Climate change impacts on groundwater hydrology – where are the main uncertainties and can they be reduced?

References

• Anagnostopoulos, G.G., et al., 2010. A comparison of local and aggregated climate model outputs with observed data. Hydrological Sciences Journal, 55 (7), 1094–1110. doi:10.1080/02626667.2010.513518
   Web of Science ®Google Scholar
• Bastola, S., Murphy, C., and Sweeney, J., 2011. The role of hydrological modelling uncertainties in climate change impact assessments of Irish river catchments. Advances in Water Resources, 34, 562–576. doi:10.1016/j.advwatres.2011.01.008
   Web of Science ®Google Scholar
• Bates, B.C., et al., eds., 2008. Climate change and water. Technical Paper of the Intergovernmental Panel on Climate Change, IPCC Secretariat, Geneva.
   Google Scholar
• Boberg, F. and Christensen, J.H., 2012. Overestimation of Mediterranean summer temperature projections due to model deficiencies. Nature Climate Change, 2, 433–436. doi:10.1038/nclimate1454
   Web of Science ®Google Scholar
• Bredehoeft, J., 2005. The conceptualization model problem - surprise. Hydrogeology Journal, 13 (1), 37–46. doi:10.1007/s10040-004-0430-5
   Web of Science ®Google Scholar
• Butts, M., et al., 2014. Embedding complex hydrology in the regional system climate system – dynamic coupling across different modelling domains. Advances in Water Resources, 74, 166–184. doi:10.1016/j.advwatres.2014.09.004
   Web of Science ®Google Scholar
• Chen, J., et al., 2011. Overall uncertainty study of the hydrological impacts of climate change for a Canadian watershed. Water Resources Research, 47, W12509. doi:10.1029/2011WR010602
   Web of Science ®Google Scholar
• Dobler, C., et al., 2012. Quantifying different sources of uncertainty in hydrological projections in an alpine watershed. Hydrology and Earth System Sciences, 16, 4343–4360. doi:10.5194/hess-16-4343-2012
   Web of Science ®Google Scholar
• Doherty, J., 2010. PEST, model-independent parameter estimation, user manual. 5th ed. Australia: Watermark Numerical Computing.
   Google Scholar
• Foley, A.M., 2010. Uncertainty in regional climate modelling: A review. Progress in Physical Geography, 34 (5), 647–670. doi:10.1177/0309133310375654
   Web of Science ®Google Scholar
• Goodall, J.L., et al., 2013. Coupling climate and hydrological models: interoperability through web services. Environmental Modelling & Software, 46, 250–259. doi:10.1016/j.envsoft.2013.03.019
   Web of Science ®Google Scholar
• Graham, L.P. and Jacob, D., 2000. Using large-scale hydrologic modelling to review runoff generation processes in GCM climate models. Meteorologische Zeitschrift/Contribution to Atmospheric Physics, 1 (1), 43–51.
   Google Scholar
• Hawkins, E. and Sutton, R., 2009. The potential to narrow uncertainty in regional climate predictions. Bulletin of the American Meteorological Society, 90, 1095–1107. doi:10.1175/2009BAMS2607.1
   Web of Science ®Google Scholar
• Hawkins, E. and Sutton, R., 2011. The potential to narrow uncertainty in projections of regional precipitation change. Climate Dynamics, 37, 407–418. doi:10.1007/s00382-010-0810-6
   Web of Science ®Google Scholar
• Hay, L.E., Wilby, R.J.L., and Leavesley, G.H., 2000. A comparison of delta change and downscaled GCM scenarios for three mountainous basins in the United States. Journal of the American Water Resources Association, 36 (2), 387–397. doi:10.1111/j.1752-1688.2000.tb04276.x
   Web of Science ®Google Scholar
• Henriksen, H.J., et al., 2012. Klimaeffekter på hydrologi og grundvand (Klimagrundvandskort). GEUS Rapport 2012/116 (In Danish). Available from: http://www.klimatilpasning.dk/media/340310/klimagrundvandskort.pdf [Accessed 3 November 2015].
