Pakistan is a country with diversified features in terms of geography and climate. It is an agriculture
based country, mainly dependenton Indus
water system. In Pakistan, there
are loftyplateaustothe 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 downscalingdaily 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% whereasECHAM5-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.
R. L. Wilby, C. W. Dawson and E. M. Barrow, “SDSM—A Decision Support Tool for the Assessment of Regional Climate Change Impacts,” Environmental Modeling & Software, Vol. 17, No. 2, 2002, pp. 147-159. http://dx.doi.org/10.1016/S1364-8152(01)00060-3
D. H. Kazmi, G. Rasul, J. Tong, J. Li, G. Ali, S. B. Cheema, L. Liu, M. Gemmer and T. Fischer, “Statistical Downscaling and Future Scenario Generation of Air Temperature, for Pakistan through SDSM,” in Press.