This study was conducted to evaluate the impacts of some meteorological parameters (air temperature, wind speed, air pressure, albedo, specific humidity, surface incoming shortwave flux) on the concentrations of the major pollutants, including O$_{3}$, PM$_{2.5}$, CO, and SO$_{2}$, at the randomly sampled sites of Ethiopia in the year 2023 on the basis of an hour of observation. The study data were recorded on the surface of ground with $\Delta$t = 1hr, $\Delta$$\phi$ = 0.5$^{0}$, and $\Delta$$\lambda$ = 0.625$^{0}$ resolution that is available at Giovanni website\cite{Ronald,articlej}. The resulting mean hourly data of the trace gas's at each season was analyzed using time series via the Gnuplot package, and its relationship with the various meteorological elements was done by a statistical analysis using the Python programming language. Due to a variety of emission sources and meteorological factors, the pattern of main air pollutants in the selected regions of Ethiopia shifts over time with distinct wave patterns. Even in the sparse populations area of Ethiopia, the highest average concentrations of O$_{3}$ $\gg$ 120$\mu$g/m$^{3}$ were reported throughout the year during the summer months when solar radiation intensity was at its highest. The maximum PM$_{2.5}$ levels that exceeded the nation's available daily air quality criteria were also observed at EER, CER, and WER sampling sites during the autumn (163.15$\mu$g/m$^{3}$), summer (139.75$\mu$g/m$^{3}$), and winter (117.00$\mu$g/m$^{3}$), respectively. In the EER and WER sites, seasonal fires for an agricultural activities were shown to be the primary source of SO$_{2}$ and CO, whereas the major hotspots for those pollutants at the CER site were found to be higher traffic flow, fossil fuel combustion, and the impact of the great rift valley. From this result, it is vital to create and implement emission control programs to minimize those pollutants at each of the sampling site in Ethiopia.