Journal cover Journal topic
Hydrology and Earth System Sciences An interactive open-access journal of the European Geosciences Union
doi:10.5194/hess-2016-693
© Author(s) 2017. This work is distributed
under the Creative Commons Attribution 3.0 License.
Review article
16 Jan 2017
Review status
This discussion paper is under review for the journal Hydrology and Earth System Sciences (HESS).
The evolution of process-based hydrologic models: Historical challenges and the collective quest for physical realism
Martyn P. Clark1, Marc F. P. Bierkens2, Luis Samaniego3, Ross A. Woods4, Remko Uijenhoet5, Katrina E. Bennet6, Valentijn R. N. Pauwels7, Xitian Cai8, Andrew W. Wood1, and Christa D. Peters-Lidard9 1Research Applications Laboratory, National Ce nter for Atmospheric Research, Boulder, CO 80301, USA
2Faculty of Geosciences, Utrecht University, 3508 TC Utrecht, The Netherlands
3UFZ-Helmholtz Centre for Environmental Research, Leipzig, 04318, Germany
4Department of Civil Engineering, University of Bristol, Bristol, BS8 1TR, UK
5Hydrology and Quantitative Water Management Group, Wageningen University, 6700 AA Wageningen, The Netherlands
6Los Alamos National Laboratory, Los Alamos, NM 87545, USA
7Department of C ivil Engineering, Monash University, Victoria 3800, Australia
8Department of Civil Engineering, Princeton University, Princeton, NJ 08544 USA
9Earth Sciences Division, NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA
Abstract. 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, outlined by Freeze and Harlan nearly 50 years ago, 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, summarize 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.

Citation: Clark, M. P., Bierkens, M. F. P., Samaniego, L., Woods, R. A., Uijenhoet, R., Bennet, K. E., Pauwels, V. R. N., Cai, X., Wood, A. W., and Peters-Lidard, C. D.: The evolution of process-based hydrologic models: Historical challenges and the collective quest for physical realism, Hydrol. Earth Syst. Sci. Discuss., doi:10.5194/hess-2016-693, in review, 2017.
Martyn P. Clark et al.
Martyn P. Clark et al.
Martyn P. Clark et al.

Viewed

Total article views: 772 (including HTML, PDF, and XML)

HTML PDF XML Total BibTeX EndNote
545 217 10 772 3 17

Views and downloads (calculated since 16 Jan 2017)

Cumulative views and downloads (calculated since 16 Jan 2017)

Viewed (geographical distribution)

Total article views: 772 (including HTML, PDF, and XML)

Thereof 768 with geography defined and 4 with unknown origin.

Country # Views %
  • 1

Saved

Discussed

Latest update: 27 Apr 2017
Publications Copernicus
Download
Short summary
The diversity in hydrologic models has led to controversy on the “correct” approach to hydrologic modeling. In this paper we revisit key modeling challenges, outlined by Freeze and Harlan nearly 50 years ago, 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, summarize modeling advances that address these challenges, and define outstanding research needs.
The diversity in hydrologic models has led to controversy on the “correct” approach to...
Share