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<ArticleSet>
<Article>
<Journal>
				<PublisherName>Institute of Geography, University of Tehran</PublisherName>
				<JournalTitle>Natural Environment Change</JournalTitle>
				<Issn>2476-4159</Issn>
				<Volume>1</Volume>
				<Issue>1</Issue>
				<PubDate PubStatus="epublish">
					<Year>2015</Year>
					<Month>07</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Impacts of climate change on extreme precipitation events in arid (Bandar Abbas) and semi-arid (Shahrekord) stations in Iran</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>85</FirstPage>
			<LastPage>94</LastPage>
			<ELocationID EIdType="pii">55071</ELocationID>
			
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Zahra</FirstName>
					<LastName>Jamali</LastName>
<Affiliation>MSc Graduated on Combatting Desertification, Hormozgan University, Bandar Abbas, Iran</Affiliation>

</Author>
<Author>
					<FirstName>Asadollah</FirstName>
					<LastName>Khoorani</LastName>
<Affiliation>Assistance Professor, Geography Department, Hormozgan University, Bandar Abbas, Iran</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2014</Year>
					<Month>12</Month>
					<Day>03</Day>
				</PubDate>
			</History>
		<Abstract>The aim of this paper is to project extreme precipitation events in an arid and a semiarid station. In order to project climate change based on general circulation models (GCMs), we have applied LARS-WG[1] downscaling tool. This stochastic weather generator down-scaled the climate of two synoptic stations using HADCM3 model and A2 emission scenario for 2040. We extracted extreme precipitation events, as daily 90&lt;sup&gt;th&lt;/sup&gt; and 10&lt;sup&gt;th&lt;/sup&gt; percentile for rainy days (considered if daily precipitation was greater than 1 mm), for based and projected data. The research outcomes showed an increase both in 90&lt;sup&gt;th&lt;/sup&gt; percentile by 13 mm and in 10&lt;sup&gt;th &lt;/sup&gt;percentile by 0.2 mm in arid station, Bandar Abbas. In the semiarid station, Shahrekord, the 90&lt;sup&gt;th &lt;/sup&gt;percentile precipitation increased by 6.1 mm and the 10&lt;sup&gt;th&lt;/sup&gt; percentile precipitation decreased by 3.4 mm. In total, for both stations, 90&lt;sup&gt;th&lt;/sup&gt; percentile precipitations showed a more stable trend than the 10&lt;sup&gt;th&lt;/sup&gt; percentile. &lt;br /&gt;&lt;br clear=&quot;all&quot; /&gt; &lt;br /&gt; &lt;br /&gt;1. Long Ashton Research Station-Weather Generator</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">10th percentile</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">90th percentile</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Hadcm3</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">LARS_WG</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">RMSE</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://jnec.ut.ac.ir/article_55071_202d2960923dbd9c44dc1b4818cde6b9.pdf</ArchiveCopySource>
</Article>
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