This study is concerned with the variations in annual and seasonal surface air temperature in Syria, depending on the data from 12 different meteorological stations in Syria. The analysis of surface temperature trends was performed using Least squares (linear regression) and Moving- averaging filters according to Gaussian low- pass filter. Fast Fourier Transformation was used for the analysis of periodicity for the annual mean surface temperature. The results of linear regression showed that the general trend of annual and seasonal temperature in all stations was positive except Latakya. The results of annual and seasonal temperature, fluctuations revealed the existence of important warming period in all stations starting from 1993-1994 for the average of annual and winter temperature while summer, autumn and spring temperatures averages were above the mean during the study period. Periodicities analysis showed that the surface air temperature seems to be affected by solar cycle and quasi- biennial oscillation as well as the El-nino southern oscillation.