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Improving the theoretical underpinnings of processābased hydrologic models
- Source :
- Clark, M P, Schaefli, B, Schymanski, S J, Samaniego, L, Luce, C H, Jackson, B M, Freer, J E, Arnold, J R, Moore, R D, Istanbulluoglu, E & Ceola, S 2016, ' Improving the theoretical underpinnings of process-based hydrologic models ', Water Resources Research, vol. 52, no. 3, pp. 2350-2365 . https://doi.org/10.1002/2015WR017910, Clark, Martyn P.; Schaefli, Bettina; Schymanski, Stanislaus J.; Samaniego, Luis; Luce, Charles H.; Jackson, Bethanna M.; Freer, Jim E.; Arnold, Jeffrey R.; Dan Moore, R.; Istanbulluoglu, Erkan; Ceola, Serena (2016). Improving the theoretical underpinnings of process-based hydrologic models. Water resources research, 52(3), pp. 2350-2365. American Geophysical Union 10.1002/2015wr017910
- Publication Year :
- 2016
- Publisher :
- American Geophysical Union (AGU), 2016.
-
Abstract
- In this Commentary we argue that it is possible to improve the physical realism of hydrologic models by making better use of existing hydrologic theory. We address the following questions: (1) what are some key elements of current hydrologic theory; (2) how can those elements best be incorporated where they may be missing in current models; and (3) how can we evaluate competing hydrologic theories across scales and locations? We propose that hydrologic science would benefit from a model-based community synthesis effort to reframe, integrate and evaluate different explanations of hydrologic behavior, and provide a controlled avenue to find where understanding falls short. This article is protected by copyright. All rights reserved.
- Subjects :
- model evaluation
Management science
Computer science
Process (engineering)
Hydrological modelling
0208 environmental biotechnology
Multiple hypotheses
910 Geography & travel
02 engineering and technology
Cognitive reframing
multiple hypothese
hydrological modelling
020801 environmental engineering
hydrologic theory
multiple hypotheses
ComputerApplications_MISCELLANEOUS
uncertainty
Water Science and Technology
Subjects
Details
- ISSN :
- 19447973 and 00431397
- Volume :
- 52
- Database :
- OpenAIRE
- Journal :
- Water Resources Research
- Accession number :
- edsair.doi.dedup.....9dd0a504d3616aca6f45f21e2ab8e528
- Full Text :
- https://doi.org/10.1002/2015wr017910