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

被引:314
作者
Clark, Martyn P. [1 ]
Nijssen, Bart [2 ]
Lundquist, Jessica D. [2 ]
Kavetski, Dmitri [3 ]
Rupp, David E. [4 ]
Woods, Ross A. [5 ]
Freer, Jim E. [6 ]
Gutmann, Ethan D. [1 ]
Wood, Andrew W. [1 ]
Brekke, Levi D. [7 ]
Arnold, Jeffrey R. [8 ]
Gochis, David J. [1 ]
Rasmussen, Roy M. [1 ]
机构
[1] Natl Ctr Atmospher Res, Hydrometeorol Applicat Program, Res Applicat Lab, Boulder, CO 80307 USA
[2] Univ Washington, Dept Civil & Environm Engn, Seattle, WA 98195 USA
[3] Univ Adelaide, Sch Civil Environm & Min Engn, Adelaide, SA, Australia
[4] Oregon State Univ, Oregon Climate Change Res Inst, Coll Earth Ocean & Atmospher Sci, Corvallis, OR 97331 USA
[5] Univ Bristol, Fac Engn, Bristol, Avon, England
[6] Univ Bristol, Sch Geog Sci, Bristol, Avon, England
[7] US Bur Reclamat, Denver, CO 80225 USA
[8] US Army Corps Engineers, Seattle, WA USA
基金
美国国家科学基金会; 美国海洋和大气管理局;
关键词
unified model; scaling behavior; hydrometeorology; STORAGE BOUSSINESQ MODEL; PHYSICALLY BASED MODEL; VARIABLE SOURCE AREAS; TORNE-KALIX BASIN; LAND-SURFACE; HETEROGENEOUS HILLSLOPES; WATERSHED THERMODYNAMICS; INTERCOMPARISON PROJECT; RESPONSE SIMULATION; SPATIAL VARIABILITY;
D O I
10.1002/2015WR017198
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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.
引用
收藏
页码:2498 / 2514
页数:17
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