Uncertainty in hydrologic modelling for estimating hydrologic response due to climate change (Santiam River, Oregon)

Hydrological Processes

Volumn 27, Issue 25, 2013, Pages 3560-3576

  Surfleet, Christopher G ^a   Tullos, Desirée ^a  

^a OREGON STATE UNIVERSITY   (United States)

Author keywords

Climate change; DREAM; GSFLOW; Hydrologic model; Hydrology; Uncertainty

Indexed keywords

CLIMATE CHANGE; EVOLUTIONARY ALGORITHMS; FORECASTING; GROUNDWATER; HYDROGEOLOGY; HYDROLOGY; MATHEMATICAL MODELS; RUNOFF; WATER RESOURCES;

DIFFERENTIAL EVOLUTION; DREAM; GLOBAL CIRCULATION MODEL; GSFLOW; HYDROLOGIC MODELING; HYDROLOGIC PREDICTION; UNCERTAINTY; UNCERTAINTY ESTIMATES;

UNCERTAINTY ANALYSIS;

CLIMATE CHANGE; FLOW MODELING; GROUNDWATER FLOW; HYDROGEOLOGY; HYDROLOGICAL MODELING; HYDROLOGICAL RESPONSE; LOW FLOW; PEAK FLOW; RIVER BASIN; RUNOFF; UNCERTAINTY ANALYSIS;

OREGON; SANTIAM RIVER; UNITED STATES;

EID: 84898547866     PISSN: 08856087     EISSN: 10991085     Source Type: Journal    
DOI: 10.1002/hyp.9485     Document Type: Article

References (64)

