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

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. Here, 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 also 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.
Authors:
 [1] ;  [2] ; ORCiD logo [3] ; ORCiD logo [4] ; ORCiD logo [5] ; ORCiD logo [6] ;  [7] ; ORCiD logo [8] ; ORCiD logo [1] ;  [9]
  1. National Center for Atmospheric Research, Boulder, CO (United States). Research Applications Lab.
  2. Univ. of Utrecht (Netherlands). Faculty of Geosciences
  3. Helmholtz Centre for Environmental Research (UFZ), Leipzig (Germany)
  4. Univ. of Bristol (United Kingdom). Dept. of Civil Engineering
  5. Wageningen Univ. (Netherlands). Hydrology and Quantitative Water Management Group
  6. Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
  7. Monash Univ., Melbourne, VIC (Australia). Dept. of Civil Engineering
  8. Princeton Univ., NJ (United States). Dept. of Civil and Environmental Engineering
  9. NASA Goddard Space Flight Center (GSFC), Greenbelt, MD (United States)
Publication Date:
Report Number(s):
LA-UR-17-27603
Journal ID: ISSN 1607-7938
Grant/Contract Number:
AC52-06NA25396
Type:
Accepted Manuscript
Journal Name:
Hydrology and Earth System Sciences (Online)
Additional Journal Information:
Journal Name: Hydrology and Earth System Sciences (Online); Journal Volume: 21; Journal Issue: 7; Journal ID: ISSN 1607-7938
Publisher:
European Geosciences Union (EGU)
Research Org:
Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Sponsoring Org:
USDOE
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES; Earth Sciences
OSTI Identifier:
1398930

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., and Peters-Lidard, Christa D.. The evolution of process-based hydrologic models: historical challenges and the collective quest for physical realism. United States: N. p., Web. doi:10.5194/hess-21-3427-2017.
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.. The evolution of process-based hydrologic models: historical challenges and the collective quest for physical realism. United States. doi:10.5194/hess-21-3427-2017.
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., and Peters-Lidard, Christa D.. 2017. "The evolution of process-based hydrologic models: historical challenges and the collective quest for physical realism". United States. doi:10.5194/hess-21-3427-2017. https://www.osti.gov/servlets/purl/1398930.
@article{osti_1398930,
title = {The evolution of process-based hydrologic models: historical challenges and the collective quest for physical realism},
author = {Clark, Martyn P. and Bierkens, Marc F. P. and Samaniego, Luis and Woods, Ross A. and Uijlenhoet, Remko and Bennett, Katrina E. and Pauwels, Valentijn R. N. and Cai, Xitian and Wood, Andrew W. and Peters-Lidard, Christa D.},
abstractNote = {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. Here, 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 also 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.},
doi = {10.5194/hess-21-3427-2017},
journal = {Hydrology and Earth System Sciences (Online)},
number = 7,
volume = 21,
place = {United States},
year = {2017},
month = {7}
}