Please wait a minute...

Frontiers of Earth Science

Front. Earth Sci.    2018, Vol. 12 Issue (4) : 649-652
Uncertainty in water resources: introduction to the special column
S.R. FASSNACHT1,2,3(), R.W. WEBB4,5, M. MA6
1. ESS-Watershed Science, Colorado State University, Fort Collins, CO 80523-1476, USA
2. Cooperative Institute for Research in the Atmosphere, Fort Collins, CO 80523-1375, USA
3. Natural Resources Ecology Laboratory, Fort Collins, CO 80523-1499, USA
4. Institute of Arctic and Alpine Research, University of Colorado Boulder, Boulder, CO 80309-0450, USA
5. now with Department of Civil, Construction, and Environmental Engineering, University of New Mexico, Albuquerque, NM 87131, USA
6. Research Base of Karst Eco-environments at Nanchuan in Chongqing, Ministry of Nature Resources, School of Geographical Sciences, Southwest University, Chongqing 400715, China
Download: PDF(163 KB)   HTML
Export: BibTeX | EndNote | Reference Manager | ProCite | RefWorks
Corresponding Author(s): S.R. FASSNACHT   
Online First Date: 26 October 2018    Issue Date: 20 November 2018
 Cite this article:   
S.R. FASSNACHT,R.W. WEBB,M. MA. Uncertainty in water resources: introduction to the special column[J]. Front. Earth Sci., 2018, 12(4): 649-652.
E-mail this article
E-mail Alert
Articles by authors
1 Beven K J (2016). Facets of uncertainty: epistemic uncertainty, nonstationarity, likelihood, hypothesis testing, and communication. Hydrol Sci J, 61(9): 1652–1665
2 Borgonovo E, Lu X, Plischke E, Rakovec O, Hill M C (2017). Making the most out of a hydrological model data set: sensitivity analyses to open the model black-box. Water Resour Res, 53(9): 7933–7950
3 Box G E P, Draper N R (1987). Empirical Model-Building and Response Surfaces. John Wiley and Sons, 1–688pp
4 Carsteanu A, Eris E, Volpi E, Weijs S (2016). Preface—Special issue: facets of uncertainty. Hydrol Sci J, 61(9): 1555–1556
5 Dozier J, Bair E H, Davis R E (2016). Estimating the spatial distribution of snow water equivalent in the world’s mountains. WIREs Water, 3(3): 461–474
6 Fassnacht S R, Webb R W, Sanford W E (2017). Headwater regions‒Physical, ecological, and social approaches to understand these areas: introduction to the special issue papers. Front Earth Sci, 11(3): 443–446
7 Guillaume J H A, Helgeson C, Elsawah S, Jakeman A J, Kummu M (2017). Toward best practice framing of uncertainty in scientific publications: a review of water resources research abstracts. Water Resour Res, 53(8): 6744–6762
8 Hastings W K (1970). Monte Carlo sampling methods using Markov chains and their applications. Biometrika, 57(1): 97–109
9 Hrachowitz M, Savenije H H G, Blöschl G, McDonnell J J, Sivapalan M, Pomeroy J W, Arheimer B, Blume T, Clark M P, Ehret U, Fenicia F, Freer J E, Gelfan A, Gupta H V, Hughes D A, Hut R W, Montanari A, Pande S, Tetzlaff D, Troch P A, Uhlenbrook S, Wagener T, Winsemius H C, Woods R A, Zehe E, Cudennec C (2013). A decade of predictions in Ungauged Basins (PUB)—A review. Hydrol Sci J, 58(6): 1198–1255
10 Kampf S K, Burges S J (2010). Quantifying the water balance in a planar hillslope plot: effects of measurement errors on flow prediction. J Hydrol (Amst), 380(1–2): 191–202
11 Kim S, Parinussa R M, Liu Y Y, Johnson F M, Sharma A (2015). A framework for combining multiple soil moisture retrievals based on maximizing temporal correlation. Geophys Res Lett, 42(16): 6662–6670
12 Kuichling E (1889). The relation between the rainfall and the discharge of sewers in populous districts. Trans Am Soc Civ Eng, 20: 1–56
13 McKay M D, Beckman R J, Conover W J (1979). A Comparison of three methods for selecting values of input variables in the analysis of output from a computer code. Technometrics, 21(2): 239–245
14 Montanari A (2007). What do we mean by ‘uncertainty’? The need for a consistent wording about uncertainty assessment in hydrology. Hydrol Processes, 21(6): 841–845
15 Nearing G S, Tian Y, Gupta H V, Clark M P, Harrison K W, Weijs S V (2016). A philosophical basis for hydrological uncertainty. Hydrol Sci J, 61(9): 1666–1678
16 Saltelli A, Funtowicz S (2014). When all models are wrong. Issues Sci Technol, XXX(2): 79–85
17 Sober E (2015). Ockham’s Razors: A User’s Manual. Cambridge University Press, 1–322
18 Stottlemyer R, Troendle C A (1999). Effect of subalpine canopy removal on snowpack, soil solution, and nutrient export, Fraser Experimental Forest, CO. Hydrol Processes, 13(14–15): 2287–2299<2287::AID-HYP883>3.0.CO;2-F
19 Tromp-van Meerveld H J, James A L, McDonnell J J, Peters N E (2008). A reference data set of hillslope rainfall-runoff response, Panola Mountain Research Watershed, United States. Water Resour Res, 44(6): W06502
20 Twedt T M, Schaake J C Jr, Peck E L (1977). National Weather Service Extended Streamflow Prediction. Proceedings of the 45th Annual Western Snow Conference, April 19–21, 1977, Albuquerque NM, 52–57
21 Western A W, Grayson R B, Green T R (1999). The Tarrawarra project: high resolution spatial measurement, modelling and analysis of soil moisture and hydrological response. Hydrol Processes, 13(5): 633–652<633::AID-HYP770>3.0.CO;2-8
22 Winstral A, Marks D (2014). Long-term snow distribution observations in a mountain catchment: assessing variability, time stability, and the representativeness of an index site. Water Resour Res, 50(1): 293–305
23 Zargar A, Sadiq R, Naser G, Khan F I, Neumann N N (2012). Dempster-Shafer theory for handling conflict in hydrological data: case of snow water equivalent. J Comput Civ Eng, 26(3): 434–447
Full text