Multi-variable calibration of a semi-distributed hydrological model using streamflow data and satellite-based evapotranspiration
In this study, streamflow (Qs) and satellite-based actual evapotranspiration (ETa) are used in a multi-variable calibration framework to reproduce the catchment water balance. The application is for the HBV rainfall-runoff model at daily time-step for the Karkheh River Basin (51,000 km2) in Iran. Mo...
| Autores principales: | , , , , |
|---|---|
| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
Elsevier
2013
|
| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/40304 |
Ejemplares similares: Multi-variable calibration of a semi-distributed hydrological model using streamflow data and satellite-based evapotranspiration
- Calibration of a semi-distributed hydrological model using discharge and remote sensing data
- Effect of bias correction of satellite-rainfall estimates on runoff simulations at the source of the Upper Blue Nile
- Impact of climate change on the streamflow of the Arjo-Didessa Catchment under RCP scenarios
- An artificial neural network model for simulating streamflow using remote sensing data
- Changes in water availability in the Upper Blue Nile basin under the representative concentration pathways scenario
- Potential of satellite and reanalysis evaporation datasets for hydrological modelling under various model calibration strategies