Abstract Floods are the most common and widespread climate-related hazard on Earth. Flood forecasting can reduce the death toll associated with floods. Satellites offer effective and economical means for calculating areal rainfall estimates in sparsely gauged regions. However, satellite-based rainfall estimates have had limited use in flood forecasting and hydrologic stream flow modeling because the rainfall estimates were considered to be unreliable. In this study we present the calibration and validation results from a spatially distributed hydrologic model driven by daily satellite-based estimates of rainfall fo
Uncertainty due to resolution of current satellite-based rainfall products is believed to be an impo...
Rainfall maps that are derived from satellite observations provide hydrologists with an unprecedente...
International audienceSatellite rainfall estimates (SRE) with high spatial and temporal resolution a...
AbstractCalibration is a crucial step in the application of hydrological models and is typically per...
Calibration is a crucial step in the application of hydrological models and is typically performed u...
Calibration is a crucial step in the application of hydrological models and is typically performed u...
Flooding is a natural global phenomenon but in many cases is exacerbated by human activity. Although...
Hydrological models at river basin scale are needed to predict floods, droughts, available water, an...
A spatiotemporal object-based rainfall analysis method is used to evaluate the hydrological response...
A spatiotemporal object-based rainfall analysis method is used to evaluate the hydrological response...
In data-poor regions around the world, particularly in less-privileged countries, hydrologists canno...
The lack of dense ground networks of meteorological stations in many parts of the developing world i...
In most regions of the world, and particularly in developing countries, the possibility and reliabil...
Satellite precipitation estimates (SPEs) are promising alternatives to gauge observations for hydrol...
Hydrological models are usually calibrated against observed streamflow (Qobs), which is not applicab...
Uncertainty due to resolution of current satellite-based rainfall products is believed to be an impo...
Rainfall maps that are derived from satellite observations provide hydrologists with an unprecedente...
International audienceSatellite rainfall estimates (SRE) with high spatial and temporal resolution a...
AbstractCalibration is a crucial step in the application of hydrological models and is typically per...
Calibration is a crucial step in the application of hydrological models and is typically performed u...
Calibration is a crucial step in the application of hydrological models and is typically performed u...
Flooding is a natural global phenomenon but in many cases is exacerbated by human activity. Although...
Hydrological models at river basin scale are needed to predict floods, droughts, available water, an...
A spatiotemporal object-based rainfall analysis method is used to evaluate the hydrological response...
A spatiotemporal object-based rainfall analysis method is used to evaluate the hydrological response...
In data-poor regions around the world, particularly in less-privileged countries, hydrologists canno...
The lack of dense ground networks of meteorological stations in many parts of the developing world i...
In most regions of the world, and particularly in developing countries, the possibility and reliabil...
Satellite precipitation estimates (SPEs) are promising alternatives to gauge observations for hydrol...
Hydrological models are usually calibrated against observed streamflow (Qobs), which is not applicab...
Uncertainty due to resolution of current satellite-based rainfall products is believed to be an impo...
Rainfall maps that are derived from satellite observations provide hydrologists with an unprecedente...
International audienceSatellite rainfall estimates (SRE) with high spatial and temporal resolution a...