Articles | Volume 21, issue 7
https://doi.org/10.5194/hess-21-3325-2017
© Author(s) 2017. 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-21-3325-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Characterizing and reducing equifinality by constraining a distributed catchment model with regional signatures, local observations, and process understanding
Department of Earth Sciences, Syracuse University, Syracuse, NY,
13244, USA
Department of Earth and Ocean Sciences, Nicholas School of the
Environment, Duke University, Durham, NC, 27706, USA
Brian McGlynn
Department of Earth and Ocean Sciences, Nicholas School of the
Environment, Duke University, Durham, NC, 27706, USA
Thorsten Wagener
Department of Civil Engineering, University of Bristol, Bristol, BS8
1TR, UK
Cabot Institute, University of Bristol, Bristol, BS8 1TR, UK
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Latest update: 28 Mar 2024
Short summary
Models are tools for understanding how watersheds function and may respond to land cover and climate change. Before we can use models towards these purposes, we need to ensure that a model adequately represents watershed-wide observations. In this paper, we propose a new way to evaluate whether model simulations match observations, using a variety of information sources. We show how this information can reduce uncertainty in inputs to models, reducing uncertainty in hydrologic predictions.
Models are tools for understanding how watersheds function and may respond to land cover and...