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
sq
uares (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.
