Climatic Change

, Volume 28, Issue 1–2, pp 159–177 | Cite as

Modeling the effects of climate change on water resources - a review

  • George H. Leavesley
Article

Abstract

Hydrologic models provide a framework in which to conceptualize and investigate the relationships between climate and water resources. A review of current studies that assess the impacts of climate change using hydrologic models indicates a number of problem areas common to the variety of models applied. These problem areas include parameter estimation, scale, model validation, climate scenario generation, and data. Research needs to address these problems include development of (1) a more physically based understanding of hydrologic processes and their interactions; (2) parameter measurement and estimation techniques for application over a range of spatial and temporal scales; (3) quantitative measures of uncertainty in model parameters and model results; (4) improved methodologies of climate scenario generation; (5) detailed data sets in a variety of climatic and physiographic regions; and (6) modular modeling tools to provide a framework to facilitate interdisciplinary research. Solutions to these problems would significantly improve the capability of models to assess the effects of climate change.

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References

  1. Abbott, M. B., Bathurst, J. C., Cunge, J. A., O'Connell, P. E., and Rasmussen, J.: 1986, ‘An Introduction to the European Hydrological System - Systeme Hydrologique Europeen, SHE, 1. History and Philosophy of a Physically-Based, Distributed Modeling System’,J. Hydrol. 87, 45–59.Google Scholar
  2. Alberty, R., Crum, T., and Toepfer, F.: 1991, ‘The NEXRAD Program: Past, Present, and Future; A 1991 Perspective’, Conference Proceedings of International Conference on Radar Meteorology, American Meteorology Society, June 24-28.Google Scholar
  3. Anderson, E. A.: 1973, ‘National Weather Service River Forecast System - Snow Accumulation and Ablation Model’,NOAA Technical Memorandum NWS Hydro-17, U.S. Department of Commerce, Silver Springs, MD.Google Scholar
  4. Arnell, N. W.: 1992, ‘Factors Controlling the Effects of Climate Change on River Flow Regimes in a Humid Temperate Environment’,J. Hydrol. 132, 321–342.Google Scholar
  5. Bathurst, J. C. and O'Connell, P. E.: 1992, ‘Future of Distributed Parameter Modelling: The Systeme Hydrologique Europeen’,Hydrol. Proc. 6, 265–277.Google Scholar
  6. Becker, A. and Serban, P.: 1990,Hydrological Models for Water-Resources System Design and Operation, World Meteorological Organization, Operational Hydrology Report No. 34, WMO No. 740.Google Scholar
  7. Bergstrom, S.: 1976, ‘Development and Application of a Conceptual Runoff Model for Scandinavian Catchments’, Department of Water Resources Engineering, Lund Institute of Technology, Bulletin Series A-52, Swedish Meteorological and Hydrological Institute (Norrköping, Sweden).Google Scholar
  8. Beven, K.: 1985, ‘Distributed Models’, in Anderson, M. G. and Burt, T. P. (eds.),Hydrol. Forcast., J. Wiley and Sons, Chichester, England.Google Scholar
  9. Beven, K.: 1989, ‘Changing Ideas in Hydrology - The Case of Physically Based Models’,J. Hydrol. 105, 157–172.Google Scholar
  10. Beven, K. and Binley, A.: 1992, ‘The Future of Distributed Models: Model Calibration and Uncertainty Prediction’,Hydrol. Proc. 6, 279–298.Google Scholar
  11. Bultot, F. and Dupriez, G. L.: 1976, ‘Conceptual Hydrological Model for an Average-Sized Catchment Area, I. Concepts and Relationships’,J. Hydrol. 29, 251–272.Google Scholar
