<?xml version="1.0" encoding="UTF-8"?><article>
	<front>
		<journal-meta>
			<journal-id journal-id-type="publisher">GJRA</journal-id>
			<journal-title>GJRA - Global Journal For Research Analysis</journal-title>
			<issn pub-type="ppub">2250 - 1991</issn>
			<publisher>
				<publisher-name>Indian Society for Health and Advanced Research</publisher-name>
			</publisher>
		</journal-meta>
		<article-meta>
			<article-id pub-id-type="other">gjra-3-1-1463</article-id>
			<article-categories>
				<subj-group>
					<subject>Original Research Paper</subject>
				</subj-group>
			</article-categories>
			<title-group>
				<article-title></article-title>
			</title-group>
			<contrib-group><contrib contrib-type="author">
						<name>
							<surname></surname>
							<given-names></given-names>
							<prefix>Dr.</prefix>
						</name>
						<xref ref-type="aff" rid="aff000">
							<sup></sup>
						</xref>
						</contrib></contrib-group><pub-date pub-type="ppub">
				<month>January</month>
				<year>2014</year>
			</pub-date>
			<volume>3</volume>
			<issue>1</issue>
			<fpage>01</fpage>
			<lpage>02</lpage>
			<abstract>
				<title>ABSTRACT</title>
				<p>The present study investigates the relation of temperature, rainfall and pressure anomaly of Cox&amp;rsquo;s Bazar situated at 
the southeastern Bangladesh with ENSO parameters and pressure anomalies at Tahiti, Darwin, Darwin minusTahiti 
and Darwin minus Cox&amp;rsquo;s Bazar. The strudy shows that the temperature and rainfall do not exhibit much of systematic relation with SOI. Both 
temperature and rainfall exhibit weak correlation with SST anomalies of Nino4 region. The correlations of the pressure anomaly of Darwin 
minus Tahiti and Darwin minus Cox&amp;rsquo;s Bazar are 0.47 with 5 and 11 months moving average data. Tahiti and Darwin pressure anomalies are 
strongly correlated with Cox&amp;rsquo;s Bazar. The pressure anomaly at Darwin fluctuates in opposite phase with Tahiti and Cox&amp;rsquo;s Bazar. These relations 
may be used for developing long term prediction model of south-east monsoon of Bangladesh coastal zone.</p>
			</abstract>			
			<counts>
				<ref-count count="7"/>
				<page-count count="2"/>
			</counts>
		</article-meta>
	</front>
</article>