1. Baldwin E. 1981. Geology of Oregon. Kendall/Hunt Publishing Co.: Dubuque, Iowa; 170.
2. Battin J, Wiley M, Ruckelshaus M, Palmer R, Korb E, Bartz K, Imaki H. 2007. Projected changes of climate change on salmon habitat restoration. Proceedings of the National Academy of Sciences 104(16): 6720-6725. DOI: 10.1073/pnas.07168104
3. Bedient P, Huber W. 1992. Hydrology and floodplain analysis. Addison-Wesley Publishing Co: Reading, MA; 692.
4. Beven K. 1993. Prophecy, reality and uncertainty in distributed hydrological modeling. Advance Water Resource 16: 41-51.
5. Beven K. 2001. Rainfall-Runoff Modeling - The Primer. Wiley: Chichester, UK; 356.
6. Beven K, Binley A. 1992. The future of distributed models: model calibration and uncertainty prediction. Hydrologic Processes 6: 279-298.
7. Brazier R, Beven K, Freer J, Rowan J. 2000. Equifinality and uncertainty in physically based soil erosion models: application of the GLUE methodology to WEPP-the Water Erosion Prediction Project-for sites in the UK and USA. Earth Surface Processes and Landforms 25: 825-845.
8. Buytaert W, Celleri R, Timbe L. 2009. Predicting climate change impacts on water resources in the tropical Andes: Effects of GCM uncertainty. Geophysical Research Letters 36: L07406. DOI:10.1029/2008GL037048
9. Cameron D, Bevens K, Naden P. 2000. Flood frequency estimation by continuous simulation under climate change (with uncertainty). Hydrology and Earth System Sciences 4(3): 395-405.
10. Chang H, Jung I. 2010. Spatial and temporal changes in runoff caused by climate change in a complex river basin in Oregon. Journal of Hydrology 388: 186-207.
11. Collins W, Bitz C, Blackmon M, Bonan G, Bretherton C, Carton J, Chang P, Doney S, Hack J, Henderson T, Kiehl J, Large W, McKenna D, Santer B, Smith R. 2006. The community climate system model version 3 (CCSM3). Journal of Climate 19: 2122-2143.
12. Demaria EM, Nijssen B, Wagener T. 2007. Monte Carlo sensitivity analysis of land surface parameters using the Variable Infiltration Capacity model. Journal of Geophysical Research 112: D11113. DOI:10.1029/2006JD007534
13. Eckhardt K, Ulbrich U. 2003. Potential impacts of climate change on groundwater recharge and streamflow in a central European low mountain range. Journal of Hydrology 284(1-4): 244-252.
14. Elsasser H, Bürki R. 2002. Climate change as a threat to tourism in the Alps. Climate Research 20: 253-257.
15. Feddema J, Oleson K, Bonan G, Mearns L, Buja L, Meehl G, Washington M. 2005. The importance of land-cover change in simulating future climates. Science 310(5754): 1674-1678. DOI: 10.1126/science.1118160
16. Gellens D, Roulin E. 1998. Streamflow response of Belgian catchments to IPCC climate change scenarios. Journal of Hydrology 210(1-4): 242-258.
17. Ghosh S, Mujumdar PP. 2009. Climate change impact assessment: Uncertainty modeling with imprecise probability. Journal of Geophysical Research 114: D18113. DOI:10.1029/2008JD011648
18. Gordon C, Cooper C, Senior C, Banks H, Gregory J, Johns T, Mitchell J, Wood R. 2000. The simulation of SST, sea ice extents and ocean heat transports in a version of the Hadley Centre coupled model without flux adjustments. Climate Dynamics 16: 147-168.
19. Hamlet A, Carrasco P, Deems J, Elsner M, Kamstra T, Lee C, Lee S-Y, Mauger G, Salathe E, Tohver I, Whitely Binder L. 2010. Final Project Report for the Columbia Basin Climate Change Scenarios Project. Accessed Sept. 2011: http://www.hydro.washington.edu/2860/report/
20. Harbaugh A. 2005. MODFLOW-2005, the U.S. Geological Survey modular ground-water model--the Ground-Water Flow Process. U.S. Geological Survey Techniques and Methods 6-A16, variously paginated.
21. Intergovernmental Panel on Climate Change (IPCC). 2007. Climate Change 2007: The Scientific Basis. IPCC Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press, Cambridge. Available online and accessed Sept. 2011: http://www.ipcc.ch/publications_and_data/publications_and_data_reports.shtml
22. Pielke Jr, R. 2009. Collateral damage from the death of Stationarity. GEWEX - Global Energy and Water Cycle Experiment 5-7, May 2009.
23. Jungclaus J, Botzet M, Haak H, Keenlyside N, Luo J, Latif M, Marotzke J, Mikolajewicz U, Roeckner E 2006. Ocean circulation and tropical variability in the coupled model ECHAM5/MPI-OM. Journal of Climate 19: 3952-3972.
