A unified approach for process-based hydrologic modeling: 1. Modeling concept

Martyn P. Clark*, Bart Nijssen, Jessica D. Lundquist, Dmitri Kavetski, David E. Rupp, Ross A. Woods, Jim E. Freer, Ethan D. Gutmann, Andrew W. Wood, Levi D. Brekke, Jeffrey R. Arnold, David J. Gochis, Roy M. Rasmussen

*Corresponding author for this work

Research output: Contribution to journalArticle (Academic Journal)peer-review

178 Citations (Scopus)

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. Key Points: Modeling template formulated using a general set of conservation equations Evaluation focuses on flux parameterizations and spatial variability/connectivity Systematic approach helps improve model fidelity and uncertainty characterization

Original languageEnglish
Pages (from-to)2498-2514
Number of pages17
JournalWater Resources Research
Volume51
Issue number4
DOIs
Publication statusPublished - 1 Apr 2015

Keywords

  • hydrometeorology
  • scaling behavior
  • unified model

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