Analysis of Maximum and Minimum Daily, Monthly, Seasonal and Annual Surface Temperature over Iran Considering Topography

Introduction Considering the industrial development in recent years, the need for climatological atlas and also daily metrological data have increased and has become important economically. Air temperature is of special importance in our understanding of various natural processes in the nature. Moreover, in order to detect the impact of greenhouse gases on climate change and developing ecological models in various regions, much attention have been given to spatial distribution of temperature. Hence, developing and testing accurate interpolation methods for spatial analysis of temperature is this clear especially over data void regions. In order to successfully transfer information from irregularly distributed observing stations to a regular grid, information about physical characteristics of the region have to be taken into account. To reflect spatially complicated climate patterns at regional scales, climatic dependence on topography must be taken into account when developing reliable climate estimates.