Abstract: alibration is a crucial step in hydrologic modeling that is typically handled by tuning parameters to match an observed hydrograph. In this research, an alternative calibration scheme based on soil moisture was investigated ...

Abstract: loods are among the most devastating natural hazards in society. Flood forecasting is crucially important in order to provide warnings in time to protect people and properties from such disasters. This research applied the ...

Abstract: his study aims to investigate the performance of Precipitation Estimation from Remotely Sensed Information Using Artificial Neural Networks?Climate Data Record (PERSIANN-CDR) in a rainfall?runoff modeling application over ...

Abstract: AbstractLittle dispute surrounds the observed global temperature changes over the past decades. As a result, there is widespread agreement that a corresponding response in the global hydrologic cycle must exist. However, ...

Abstract: AbstractThe purpose of this study is to use the PERSIANN?Climate Data Record (PERSIANN-CDR) dataset to evaluate the ability of 32 CMIP5 models in capturing the behavior of daily extreme precipitation estimates globally. ...