The evolution of process-based hydrologic models: Historical challenges and the collective quest for physical realism.
By M. Clark, Marc F. P. Bierkens, Luis Samaniego, Ross A. Woods, Remko Uijlenhoet, K. Bennett, Valentijn R. N. Pauwels, Xitian Cai, A. Wood, Christa D. Peters-Lidard. Hydrology and Earth System Sciences, 2017
311 citations recorded by the source corpus.
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.
Subfields: Environmental Engineering, Global and Planetary Change, Water Science and Technology
View Paper: https://www.semanticscholar.org/paper/b3f2a6074abc730b3f97268318e493bd1063e63b
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In Environmental Engineering
In Global and Planetary Change
In Water Science and Technology
Citations in the corpus
- HESS Opinions : The complementary merits of competing modelling philosophies in hydrology (2017, background): “Over the past 5 decades innumerable studies have illustrated the value but also the limitations of models at different positions in the resolution–complexity continuum (Clark et al., 2017).”