24. K-1 model developers. 2004. K-1 coupled model (MIROC) descrption. In K-1 technical report 1: Center for Climate System Research, Hasumi H, Emori S (eds). University of Tokyo: Tokyo, Japan; 34.
25. Kay AL, Davies HN, Bell VA, Jones RG. 2009. Comparison of uncertainty sources for climate change impacts: Flood frequency in England. Climatic Change 92: 41-63.
26. Koster RD, Dirmeyer PA, Guo ZC, Bonan G, Chan E, Cox P, Gordon CT, Kanae S, Kowalczyk E, Lawrence D, Liu P, Luo CH, Malyshev S, McAvaney B, Mitchell K, Mocko D, Oki T, Oleson K, Pitman A, Sud YC, Taylor CM, Verseghy D, Vasic R, Xue YK, Yamada T. 2004. Regions of strong coupling between soil moisture and precipitation. Science 305(5687): 1138. DOI:10.1126/ science.1100217
27. Laenen A, Risley J. 1997. Precipitation-runoff and streamflow-routing models for the Williamette River basin, Oregon. USGS Water Res. Investigation Rep. 95-4284. 197.
28. Leavesley G, Lichty R, Troutman B, Saindon L. 1983. Precipitation-runoff modeling system-user's manual. U.S. Geological Survey Water-Resources Investigations Report 83-4238, 207.
29. Lee K, Risley J. 2002. Estimates of ground-water recharge, base flow and stream reach gains and losses in the Williamette River basin, Oregon. U.S. Geological Survey Water-Resources Investigations Report 01-4215, 53.
30. Liang X, Guo J. 2003. Intercomparison of land surface parameterization schemes: Sensitivity of surface energy and water fluxes to model parameters. Journal of Hydrology 279: 182-209. DOI:10.1016/S0022-1694(03)00168-9
31. Marks D, Kimball K, Tingey D, Link T. 1998. The sensitivity of snowmelt processes to climate conditions and forest cover during rain-on-snow: a case study of the 1996 Pacific Northwest flood. Hydrological Processes 12: 1569-1587.
32. Markstrom S, Niswonger R, Regan R, Prudic D, Barlow P. 2008. GSFLOW--Coupled Ground-water and Surface-water FLOW model based on the integration of the Precipitation-Runoff Modeling System (PRMS) and the Modular Ground-Water Flow Model (MODFLOW-2005). U.S. Geological Survey Techniques and Methods 6-D1, 240.
33. Marti O, Bracommot P, Bellier J, Benshila R, Bony S, Brockmann P, Cadulle P, Caubel A, Denvil S, Dufresne J, Fairhead L, Filiberti M, Hourdin F, Krinner G, Levy C, Musat I, Talandier C. 2005. The new IPSL climate system model: IPSL-CM4. Institut Poerre Simon Laplace des Sciences de l'Environnement Global. Accessed Sept. 2010: http://dods.ipsl.jussieu.fr/omamce/IPSLCM4/
34. Maurer E. 2007. Uncertainty in hydrologic impacts of climate change in the Sierra Nevada, California, under two emissions scenarios. Climatic Change 82: 309-325.
35. Maurer E, Duffy P. 2005. Uncertainty in projections of streamflow changes due to climate change in California. Geophysical Research Letters 32. DOI 10.1029/2004GL021462
36. McFarland W. 1983. A description of aquifer units in Western Oregon. US Geological Survey Open-File Report 82-165, 35.
37. Merz R, Parajka J, Blöschl G. 2011. Time stability of catchment model parameters: Implications for climate impact analyses. Water Resources Research 47: W02531. DOI:10.1029/2010WR009505
38. Milly PCD, Betancourt J, Falkenmark M. 2008. Climate Change: Stationarity Is Dead: Whither Water Management? Science 319(5863): 573-574.
39. Min S, Legutke S, Hense A, Kwon W. 2005. Internal variability in a 1000-year control simulation with the coupled climate model ECHO-G. Part I. Near-surface temperature, precipitation and sea level pressure. Tellus 57A: 605-621.
40. Montanari A. 2007. What do we mean by uncertainty? The need for a consistent wording about uncertainty assessment in hydrology. Hydrologic Processes 21(6): 841-845. DOI:10.1002/hyp.6623
41. Mote P, Parson E, Hamlet A, Ideker K, Keeton W, Lettenmaier D, Mantua N, Miles E, Peterson D, Peterson D, Slaughter R, Snover A. 2003. Preparing for climate change: the water, salmon, and forests of the Pacific Northwest. Climatic Change 61: 45-88.
42. National Oceanic and Atmospheric Administration Cooperative Observer Program (NOAA COOP). 2010. Daily precipitation and maximum & minimum temperature data. Accessed from the Internet July 1, 2010: http://www.nws.noaa.gov/om/coop
43. Natural Resources Conversation Service (NRCS). 1986. General soil map, state of Oregon. Portland, Oregon, Natural Resource Conservation Service, scale 1:1000, 000.
44. Natural Resources Conversation Service Snow Telemetry System (NRCS SNOTEL). 2010. Accessed from the Internet July 1, 2010: http://www.or.nrcs.usda.gov/snow/maps/oregon_sitemap.html