  12. Bultot, F., Coppens, A., Dupriez, G. L., Gellens, D., and Meulenberghs, F.: 1988, ‘Repercussions of a CO2 Doubling on the Water Cycle and on the Water Balance - A Case Study for Belgium’,J. Hydrol. 99, 319–347.Google Scholar
  13. Bultot, F., Gellens, D., Spreafico, M., and Schädler, B.: 1992, ‘Repercussions of CO2 Doubling on the Water Balance - A Case Study in Switzerland’,J. Hydrol. 137, 199–208.Google Scholar
  14. Burnash, R. J. C., Ferral, R. L., and McGuire, R. A.: 1973, ‘A Generalized Streamflow Simulation System, Conceptual Modeling for Digital Computers’, U.S. Department of Commerce, National Weather Service and State of California, Department of Water Resources, Sacramento, CA.Google Scholar
  15. Cooley, K. R.: 1990, ‘Effects of CO2-Induced Climatic Changes on Snowpack and Streamflow’,Hydrol. Sci. 35, 5, 511-522.Google Scholar
  16. Dooge, J. C. I.: 1992, ‘Hydrologic Models and Climate Change’,J. Geophys. Res. 97 D3, 2677-2686.Google Scholar
  17. Dozier, J.: 1992, ‘Opportunities to Improve Hydrologic Data’,Rev. Geophys. 30, 4, 315-331.Google Scholar
  18. Dunne, T.: 1983, ‘Relation of Field Studies and Modeling in the Prediction of Storm Runoff’,J. Hydrol. 65, 25–48.Google Scholar
  19. Easterling, W. E., Rosenberg, N. J., McKenney, M. S., and Jones, C. A.: 1992a, ‘An Introduction to the Methodology, the Region of Study, and a Historical Analog of Climate Change’,Agric. Forest Met. 59, 3–15.Google Scholar
  20. Easterling, W. E., Rosenberg, N. J., McKenney, M. S., Jones, C. A., Dyke, P. T., and Williams, J. R.: 1992b, ‘Preparing the Erosion Productivity Impact Calculator (EPIC) Model to Simulate Crop Response to Climate Change and the Direct Effects of CO2’,Agric. Forest Met. 59, 17–34.Google Scholar
  21. Engman, E. T. and Gurney, R. J.: 1991,Remote Sens. Hydrol., Chapman and Hall, London.Google Scholar
  22. Franchini, M. and Pacciani, M.: 1991, ‘Comparative Analysis of Several Conceptual Rainfall-Runoff Models’,J. Hydrol. 122, 161–219.Google Scholar
  23. Gan, T. Y. and Burges, S. J.: 1990, ‘An Assessment of a Conceptual Rainfall-Runoff Model's Ability to Represent the Dynamics of Small Hypothetical Catchments, 2. Hydrologic Responses for Normal and Extreme Rainfall’,Water Resource Res. 26, 7, 1605-1619.Google Scholar
  24. Gleick, P. H.: 1987a, ‘The Development and Testing of a Water Balance Model for Climate Impact Assessment: Modeling the Sacramento Basin’,Water Resource Res. 23, 6, 1049-1061.Google Scholar
  25. Gleick, P. H.: 1987b, ‘Regional Hydrologic Consequences of Increases in Atmospheric CO2 and Other Trace Gases’,Clim. Change 10, 137–161.Google Scholar
  26. Grayson, R. B., Moore, I. D., and McMahon, T. A.: 1992, ‘Physically Based Hydrologic Modeling, 2. Is the Concept Realistic?’,Water Resource Res. 26, 10, 2659-2666.Google Scholar
  27. Grotch, S. L. and MacCracken, M. C.: 1991, ‘The Use of General Circulation Models to Predict Regional Climatic Change’,J. Clim. 4, 286–303.Google Scholar
  28. Hay, L. E., McCabe, Jr., G. J., Wolock, D. M., and Ayers, M. A.: 1992, ‘Use of Weather Types to Disaggregate General Circulation Model Predictions’,J. Geophys. Res. 97, D3, 2781-2790.Google Scholar
  29. Henderson-Sellers, A. and Brown, V. B.: 1992, ‘Project for Intercomparison of Land-Surface Parameterization Schemes (PILPS), Workshop Report and First Science Plan’, GEWEX, World Climate Research Programme, Geneva, Switzerland.Google Scholar
  30. Katz, R. W. and Brown, B. G.: 1992, ‘Extreme Events in a Changing Climate: Variability is More Important than Averages’,Clim. Change 21, 289–302.Google Scholar
  31. Klemes, V.: 1983, ‘Conceptualization and Scale in Hydrology’,J. Hydrol. 65, 1–23.Google Scholar
