Abstract. Meteorological forcing plays a critical role in accurately simulating the watershed hydrological cycle. With advancement of high-performance computing and development integrated models, cycle at high temporal (hourly to daily) spatial resolution (tens meters) has become efficient computationally affordable. These hyperresolution models require meteorological as model input ensure fide...

rainfall-runoff is one of complex hydrological processes that is affected by a variety of physical and hydrological factors. in this study statistical method armax model, neural network, neuro-fuzzy (anfis subtractive clustering and grid partition) and two hybrid models of this methods were used to simulate rainfall-runoff and prediction of streamflow. in each method optimum structure was deter...

Synthetic simulation of streamflow sequences is important for the analysis of water supply reliability. Disaggregation models are an important component of the stochastic streamflow generation methodology. They provide the ability to simulate multiseason and multisite streamflow sequences that preserve statistical properties at multiple timescales or space scales. In recent papers we have sugge...

The accurate methods for the forecasting of hydrological characteristics are significantly important water resource management and environmental aspects. In this study, a novel approach daily streamflow discharge data is proposed. Streamflow discharge, temperature, precipitation were used feature extraction which systematically employed studies. While correlation-based selection (CFS) was selec...

Streamflow forecasting is of great significance for water resources planning and management. In recent years, numerous data-driven models have been widely used streamflow forecasting. However, the traditional single model ignores utilization different regimes. This study proposed an integrated framework daily based on regime recognition flow sequences. The integrates self-organizing maps (SOM) ...

a methodology is presented for the stochastic generation of daily rainfall which accounts for changes to the climatic inputs. the focus of the study is an example catchment in iran. the methodology addresses the inability of gcms to provide suitable future scenarios for the time and space scales required for a water resource impact assessment for a small catchment. one stochastic model for rain...

[1] An overview of the annual hydroclimatology of the United States is provided. Time series of monthly streamflow, temperature, and precipitation are developed for 1337 watersheds in the United States. This unique data set is then used to evaluate several approaches for estimating the long-term water balance and the interannual variability of streamflow. Traditional relationships which predict...

streamflow. They visually identified changes in streambed temperature wave amplitudes to determine the start and A moving standard deviation (MSD) technique is developed to end of streamflow events. Although this visual inspecinfer the onset and cessation of ephemeral streamflow using temperation technique has been successfully demonstrated in ture data from the upper 2.25 m of streambed sedime...