Uncertainty of Climate Change and Synoptic Parameters and modeling the trends

Climate changes is a natural phenomenon which have long-term sequence occurrence and return period. Impact of human activities may aggravate the effects of climate change in ecosystems, intensity of climate change trend and intervals between changes. Climate change can be reviewed using synoptical parameters as their indicators.In this study, based on average annual precipitation trend, temperature and relative humidity using De Martonne index were estimated for the recent 20-year period in Mazandaran Province, IRAN. Mathematical modeling of these changes and trends was conducted using regression models and Curve Expert software. Results showed meaningful changes in temperature and relative humidity during the selected period. The amount of precipitation did not show a significant trend, but a increase at the end of the period as compared with the beginning. There are also relative changes in De Martonne index during recent two decades, but no significant sign of climate change was spotted for this region.