Variance modeling space-time seasonal rainfall in central Iran

Detection of the relationship between rainfall and altitude can be considered as an important achievement for rainfall-runoff studies and the management of catchment areas, especially in arid and dry soils that have a high brittleness. In the present study, the rainfall-elevation time-space spatial modeling of central Iran is performed. For this purpose, the Aphrodite precipitation database was used for a 30-year period (1977-2007) based on DEM and with a spatial resolution of 30 meters. In this regard, two models were utilized; ordinary least squares (OLS) and geographic weighted regressions (GWR). The evaluation of the two models showed that the GWR model can better explain the precipitation-elevation relationships in central Iran. It was also found that the increase in the coefficient for the (OLS) model, especially in the spring, was due to the convection and exacerbation of the mountainous precipitation phenomenon. The precipitation in central Iran has a spatial structure and shows cluster behavior. It emerged that, in central Iran, the maximum rainfall does not occur at the maximum altitude, and the maximum and minimum of the rainfall-altitude relationship in central Iran occur before and behind the wind. Keywords: .