   Google Scholar
• Henriksen, H.J., et al., 2003. Methodology for construction, calibration and validation of a national hydrological model for Denmark. Journal of Hydrology, 280, 52–71. doi:10.1016/S0022-1694(03)00186-0
   Web of Science ®Google Scholar
• Huard, D., 2011. A black eye for the Hydrological Sciences Journal. Discussion of “A comparison of local and aggregated climate model outputs with observed data” by G.G. Anagnostopoulos et al. (2010) Hydrological Sciences Journal 55(7),1094-1110. Hydrological Sciences Journal, 56 (7), 1330–1333. doi:10.1080/02626667.2011.610758
   Web of Science ®Google Scholar
• IPCC, 2013. Climate change 2013: The physical science basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change [Stocker, T. F., D. Qin, G.-K. Plattner, M. Tignor, S. K. Allen, J. Boschung, A. Nauels, Y. Xia, V. Bex and P. M. Midgley (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, 1535 pp.
   Google Scholar
• Jiménez Cisneros, B.E., et al., 2014. Freshwater resources. In: Climate Change 2014: Impacts, Adaptation, and Vulnerability. Part A: Global and Sectoral Aspects. Contribution of Working Group II to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change [Field, C.B., Barros, V.R., Dokken, D.J., Mach, K.J., Mastrandrea, M.D., Bilir, T.E., Chatterjee, M., Ebi, K.L., Estrada, Y.O., Genova, R.C., Girma, B., Kissel, E.S., Levy, A.N., MacCracken, S., Mastrandrea, P.R. and White, L.L. (eds.)]. Cambridge University Press, Cambridge, UK and New York, NY, pp. 229–269.
   Google Scholar
• Karlsson, I.B., et al., 2016. Combined effects of climate models, hydrological model structures and land use scenarios on hydrological impacts of climate change. Journal of Hydrology, 535, 301–317. doi:10.1016/j.jhydrol.2016.01.069
   Web of Science ®Google Scholar
• Karlsson, I.B., et al., 2015. Effect of a high-end CO2-emission scenario on hydrology. Climate Research, 64, 39–54. doi:10.3354/cr01265
   Web of Science ®Google Scholar
• Kendon, E.J., et al., 2014. Heavier summer downpours with climate change revealed by weather forecast resolution model. Nature Climate Change, 4 (7), 570–576. doi:10.1038/nclimate2258
   Web of Science ®Google Scholar
• Kidmose, J., et al., 2013. Climate change impact on groundwater levels: ensemble modelling of extreme values. Hydrology and Earth System Sciences, 17, 1619–1634. doi:10.5194/hess-17-1619-2013
   Web of Science ®Google Scholar
• Klemes, V., 1986. Operational testing of hydrological simulation models. Hydrological Sciences Journal, 31, 13–24. doi:10.1080/02626668609491024
   Web of Science ®Google Scholar
• Kollet, S.J. and Maxwell, R.M., 2008. Capturing the influence of groundwater dynamics on land surface processes using an integrated, distributed watershed model. Water Resources Research, 44, W02402. doi:10.1029/2007WR006004
   Web of Science ®Google Scholar
• Koutsoyiannis, D., et al., 2011. Scientific dialogue on climate: is it giving black eyes or opening closed eyes? Reply to “A black eye for the Hydrological Sciences Journal” by D. Huard. Hydrological Sciences Journal, 56 (7), 1334–1339. doi:10.1080/02626667.2011.610759
   Web of Science ®Google Scholar
• Kundzewicz, Z.W. and Stakhiv, E.Z., 2010. Are climate models “ready for prime time” in water resources management applications, or is more research needed?. Hydrological Sciences Journal, 55 (7), 1085–1089. doi:10.1080/02626667.2010.513211
   Web of Science ®Google Scholar
• Larsen, M.A.D., et al., 2016a. Calibration of a distributed hydrology and land surface model using energy flux measurement. Agricultural and Forest Meteorology, 217, 74–88. http://dx.doi.org/10.1016/j.agrformet.2015.11.012
   Google Scholar
• Larsen, M.A.D., et al., 2016b. Local control on precipitation in a fully coupled climate-hydrology model. Scientific Reports, 6, 22927. doi:10.1038/srep22927
