Temperature is a key driving force in hydrological cycle, defining the extent of climate change. It causes the alteration in hydrological cycle process, limiting and intensifying the rainfall, increasing the rate of evapotranspiration and changes the crop pattern and duration over a region. Its future analysis is utmost to cope with negative effects of climate change over a specified region. This study also investigates, the future temperature pattern over Gomal River Basin (GRB). To undertake the study, downscaled daily temperature data of four General Circulation Models (GCMS) namely; bcc_csm1_1_m, mpi_esm_mr, ncar_ccsm4 and ncc_noresm1_m and their ensemble mean were first compared and validated with observed data for the period of 1980-2005. After that, temperature was projected for the mid-century (2020-2060) for the Representative Concentration Pathways (RCPs) 4.5. The analysis were carried out based on the four seasons; winter (December-February), spring (March-May), summer (June-August) and autumn (September-November). The results indicate that, the basin temperature was accurately predicted by the ensemble mean of the four GCMs with R2 value of 0.9. All the GCMs projected a warming in future in all seasons. Winter warming is more compared to other seasons. Proper adaptation strategies are needed to cope with the adverse impacts of global warming in the basin.
Amjad Khan M. Shahzad Khattak Mahmood Alam Khan and Saadia Rehman Projecting Future Temperature using CMIP5 GCMs over Transboundary Gomal River Basin International Journal of Engineering Works Vol. 6 Issue 09 PP. 310-313 September 2019
 M.S. Khattak, A. Khan, M.A. Khan, W. Ahmad, S. Rehman, M. Sharif, and S. Ahmad, “Investigation of characteristics of hydrological droughts in Indus basin,”. Sarhad Journal of Agricultural, vol, 35(1), pp. 48-56, 2019. DOI:http://dx.doi.org/10.17582/journal.sja/2019/22.214.171.124
 IPCC, “Climate Change: The Physical Science Basis; Contribution of Working Group I to the Fifth Assessment Report of the Intergovern-mental Panel on Climate Change, ” Cambridge University Press: Cambridge, UK; New York, NY, USA,p. 1535, 2013.
 IPCC, “Climate change 2007: the Physical Science Basis. Contribution of Working Group I to the 4th Assessment Report of the Intergovernmental Panel on the climate change”. Cambridge and New York: Cambridge University Press, 2007. 996, 2007.
 S. Dhar, and A. Mazumdar, “Impacts of climate change under the threat of global Warming for an agricultural watershed of the Kangsabati River,” International Journal of Agricultural and Biosystems Engineering, vol. 3 (3), 2019.
 X. Xin, L. Zhang, J. Zhang, T. Wu, and Y. Fang, “Climate change projections over East Asia with BCC_CSM1.1 Climate Model under RCP Scenarios,” Journal of the Meteorological Society of Japan, vol. 91 (4), pp. 413-429, 2013. DOI:10.2151/jmsj.2013-401.
 H.X. Zheng, F.H. Chiew, S. Charles, and G. Podger, “Future climate and runoff projections across South Asia from CMIP5 global climate models and hydrological modelling. Journal of Hydrology,” Regional Studies, vol. 18, pp. 92-109, 2018.
 N. Rehman, M. Adnan, and S. Ali, “Assessment of CMIP5 climate models over South Asia and climate change projections over Pakistan under representative concentration pathways,” International Journal of Global Warming, vol. 16 (4), pp. 381–415, 2018.
 T.J. Zhou, and R.C. Yu, “Twentieth-century surface air temperature over China and the globe simulated by coupled climate models,” Journal of Climate. Vol. 19: pp. 5843-5858, 2006.
 Z.H. Jiang, J. Song, and L. Li, W. Chen, Z. Wang, and J. Wang, “Extreme climate events in China: IPCC-AR4 model evaluation and projection,” Climatic Change, vol. 110, pp. 385-401, 2012.
 V.N. Dike, M.H. Shimizu, M. Diallo, Z. Lin, O.K. Nwofor, and T.C. Chineke, “Modelling present and future African climate using CMIP5 scenarios in HadGEM2-ES” International Journal of Climatology, vol. 35 (8), pp. 1784-1799, 2014; DOI: 10.1002/joc.408.
 N. Khan, S. Shahid, K. Ahmed, T. Ismail, N. Nawaz, and M. Son, "Performance assessment of General Circulation Model in simulating daily precipitation and temperature using multiple gridded datasets” Water, vol. 10, pp. 1793, 2018. DOI: 10.3390/w10121793.
 K.E. Taylor, R.J. Stouffer, and G.A. Meehl, “An overview of CMIP5 and the experiment design” Bulletin of the American Meteorological Society, vol. 93: pp. 485-498, 2012; DOI:10.1175/BAMS-D-11-00094.1.