  32. Klemes, V.: 1985, ‘Sensitivity of Water-Resource Systems to Climate Variations’, WCP Report No. 98, World Meteorological Organization, Geneva, Switzerland.Google Scholar
  33. Klemes, V.: 1986, ‘Operational Testing of Hydrological Simulation Models’,Hydrol. Sci. 31, 13–24.Google Scholar
  34. Langbein, W. B.et al.: 1949, ‘Annual Runoff in the United States’,U.S. Geological Survey Circ. 52, U.S. Department of Interior, Washington, D.C.Google Scholar
  35. Leavesley, G. H., Branson, M. D., and Hay, L. E.: 1992a, ‘Using Coupled Atmospheric and Hydrologic Models to Investigate the Effects of Climate Change in Mountainous Regions’, in Herrmann, R. (ed.),Managing Water Resources during Global Change, Conference Proceedings, American Water Resources Association, Bethesda, MD, 691–700.Google Scholar
  36. Leavesley, G. H., Restrepo, R., Stannard, L. G., and Dixon, M.: 1992b, ‘The Modular Hydrologic Modeling System - MHMS’, in Herrmann, R. (ed.),Managing Water Resources During Global Change, Conference Proceedings, American Water Resources Association, Bethesda, MD, 263–264.Google Scholar
  37. Lettenmaier, D. P. and Gan, T. Y.: 1990, ‘Hydrologic Sensitivities of the Sacramento-San Joaquin River Basin, California, to Global Warming’,Water Resource Res. 26, 1, 69-86.Google Scholar
  38. Mimikou, M., Kouvopoulos, Y., Cavadias, G., and Vayianos, N.: 1991, ‘Regional Hydrological Effects of Climate Change’,J. Hydrol. 123, 119–146.Google Scholar
  39. Nash, L. L. and Gleick, P. H.: 1991, ‘Sensitivity of Streamflow in the Colorado Basin to Climatic Changes’,J. Hydrol. 125, 221–241.Google Scholar
  40. Nathan, R. J., McMahon, T. A., and Finlayson, B. L.: 1988, ‘The Impact of the Greenhouse Effect on Catchment Hydrology and Storage-Yield Relationships in Both Winter and Summer Rainfall Zones’, in Pearman, G. I. (ed.),Greenhouse, Planning for Climate Change, Division of Atmospheric Research, CSIRO, East Melbourne, Australia.Google Scholar
  41. Nemec, J. and Schaake, J.: 1982, ‘Sensitivity of Water Resource Systems to Climate Variation’,Hydrol. Sci. 27, 327–343.Google Scholar
  42. Ng, H. Y. F. and Marsalek, J.: 1992, ‘Sensitivity of Streamflow Simulation to Changes in Climatic Inputs’,Nordic Hydrol. 23, 257–272.Google Scholar
  43. Panagoulia, D.: 1992, ‘Impacts of GISS-Modelled Climate Changes on Catchment Hydrology’,Hydrol. Sci. 37, 2, 141-163.Google Scholar
  44. Porter, J. W. and McMahon, T. A.: 1971, ‘A Model for the Simulation of Streamflow Data from Climatic Records’,J. Hydrol. 13, 297–324.Google Scholar
  45. Revelle, R. R. and Waggoner, P. E.: 1983, ‘Effects of a Carbon Dioxide-Induced Climatic Change on Water Supplies in the Western United States’, inChanging Climate, National Academy of Sciences, National Academy Press, Washington, D.C.Google Scholar
  46. Reynolds, J. F., Hilbert, D. W., Chen, J., Harley, P. C., Kemp, P. R., and Leadley, P. W.: 1992,Modeling the Response of Plants and Ecosystems to Elevated CO 2 and Climate Change, DOE/ER-60490TH, TR054, Department of Energy, Washington D.C.Google Scholar
  47. Running, S. W. and Coughlan, J. C.: 1988, ‘A General Model of Forest Ecosystem Processes for Regional Applications. I. Hydrologic Balance, Canopy Gas Exchange and Primary Production Processes’,Ecological Modeling 42, 125–154.Google Scholar
  48. Running, S. W. and Nemani, R. R.: 1991, ‘Regional Hydrologic Carbon Balance Responses of Forests Resulting from Potential Climate Change’,Clim. Change 19, 349–368.Google Scholar
  49. Schaake, J. C.: 1990, ‘From Climate to Flow’, in Waggoner, P. E. (ed.),Clim. Change and U.S. Water Resources, J. Wiley and Sons, 177-206.Google Scholar
