عنوان مقاله [English]
نویسنده [English]چکیده [English]
Changing ozone layer which is measured as Total ozone (TO) oscillation name, are one of the modern human concerns as one of the causes or impacts of climate change. In this research, Total ozone oscillation in relationship with ENSO phenomena have been evaluated. To this aim, monthly mean data from Total Ozone Mapping Spectrometer (TOMS) in point by 1*1.25 degree of geographical distance and monthly mean southern oscillation index (SOI) as defining as El Nino and La Nina have been used. The results show that total ozone variations have the best fit to SOI index by Regression Cubic model and the total ozone could be estimated by this model on confidence level 99%. The relation between ozone values estimated by the model and the SOI index is inverse, strong and confidence in level significant 99% in annual, seasonal and monthly time scale in all aresa of Iran except a small area in the North West in July. Correlation coefficients were the strongest in the Central Region, South and Southeast of the country and the poor relations in the North and North West respectively. The results show that the total ozone in El NinoLa Nina occurrence will increasedecrease in all Iran areas. The value of (TO) increase from the south to north and the fitted line slope in El Nino is more.