The evolution of process-based hydrologic models: historical challenges and the collective quest for physical realism

Clark, Martyn P.; Bierkens, Marc F.  P.; Samaniego, Luis; Woods, Ross A.; Uijlenhoet, Remko; Bennett, Katrina E.; Pauwels, Valentijn R.  N.; Cai, Xitian; Wood, Andrew W.; Peters-Lidard, Christa D.

doi:10.5194/hess-21-3427-2017

Title: The evolution of process-based hydrologic models: historical challenges and the collective quest for physical realism

Journal Article · Tue Jul 11 00:00:00 EDT 2017 · Hydrology and Earth System Sciences (Online)

DOI:https://doi.org/10.5194/hess-21-3427-2017· OSTI ID:1398930

Clark, Martyn P. ^[1]; Bierkens, Marc F. P. ^[2];

^[3];

^[4];

^[5];

^[6]; Pauwels, Valentijn R. N. ^[7];

^[8];

^[1]; Peters-Lidard, Christa D. ^[9]

National Center for Atmospheric Research, Boulder, CO (United States). Research Applications Lab.
Univ. of Utrecht (Netherlands). Faculty of Geosciences
Helmholtz Centre for Environmental Research (UFZ), Leipzig (Germany)
Univ. of Bristol (United Kingdom). Dept. of Civil Engineering
Wageningen Univ. (Netherlands). Hydrology and Quantitative Water Management Group
Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Monash Univ., Melbourne, VIC (Australia). Dept. of Civil Engineering
Princeton Univ., NJ (United States). Dept. of Civil and Environmental Engineering
NASA Goddard Space Flight Center (GSFC), Greenbelt, MD (United States)

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.

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Research Organization:: Los Alamos National Laboratory (LANL), Los Alamos, NM (United States); Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)

Sponsoring Organization:: USDOE Office of Science (SC), Basic Energy Sciences (BES)

Grant/Contract Number:: AC52-06NA25396; AC02-05CH11231

OSTI ID:: 1398930

Alternate ID(s):: OSTI ID: 1476515

Report Number(s):: LA-UR-17-27603

Journal Information:: Hydrology and Earth System Sciences (Online), Vol. 21, Issue 7; ISSN 1607-7938

Publisher:: European Geosciences Union (EGU)Copyright Statement

Country of Publication:: United States

Language:: English

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Cited by: 147 works

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