  50. Sorooshian, S. and Gupta, V. K.: 1983, ‘Automatic Calibration of Conceptual Rainfall-Runoff Models: The Question of Parameter Observability and Uniqueness’,Water Resource Res. 19, 1, 260-268.Google Scholar
  51. Stockle, C. O., Williams, J. R., Rosenberg, N. J., and Jones, C. A.: 1992a, ‘Estimation of the Effects of CO2-Induced Climate Change on Growth and Yield of Crops. I. Modification of the EPIC Model for Climate Change Analysis’,Agric. Sys. 38, 225–238.Google Scholar
  52. Stockle, C. O., Dyke, P. T., Williams, J. R., Jones, C. A., and Rosenberg, N. J.: 1992b, ‘Estimation of the Effects of CO2-Induced Climate Change on Growth and Yield of Crops. II. Assessing the Impacts on Maize, Wheat, and Soybean in the Midwestern U.S.A.’,Agric. Sys. 38, 239–256.Google Scholar
  53. Stockton, C. W. and Boggess, W. R.: 1979, ‘Geohydrological Implications of Climate Change on Water Resource Development’, U.S. Army Coastal Research Engineering Center, Fort Belvoir, VA.Google Scholar
  54. Thornthwaite, C. W.: 1948, ‘An Approach toward a Rational Classification of Climate’,Geogr. Rev. 38, 55–94.Google Scholar
  55. Thornthwaite, C. W. and Mather, J. R.: 1955, ‘The Water Balance’,Publications in Climatology, Drexel Institute of Technology, Laboratory of Climatology,VIII, 1.Google Scholar
  56. U.S. Environmental Protection Agency: 1984, ‘Users Manual for Hydrological Simulation Program-FORTRAN (HSPF)’, EPA-600/3-84-066, Environmental Research Laboratory, Athens, GA.Google Scholar
  57. Vehviläinen, B. and Lohvansuu, J.: 1991, ‘The Effects of Climate Change on Discharges and Snow Cover in Finland’,Hydrol. Sci. 36, 2, 109-121.Google Scholar
  58. Wilks, D. S.: 1992, ‘Adapting Stochastic Weather Generation Algorithms for Climate Change Studies’,Clim. Change 22, 67–84.Google Scholar
  59. Williams, J. R., Jones, C. A., and Dyke, P. T.: 1984, ‘A Modeling Approach to Determine the Relationship Between Erosion and Soil Productivity’,Transact. Amer. Soc. Agricult. Engin 27, 129–144.Google Scholar
  60. Wilson, L. L., Lettenmaier, D. P., and Skyllingstad, E.: 1992, ‘A Hierarchical Stochastic Model of Large-Scale Atmospheric Circulation Patterns and Multiple Station Daily Precipitation’,J. Geophys. Res. 97, D3, 2791-2809.Google Scholar
  61. WMO: 1975,Intercomparison of Conceptual Models Used in Operational Hydrological Forecasting, Operational Hydrology Report No. 7, WMO-No. 429, World Meteorologically Organization, Geneva, Switzerland.Google Scholar
  62. WMO: 1985,Intercomparison of Models of Snowmelt Runoff, Operational Hydrology, Report No. 23, WMO-No. 646, World Meteorological Organization, Geneva, Switzerland.Google Scholar
  63. Wood, E. F., Sivipalan, M., Beven, K., and Band, L.: 1988, ‘Effects of Spatial Variability and Scale with Implications to Hydrologic Modeling’,J. Hydrol. 102, 29–47.Google Scholar
  64. Wood, E. F., Sivipalan, M., and Beven, K.: 1990, ‘Similarity and Scale in Catchment Storm Response’,Rev. Geophys. 28, 1–18.Google Scholar
  65. Woolhiser, D. A. and Brakensiek, D. L.: 1982, ‘Hydrologic System Synthesis’, in Haan, C. T., Johnson, H. P., and Brakensiek, D. L. (eds.),Hydrologic Modeling of Small Watersheds, American Society of Agricultural Engineers, ASAE Monograph No. 5.Google Scholar
  66. World Climate Research Programme: 1992,Science Plan for the GEWEX Continental-Scale International Project (GCIP), WCRP-67, WMO/TD-No. 461, World Meteorological Organization, Geneva, Switzerland.Google Scholar

Copyright information

© Kluwer Academic Publishers 1994

Authors and Affiliations

  • George H. Leavesley
    • 1
  1. 1.U.S. Department of the InteriorGeological SurveyDenverUSA

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