A unified approach for process-based hydrologic modeling: 1. Modeling concept. Clark, M. P., Nijssen, B., Lundquist, J. D., Kavetski, D., Rupp, D. E., Woods, R. A., Freer, J. E., Gutmann, E. D., Wood, A. W., Brekke, L. D., Arnold, J. R., Gochis, D. J., & Rasmussen, R. M. Water Resources Research, 51(4):2498–2514, April, 2015. ![A unified approach for process-based hydrologic modeling: 1. Modeling concept [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi abstract bibtex This work advances a unified approach to process-based hydrologic modeling to enable controlled and systematic evaluation of multiple model representations (hypotheses) of hydrologic processes and scaling behavior. Our approach, which we term the Structure for Unifying Multiple Modeling Alternatives (SUMMA), formulates a general set of conservation equations, providing the flexibility to experiment with different spatial representations, different flux parameterizations, different model parameter values, and different time stepping schemes. In this paper, we introduce the general approach used in SUMMA, detailing the spatial organization and model simplifications, and how different representations of multiple physical processes can be combined within a single modeling framework. We discuss how SUMMA can be used to systematically pursue the method of multiple working hypotheses in hydrology. In particular, we discuss how SUMMA can help tackle major hydrologic modeling challenges, including defining the appropriate complexity of a model, selecting among competing flux parameterizations, representing spatial variability across a hierarchy of scales, identifying potential improvements in computational efficiency and numerical accuracy as part of the numerical solver, and improving understanding of the various sources of model uncertainty.
@article{clark_unified_2015,
title = {A unified approach for process-based hydrologic modeling: 1. {Modeling} concept},
volume = {51},
issn = {1944-7973},
shorttitle = {A unified approach for process-based hydrologic modeling},
url = {http://onlinelibrary.wiley.com/doi/10.1002/2015WR017198/abstract},
doi = {10.1002/2015WR017198},
abstract = {This work advances a unified approach to process-based hydrologic modeling to enable controlled and systematic evaluation of multiple model representations (hypotheses) of hydrologic processes and scaling behavior. Our approach, which we term the Structure for Unifying Multiple Modeling Alternatives (SUMMA), formulates a general set of conservation equations, providing the flexibility to experiment with different spatial representations, different flux parameterizations, different model parameter values, and different time stepping schemes. In this paper, we introduce the general approach used in SUMMA, detailing the spatial organization and model simplifications, and how different representations of multiple physical processes can be combined within a single modeling framework. We discuss how SUMMA can be used to systematically pursue the method of multiple working hypotheses in hydrology. In particular, we discuss how SUMMA can help tackle major hydrologic modeling challenges, including defining the appropriate complexity of a model, selecting among competing flux parameterizations, representing spatial variability across a hierarchy of scales, identifying potential improvements in computational efficiency and numerical accuracy as part of the numerical solver, and improving understanding of the various sources of model uncertainty.},
language = {en},
number = {4},
journal = {Water Resources Research},
author = {Clark, Martyn P. and Nijssen, Bart and Lundquist, Jessica D. and Kavetski, Dmitri and Rupp, David E. and Woods, Ross A. and Freer, Jim E. and Gutmann, Ethan D. and Wood, Andrew W. and Brekke, Levi D. and Arnold, Jeffrey R. and Gochis, David J. and Rasmussen, Roy M.},
month = apr,
year = {2015},
pages = {2498--2514},
}
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