It is well known that, the measurement of a meteorological variable taken at meteorological observation stations represents the true value of a measured meteorological variable. However, due to the sparse station network in many parts of the GHA region, there is need for the use of additional proxy data such as reanalysis to provide measurements of meteorological variables, especially temperature in areas where there are no stations. The limitation of the station observation is worse in regions with complex varying topography, where stations’ measurements are sparse or no-existent. Reanalysis datasets can provide an alternative climate data in regions where ground observations measurements are limited or unavailable.