The evaluation of hydrologic model behaviour and performance is commonly made and reported through comparisons of simulated and observed variables. Frequently, comparisons are made between simulated and measured streamflow at the catchment outlet. In distributed hydrological modelling approaches, additional comparisons of simulated and observed measurements for multi-response validation may be ...

Large uncertainties exist in the available hydrology loading prediction models, and currently no consensus is reached on which model superior or appears to represent nature a more satisfactory way. This study discusses noise characterization combination of vertical loadings predicted by different reanalysis (e.g., MERRA, GLDAS/Noah, GEOS-FPIT, ERA interim). We focused predictions time span from...

The tropical Rainfall Measuring Mission TRMM 3B42 V7 product and its successor, the Global Precipitation Measurement Integrated Multi-satellitE Retrievals for GPM IMERG high-resolution V5, have been validated against rain gauges precipitation in an arid mountainous basin where ground-based observations of are sparse, or spatially undistributed. This paper aims to evaluate hydro-statically perfo...

This article presents snow hydrology updates made to iTree-Hydro, previously called the Urban Forest Effects—Hydrology model. iTree-Hydro Version 1 was a warm climate model developed by the USDA Forest Service to provide a process-based planning tool with robust water quantity and quality predictions given data limitations common to most urban areas. Cold climate hydrology routines presented in...

in order to decrease the risks associated with the management of urban watersheds, the use of proper methods is an essential task to estimate the runoff with a high degree of confidence. time of concentration is one of factors that impacts on peak discharge and runoff volume. the objective of this study is to select the best method among the empirical formulas for estimating the time of concent...

simulation of groundwater fluctuations plays a crucial role in management of watersheds and water demand balancing. recently, wavelet analysis has been used widely in time series decomposition and coupling with neural networks for hydrological modeling. in this paper, the ability of the wavelet-dynamic artificial neural networks (w-ann) model was applied in forecasting one-month-ahead of ground...

in iran, most mountainous watersheds do not have enough hydrometery stations and defective stations have sparse data. because of limited availability of hydrologic data, watershed modeling plays a crucial role in development of local resources. in this study, swat was applied to simulate runoff in marun dam (idanak) watershed, a sub-basin of marun catchment. calibration and sensivity analyses w...