45. Oregon Climate Service. 2010. PRISM map of annual precipitation of the United States. downloaded from the Internet on July 28, 2010 at: http://www.ocs.oregonstate.edu/index.html
46. Pappenberger F, Beven K, Hunter N, Bates P, Gouweleeuw B, Thielen J, de Roo APJ. 2005. Cascading model uncertainty from medium range weather forecasts (10 days) through a rainfall-runoff model to flood inundation predictions within the European Flood Forecasting System (EFFS). Hydrology and Earth System Sciences 9(4): 381-393.
47. Rosero E, Yang ZL, Wagener T, Gulden LE, Yatheendradas S, Niu GY. 2010. Quantifying parameter sensitivity, interaction, and transferability in hydrologically enhanced versions of the Noah land surface model over transition zones during the warm season. Journal of Geophysical Research 115: D03106. DOI:10.1029/2009JD012035
48. Scott D, McBoyle G, Mills B. 2003. Climate change and the skiing industry in southern Ontario (Canada): exploring the importance of snowmaking as a technical adaptation. Climate Research 23: 171-181.
49. Singh R, Wagener T, van Werkhoven K, Mann M, Crane R. 2011. A trading-space-for-time approach to probabilistic continuous streamflow predictions in a change climate - accounting for changing watershed behavior. Hydrology and Earth System Sciences 15: 3591-3603. DOI: 10.5194/hess-15-3591-2011
50. Tague C, Grant G. 2004. A geologic framework for interpreting the low-flow regimes of Cascade streams, Williamette River Basin, Oregon. Water Resources Research 40: W04303. DOI: 10.1029/2003WR002629, 9 p
51. Tague C, Grant G, Farrell M, Choate J, Jefferson A. 2008. Deep groundwater mediates streamflow response to climate warming in the Oregon Cascades. Climatic Change 86: 189-210. DOI: 10.1007/s10584-007-9294-8
52. Terray L, Valcke S, Piacentini A. 1998. Oasis 2.2 Ocean Atmosphere Sea Ice Soil. User's Guide and Reference Manual, Technical Report TR/CMGC/98-05, CERFACS, Toulouse, France.
53. UK Climate Projections. 2012. Climate change projections what to be aware of. Accessed Internet June 29, 2012: http://ukclimateprojections.defra.gov.uk/22552
54. US Geological Survey (USGS) Seamless. 2009. National Map Seamless Server. Accessed Internet Dec. 10, 2009: http://seamless.usgs.gov/index.php
55. US Geological Survey National Water Information System (USGS NWIS). 2010. USGS Surface-Water Data for the Nation. Accessed Internet July 1, 2010: http://waterdata.usgs.gov/nwis/sw
56. Vaze J, Post D, Chiew F, Perraud J-M, Viney N, Teng J. 2010. Climate non-stationarity - Validity of calibrated rainfall-runoff models for use in climate change studies. Journal of Hydrology 394(3-4): 447-457. DOI:10.1016/j.jhydrol.2010.09.018
57. Vrugt J, ter Braak C, Diks C, Gupta H, Robinson B. 2009a. Equilifinality of formal (DREAM) and informal (GLUE) Bayesian approaches in hydrologic modeling? Stochastic Environmental Research and Risk Assessment 23: 1011-1026.
58. Vrugt J, ter Braak C, Diks C, Higdon D, Robinson B, Hyman J. 2009b. Accelerating Markov chain Monte Carlo simulation by differential evolution with self-adaptive randomized subspace sampling, International Journal of Nonlinear Sciences and Numerical Simulation 10(3): 273-290.
59. Washington W, Weatherly J, Meehl G, Semtner A, Bettge T, Craig A, Strand W, Arblaster J, Wayland V, James R, Zhang Y. 2000. Parallel climate model (PCM) control and transient simulations. Climate Dynamics 16: 755-774.
60. van Werkhoven K, Wagener T, Reed P, Tang Y. 2008. Characterization of watershed model behavior across a hydroclimatic gradient. Water Resources Research 44: W01429. DOI:10.1029/2007WR006271
61. Wilby RL. 2005. Uncertainty in water resource model parameters used for climate change impact assessment. Hydrological Processes 19: 3201-32219. DOI:10.1002/hyp.5819
62. Wilby RL, Harris I. 2006. A framework for assessing uncertainties in climate change impacts: Low-flow scenarios for the River Thames. UK. Water Resources Research. 42: W02419. DOI:10.1029/2005WR004065
63. Wood A, Maurer E, Kumar A, Lettenmaier D. 2002. Long-range experimental hydrologic forecasting for the eastern United States. Journal of Geophysical Research-Atmospheres 107: 4429-4443.
64. Yang D, Kane DL, Hinzman LD, Zhang X, Zhang T, Ye H. 2002. Siberian Lena River hydrologic regime and recent change. Journal of Geophysical Research 107(D23): 4694. DOI:10.1029/2002JD002542.10p