt;
The objective of the present work is to evaluate the spatial distribution of
extreme precipitation events in Southern Portugal, using a geostatistical
approach to assess the relationships between spatial and temporal extreme
rainfall patterns. The used dataset comprises a set of 105 stations&apos; records
of daily precipitation within the period 1960–1999. Two indices of extreme
precipitation were selected to be computed based on the daily precipitation
observation series: one representing the frequency of extremely heavy
precipitation events (R30) and another one characterizing flood events (R5D).
&lt;br&gt;&lt;br&gt;
The space-time patterns of the precipitation indices were evaluated and
simulated using a geostatistical approach. Despite no significant temporal
trends were detected on the calculated indices series, the space-time decadal
patterns are becoming more continuous in the last two decades than the
previous ones.</abstract>
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</article>

