Over the last decade or so, artificial neural networks (ANNs) have become one of the most promising tools formodelling hydrological processes such as rainfall runoff processes. However, the employment of a single model doesnot seem to be an appropriate approach for modelling such a complex, nonlinear, and discontinuous process thatvaries in space and time. For this reason, this study aims at de...

increased concentration of greenhouse gases is expected to alter the radiative balance of atmosphere, causing increases in temperature and changes in precipitation patterns and other climatic variables. these changes are associated with the changes in hydrological systems globally and at the basin scale. these changes include: precipitation patterns and extremes; the amount and generation of ri...

[1] The primary advantage of radar observations of precipitation compared with traditional rain gauge measurements is their high spatial and temporal resolution and large areal coverage. Unfortunately, radar data require vigorous quality control before being converted into precipitation products that can be used as input to hydrologic models. In this study we coupled a physically based atmosphe...

abstract this papare is resaults of analysing the data which reported from a harvesting project. the site for collecting data is buildings' roofs of azad islamic university of mashhad. a rain gauge and a small reservoir (capacity is 4 cubic meters) were set at this site. then the amount of precipitation and its runoff were measured during two years (from 1386, dey, 23 to 1388, tir, 3).the sampl...

Recent analysis of spatial and temporal resolution of rainfall and the advent of small inexpensive rainfall radars has lead to increased use of radar estimated rainfall as input to hydrological models especially in urban areas. Detailed rainfall measurements have indicated a very high spatial variation of up to 100 % of a distance of less that 200 m over a 3 hour rainfall event [Jensen and Pede...