Articles | Volume 20, issue 11
https://doi.org/10.5194/hess-20-4655-2016
© Author(s) 2016. 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-20-4655-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Towards simplification of hydrologic modeling: identification of dominant processes
Steven L. Markstrom
CORRESPONDING AUTHOR
US Geological Survey, P.O. Box 25046, MS 412, Denver Federal Center, Denver, Colorado, 80225, USA
Lauren E. Hay
US Geological Survey, P.O. Box 25046, MS 412, Denver Federal Center, Denver, Colorado, 80225, USA
Martyn P. Clark
National Center for Atmospheric Research, P.O. Box 3000, Boulder, Colorado, 80307, USA
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- Quantifying uncertainty in simulated streamflow and runoff from a continental-scale monthly water balance model A. Bock et al. 10.1016/j.advwatres.2018.10.005
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Latest update: 25 Apr 2024
Short summary
Results of this study indicate that it is possible to identify the influence of different hydrologic processes when simulating with a distributed-parameter hydrology model on the basis of parameter sensitivity analysis. Identification of these processes allows the modeler to focus on the more important aspects of the model input and output, which can simplify all facets of the hydrologic modeling application.
Results of this study indicate that it is possible to identify the influence of different...