TITLE:
Comparative Study for ECHAM5 and SDSM in Downscaling Temperature for a Geo-Climatically Diversified Region, Pakistan
AUTHORS:
Dildar Hussain Kazmi, Ghulam Rasul, Jianping Li, Suhail Babar Cheema
KEYWORDS:
Dynamic; Statistical; Future Scenario Generation
JOURNAL NAME:
Applied Mathematics,
Vol.5 No.1,
January
10,
2014
ABSTRACT:
Pakistan is a country with diversified features in terms of geography and climate. It is an agriculture
based country, mainly dependent on Indus
water system. In Pakistan, there
are loftyplateaus to the north and Arabian Sea in the south, while
the interior portion is covered with plateaus or agriculture plains. For such a
region, any attempt to
monitor/analyze climatic data requires some more specific details. A statistical software “SDSM” is utilized for downscaling daily temperature data of Pakistan and the results generated are
compared with the output of a recommended model “ECHAM5”. After analysis, 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 R2 in the range of 81% - 94% whereas ECHAM5-observed produced
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.