   Google Scholar
• Larsen, M.A.D., et al., 2016c. Assessing the influence of groundwater and land surface scheme in the modelling of land surface-atmosphere feedbacks over the FIFE area in Kansas, USA. Environmental Earth Sciences, 75, 130. doi:10.1007/s12665-015-4919-0
   Web of Science ®Google Scholar
• Larsen, M.A.D., et al., 2014. Results from a full coupling of the HIRHAM regional climate model and the MIKE SHE hydrological model for a Danish catchment. Hydrology and Earth System Sciences, 18, 4733–4749. doi:10.5194/hess-18-4733-2014
   Web of Science ®Google Scholar
• Larsen, M.A.D., et al., 2013. On the role of domain size and resolution in the simulations with the HIRHAM region climate model. Climate Dynamics, 40, 2903–2918. doi:10.1007/s00382-012-1513-y
   Web of Science ®Google Scholar
• Maxwell, R.M., Chow, F.K., and Kollet, S.J., 2007. The groundwater-land-surface-atmosphere connection: soil moisture effects on atmospheric boundary layer in fully-coupled simulations. Advances in Water Resources, 30, 2447–2466. doi:10.1016/j.advwatres.2007.05.018
   Web of Science ®Google Scholar
• Maxwell, R.M. and Kollet, S.J., 2008. Interdependence of groundwater dynamics and land-energy feedbacks under climate change. Nature Geoscience, 1 (10), 665–669. doi:10.1038/ngeo315
   Web of Science ®Google Scholar
• Maxwell, R.M., et al., 2011. Development of a coupled groundwater-atmosphere model. Monthly Weather Review, 39, 96–116. doi:10.1175/2010MWR3392.1
   Web of Science ®Google Scholar
• Olsson, J., et al., 2011. Using an ensemble of climate projections for simulating recent and near-future hydrological change to lake Vänern in Sweden. Tellus, 63A, 126–137. doi:10.1111/j.1600-0870.2010.00476.x
   Google Scholar
• Piani, C., Haerter, J.O., and Coppola, E., 2010. Statistical bias correction for daily precipitation in regional climate models over Europe. Theoretical and Applied Climatology, 99, 187–192. doi:10.1007/s00704-009-0134-9
   Web of Science ®Google Scholar
• Poulin, A., et al., 2011. Uncertainty of hydrological modelling in climate change impact studies in a Canadian, snow-dominated river basin. Journal of Hydrology, 409, 626–636.
   Web of Science ®Google Scholar
• Rasmussen, J., et al., 2012a. Climate change effects on irrigation demands and minimum stream discharge: impact of bias-correction method. Hydrology and Earth System Sciences, 16, 4675–4691.
   Web of Science ®Google Scholar
• Rasmussen, S.H., et al., 2012b. Parameterisation and scaling of the land surface model for use in a coupled climate hydrological model. Journal of Hydrology, 426-427, 63–78.
   Web of Science ®Google Scholar
• Refsgaard, J.C., et al., 2013. The role of uncertainty in climate change adaptation strategies – A Danish water management example. Mitigation and Adaptation Strategies for Global Change, 18 (3), 337–359.
   Web of Science ®Google Scholar
• Refsgaard, J.C., et al., 2012. Review of strategies for handling geological uncertainty in groundwater flow and transport modelling. Advances in Water Resources, 36, 36–50.
   Web of Science ®Google Scholar
• Refsgaard, J.C., et al., 2014. A framework for testing the ability of models to project climate change and its impacts. Climatic Change, 122 (1), 271–282.
   Web of Science ®Google Scholar
• Refsgaard, J.C., et al., 2007. Uncertainty in the environmental modelling process – A framework and guidance. Environmental Modelling & Software, 22, 1543–1556.
   Web of Science ®Google Scholar
• Rihani, J., Maxwell, R.M., and Chow, F.K., 2010. Coupling groundwater and land surface processes: Idealized simulations to identify effects of terrain and subsurface heterogeneity on land surface energy fluxes. Water Resources Research, 46, W12523.
