%0 Journal Article
%T Comparative Study for ECHAM5 and SDSM in Downscaling Temperature for a Geo-Climatically Diversified Region, Pakistan
%A Dildar Hussain Kazmi
%A Ghulam Rasul
%A Jianping Li
%A Suhail Babar Cheema
%J Applied Mathematics
%P 137-143
%@ 2152-7393
%D 2014
%I Scientific Research Publishing
%R 10.4236/am.2014.51016
%X <p class=\"MsoNormal\">
	<span lang=\"EN-US\">Pakistan is a country with </span>diversified feat<span lang=\"EN-US\">ures in terms of geography and climate. It is an agriculture
based country, mainly dependent</span><span lang=\"EN-US\"> </span><span lang=\"EN-US\">on Indus
water system. In Pakistan</span><span lang=\"EN-US\">, </span><span lang=\"EN-US\">there
are loftyplateaus</span><span lang=\"EN-US\"> </span><span lang=\"EN-US\">to</span><span lang=\"EN-US\"> </span><span lang=\"EN-US\">the north and Arabian Sea in the south, while
the interior portion is covered with plateaus or agriculture plains. For such a
region</span><span lang=\"EN-US\">, </span><span lang=\"EN-US\">any attempt to
monitor/analyze climatic data requires some more specific detail</span><span lang=\"EN-US\">s</span><span lang=\"EN-US\">. A statistical software </span><span lang=\"EN-US\">ˇ°</span><span lang=\"EN-US\">SDSM</span><span lang=\"EN-US\">ˇ±</span><span lang=\"EN-US\"> is utilized for downscaling</span><span lang=\"EN-US\"> </span><span lang=\"EN-US\">daily temperature data of Pakistan and the results generated are
compared with the output of a recommended model ˇ°ECHAM5ˇ±. After analysis</span><span lang=\"EN-US\">, </span><span lang=\"EN-US\">it revealed that comparatively SDSM produced
much better results. The outputs from both the approaches were correlated with
the observed data; SDSM-observed gave values for correlation coefficient R<sup>2</sup> in the range of 81% - 94% whereas</span><span lang=\"EN-US\"> </span><span lang=\"EN-US\">ECHAM5-observed pro</span><span lang=\"EN-US\">duced
73% - 87% for different meteorological stations of Pakistan. On the basis of
this study, SDSM can be recommended for future scenario generation of
temperature data of Pakistan as well.</span> 
</p>
%K Dynamic
%K Statistical
%K Future Scenario Generation
%U http://www.scirp.org/journal/PaperInformation.aspx?PaperID=41824