globalchange  > 气候变化事实与影响
DOI: 10.5194/hess-21-3427-2017
Scopus记录号: 2-s2.0-85023169156
论文题名:
The evolution of process-based hydrologic models: Historical challenges and the collective quest for physical realism
作者: Clark M; P; , Bierkens M; F; P; , Samaniego L; , Woods R; A; , Uijlenhoet R; , Bennett K; E; , Pauwels V; R; N; , Cai X; , Wood A; W; , Peters-Lidard C; D
刊名: Hydrology and Earth System Sciences
ISSN: 10275606
出版年: 2017
卷: 21, 期:7
起始页码: 3427
结束页码: 3440
语种: 英语
Scopus关键词: Earth sciences ; Hydrology ; Adequate models ; Computational constraints ; Computing power ; Data limitations ; Historical models ; Hydrologic modeling ; Hydrologic models ; Model equations ; Uncertainty analysis ; computer simulation ; data set ; hydrological modeling ; parameterization ; research method ; uncertainty analysis
英文摘要: The diversity in hydrologic models has historically led to great controversy on the "correct" approach to process-based hydrologic modeling, with debates centered on the adequacy of process parameterizations, data limitations and uncertainty, and computational constraints on model analysis. In this paper, we revisit key modeling challenges on requirements to (1) define suitable model equations, (2) define adequate model parameters, and (3) cope with limitations in computing power. We outline the historical modeling challenges, provide examples of modeling advances that address these challenges, and define outstanding research needs. We illustrate how modeling advances have been made by groups using models of different type and complexity, and we argue for the need to more effectively use our diversity of modeling approaches in order to advance our collective quest for physically realistic hydrologic models. © Author(s) 2017.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79123
Appears in Collections:气候变化事实与影响

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作者单位: Research Applications Laboratory, National Center for Atmospheric Research, Boulder, CO, United States; Faculty of Geosciences, Utrecht University, Utrecht, Netherlands; UFZ-Helmholtz Centre for Environmental Research, Leipzig, Germany; Department of Civil Engineering, University of Bristol, Bristol, United Kingdom; Hydrology and Quantitative Water Management Group, Wageningen University, Wageningen, Netherlands; Los Alamos National Laboratory, Los Alamos, NM, United States; Department of Civil Engineering, Monash UniversityVIC, Australia; Department of Civil and Environmental Engineering, Princeton University, Princeton, NJ, United States; Earth Sciences Division, NASA, Goddard Space Flight Center, Greenbelt, MD, United States

Recommended Citation:
Clark M,P,, Bierkens M,et al. The evolution of process-based hydrologic models: Historical challenges and the collective quest for physical realism[J]. Hydrology and Earth System Sciences,2017-01-01,21(7)
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