one of the most important impact of climate change is reduction of precipitation in some areas including iran. hence, climate change studies are essential in these areas. besides, according to ipcc, some meteorological stations of iran, such as tabriz (capital of east azerbaijan province) have showed a downward trend in precipitation. therefore, east azerbaijan province was selected as the stud...

meteorological stations usually contain some missing data for different reasons.there are several traditional methods for completing data, among them bivariate and multivariate linear and non-linear correlation analysis, double mass curve, ratio and difference methods, moving average and probability density functions are commonly used. in this paper a blended model comprising the bivariate expo...

Spatial and temporal variability analysis of precipitation is an important task in water resources planning and management. This study aims to analyze the spatial and temporal variability of precipitation in the northeastern corner of Iran using data from 24 well-distributed weather stations between 1991 and 2015. The mean annual rainfall, precipitation concentration index (PCI), and their coef...

Accurate estimations of local precipitation are necessary for assessing water resources and water-related disaster risks. Numerical models typically used to estimate precipitation, but biases can result from insufficient resolution incomplete physical processes. To correct these biases, various bias correction methods have been developed. Recently, using machine learning developed improved perf...

Studying precipitation variability in the Peruvian Andes is a challenge given the high topographic variability and the scarcity of weather stations. Yet previous research has shown that a near-linear relationship exists between precipitation and vegetation in the semiarid central Andes. We exploit this relationship by developing a new, spatially highly resolved spatiotemporal precipitation reco...

Abstract. As a key component in the water and energy cycle, estimates of precipitation with high resolution accuracy is great significance for hydrological, meteorological, ecological studies. However, current satellite-based products have coarse spatial (from 10 to 50 km) not meeting needs several applications (e.g., flash floods landslides). The implementation downscaling methods can be suita...

Precipitation patterns are influenced by many factors, such as global atmospheric circulations to name but one. Precipitation patterns in Iran have always had great fluctuations even in a smaller scale like the Alburz Mountain Range. The present research has tried to find the relationship between global atmospheric patterns and the pervasive precipitation ones in Alburz. For doing so, 17 climat...

[1] Atmospheric fronts are important for the day-to-day variability of weather in the midlatitudes, particularly during winter when extratropical storm-tracks are at their maximum intensity. Fronts are often associated with heavy rain, and strongly affect the local space-time distribution of rainfall. A recently developed objective front identification method that distinguishes between cold, wa...

The accuracy of rainfall predictions in the EPA’s BASINS (Better Assessment Science Integrating Point and Nonpoint Sources) decision support tool is affected by the sparse meteorological data contained in BASINS. The objectives of this study were improvement of using the entropy theory to supplement the precipitation data are significant when the watershed’s meteorological station is either far...