   Web of Science ®Google Scholar
• Rummukainen, M., et al., 2015. 21st century challenges in regional climate modelling. Bulletin of the American Meteorological Society, 96, ES135–ES138.
   Web of Science ®Google Scholar
• Seaby, L.P., et al., 2013. Assessment of robustness and significance of climate change signals for an ensemble of distribution-based scaled climate projections. Journal of Hydrology, 486, 479–493.
   Web of Science ®Google Scholar
• Seaby, L.P., et al., 2015. Spatial uncertainty in bias corrected climate change projections and hydrological impacts. Hydrological Processes, 29 (20), 4514–4532.
   Web of Science ®Google Scholar
• Seifert, D., et al., 2012. Assessment of hydrological model predictive ability given multiple conceptual geological models. Water Resources Research, 48, WR011149.
   Web of Science ®Google Scholar
• Sellers, P.J. and Hall, F.G., 1992. FIFE in 1992 – results, scientific gains and future research directions. Journal of Geophysical Research, 97 (D17), 19033–19059.
   Web of Science ®Google Scholar
• Somerville, R., et al., 2007. Historical overview of climate change. In: Climate Change 2007: The Physical Science Basis. Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change [Solomon, S., D. Qin, M. Manning, Z. Chen, M. Marquis, K.B. Averyt, M. Tignor and H.L. Miller (eds.)]. Cambridge University Press, Cambridge, UK and New York, NY.
   Google Scholar
• Sonnenborg, T.O., Seifert, D., and Refsgaard, J.C., 2015. Climate model uncertainty versus conceptual geological uncertainty in hydrological modelling. Hydrology and Earth System Sciences, 19, 3891–3901.
   Web of Science ®Google Scholar
• Stevens, B. and Bony, S., 2013. What are climate models missing? Science, 340, 1053–1054.
   PubMed Web of Science ®Google Scholar
• Teutschbein, C. and Seibert, J., 2013. Is bias correction of regional climate model (RCM) simulations possible for non-stationary conditions? Hydrology and Earth System Sciences, 17, 5061–5077.
   Web of Science ®Google Scholar
• van der Linden, P. and Mitchell, J.F.B. (Eds.), 2009. Summary of research and results from the ENSEMBLES project. ENSEMBLES: climate change and its impacts. Meteorological Office Hadley Centre, Exeter.
   Google Scholar
• van Roosmalen, L., Christensen, B.S.B., and Sonnenborg, T.O., 2007. Regional differences in climate change impacts on groundwater and stream discharge in Denmark. Vadose Zone Journal, 6, 554–571.
   Web of Science ®Google Scholar
• van Roosmalen, L., et al., 2011. Comparison of hydrological simulations of climate change using perturbations of observations and distribution-based scaling. Vadose Zone Journal, 10, 136–150.
   Web of Science ®Google Scholar
• Vansteenkiste, T., et al., 2014. Intercomparison of hydrological model structures and calibration approaches in climate scenario impact projections. Journal of Hydrology, 519, 743–755.
   Web of Science ®Google Scholar
• Velázquez, J.A., et al., 2013. An ensemble approach to assess hydrological models’ contribution to uncertainties in the analysis of climate change impact on water resources. Hydrology and Earth System Sciences, 17, 565–578.
   Web of Science ®Google Scholar
• Vilhelmsen, T.N., 2012. Modeling groundwater flow in geological complex areas using local grid refinement, combined parameterization methods, and joint inversion. Thesis (PhD). Aarhus University. Available from: www.hyacints.dk [Accessed 3 November 2015].
   Google Scholar
• Wilby, R.L., 2010. Evaluating climate model outputs for hydrological applications. Hydrological Sciences Journal, 55 (7), 1090–1093.
   Web of Science ®Google Scholar
• Wilby, R.L. and 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.
   Web of Science ®Google Scholar
• Zabel, F. and Mauser, W., 2013. 2-way coupling the hydrological land surface model PROMET with the regional climate model MM5. Hydrology and Earth System Sciences, 17, 1705–1714.
   Web of Science ®Google Scholar