Articles | Volume 19, issue 2
https://doi.org/10.5194/hess-19-857-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-19-857-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
10 Feb 2015
Research article |
| 10 Feb 2015
Calibration approaches for distributed hydrologic models in poorly gaged basins: implication for streamflow projections under climate change
Department of Civil and Environmental Engineering, University of Massachusetts Amherst, USA
Y. C. E. Yang
Department of Civil and Environmental Engineering, University of Massachusetts Amherst, USA
S. Steinschneider
Department of Civil and Environmental Engineering, University of Massachusetts Amherst, USA
A. Khalil
The World Bank, Washington, DC, USA
C. M. Brown
Department of Civil and Environmental Engineering, University of Massachusetts Amherst, USA
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63 citations as recorded by crossref.
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5 citations as recorded by crossref.
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Short summary
This study shows that multisite calibration approaches for a distributed hydrologic model far exceed a calibration based on only the basin outlet. It also reveals advantages of semi-distributed over (non-parsimonious) fully distributed parameter schematization, by means of improved predictive capacity and reduced parameter uncertainty. The uncertainty in future streamflow resulting from variations in projected climate between GCMs substantially outweighs the calibration uncertainty.
This study shows that multisite calibration approaches for a distributed hydrologic model far...
