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Modeling the Effects of Climate Change on Catchment Hydrology with the GWLF Model

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The Impact of Climate Change on European Lakes

Part of the book series: Aquatic Ecology Series ((AQEC,volume 4))

Abstract

The influence of catchment hydrology on the volume and timing of water inputs to waterbodies, and on the material loads of nutrients, sediment, and pollutants is central to any assessment of the impact of climate change on lakes. Changes in the timing and amount of precipitation, particularly when coupled with a change in air temperature, influence all the major components of the hydrological cycle, including evapotranspiration, snow dynamics, soil moisture, groundwater storage, baseflow, surface runoff, and streamflow.

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References

  • Andréasson, J., S. Bergström, B. Carlsson, L.P. Graham, and G. Lindström, 2004. Hydrological Change – Climate change impact simulations for Sweden. Ambio 33, 228–234.

    Google Scholar 

  • Arnell, N.W. 1999. Assessment of the Impacts of Climate Variability and Change on the Hydrology of Europe, In: Impacts of Climate Change and Climate Variability on Hydrologic Regimes, edited by Jan C. van Dam, Cambridge University Press, UK, 1999.

    Google Scholar 

  • Arnell, N.W. 2003. Relative effects of multi-decadal climatic variability and changes in the mean and variability of climate due to global warming: future streamflows in Britain. Journal of Hydrology 270, 195–213.

    Article  Google Scholar 

  • Arnold, J.G., P.M. Allen, R. Muttiah, and G. Bernhardt, 1995. Automated base flow separation and recession analysis techniques. Ground Water 33 (6), 1010–1018.

    Article  CAS  Google Scholar 

  • Betts, R.A., O. Boucher, M. Collins, P.M. Cox, P. Falloon, N. Gedney, D. Hemming, C. Huntingford, C.D. Jones, D. Sexton, and M. Webb, 2007. Projected increase in continental runoff due to plant responses to increasing carbon dioxide. Nature 448, 1037–1041.

    Article  CAS  Google Scholar 

  • Bultot, F., D. Gellens, M. Spreafico, and B. Schadler, 1992. Repercussions of a CO2 Doubling on the water balance – a case study in Switzerland. Journal of Hydrology 137, 199–208.

    Article  CAS  Google Scholar 

  • Charlton, R., R. Fealy, S. Moore, J. Sweeney, and C. Murphy, 2006. Assessing the impact of climate change on water supply and flood hazard in Ireland using statistical downscaling and hydrological modeling techniques.Climatic Change 74, 4

    Article  Google Scholar 

  • Chiew, F.H.S., P.H. Whetton, T.A. McMahon, and A.B. Pittock, 1995. Simulation of the impacts of climate change on runoff and soil moisture in Australian catchments. Journal of Hydrology 167, 121–147.

    Article  Google Scholar 

  • Dai, T., R.L. Wetzel, R.L. Tyler, and E.A. Lewis, 2000. BasinSim 1.0: a windows based watershed modeling package. Virginia Inst. of Marine Science, College of Williams and Mary.

    Google Scholar 

  • Dibike, Y.B. and P. Coulibaly, 2004. Hydrologic impact of climate change in the Saguenay watershed: comparison of downscaling methods and hydrologic models. Journal of Hydrology 307, 145–163.

    Article  Google Scholar 

  • Drogue, G., L. Pfister, T. Leviandier, A. El Idrissi, J.F. Iffly, P. Matgen, J. Humbert, and L. Hoffmann, 2004. Simulating the spatio-temporal variability of streamflow response to climate change scenarios in a mesoscale basin. Journal of Hydrology 293, 255–269.

    Article  Google Scholar 

  • Eckhardt, K. and U. Ulbrich, 2003. Potential impacts of climate change on groundwater recharge and streamflow in a central European low mountain range. Journal of Hydrology 284, 244–252.

    Article  CAS  Google Scholar 

  • European Environment Agency, 2000. CORINE land cover technical guide – Addendum 2000. Technical Report No 40. European Environment Agency. Copenhagen.

    Google Scholar 

  • Evans, B.M., D.W. Lehning, K.J. Corradini, G.W. Petersen, E. Nizeyimana, J.M. Hamlett, P.D. Robillard, and R.L. Day, 2002. A comprehensive GIS-based modeling approach for predicting nutrient loads in watersheds.Journal of Spatial Hydrology 2 (2), 1–18.

    Google Scholar 

  • Fowler, H.J., M. Ekström, S. Blenkinsop, and A.P. Smith, 2007. Estimating change in extreme European precipitation using a multimodel ensemble. Journal of Geophysical Research 112, D18104.

    Google Scholar 

  • Gellens, D. and E. Roulin, 1998. Streamflow response of Bengian catchments to IPCC climate change scenarios. Journal of Hydrology 210, 242–258.

    Article  Google Scholar 

  • Graham, L.P. 2004. Climate change effects on river flow to the Baltic Sea. Ambio 33 (4–5), 235–241.

    Google Scholar 

  • Haith, D.A. and L.L. Shoemaker, 1987. Generalized watershed loading functions for stream flow nutrients. Water Resources Bulletin 23 (3), 471–478.

    Google Scholar 

  • Haith, D.A., R. Mandel, and R.S. Wu, 1992. Generalized Watershed Loading Functions Version 2.0 User’s Manual, Cornell University, Ithaca, New York.

    Google Scholar 

  • Hamon, W.R. 1961. Estimating Potential Evapotranspiration. Proceedings ASAE, Journal Hydraulics Division 87 (HY3), 107–120.

    Google Scholar 

  • Hay, L.E., R.L. Wilby, and G.H. Leavesley, 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, 387–397.

    Article  Google Scholar 

  • Jones, P.D. and M. Salmon, 1995. Development and Integration of a Stochastic Weather Generator into a Crop Growth Model for European Agriculture, MARS Project, Final Report to Institute of Remote Sensing Applications, Agricultural Information Systems(ISPRA)., Contract No. 5631-93-12, ED ISP GB.

    Google Scholar 

  • Leavesley, G.H. 1999. Overview of models for use in the evaluation of the impacts of climate change on hydrology, In: Impacts of Climate Change and Climate Variability on Hydrologic Regimes, edited by Jan C. van Dam, Cambridge University Press, UK.

    Google Scholar 

  • Lee, K.-Y., T.R. Fisher, T.E. Jordan, D.L. Correll, and D.E. Weller, 2000. Modeling the hydrochemistry of the choptank river basin using GWLF and Arc/Info: 1. Model calibration and validation. Biogeochemistry 49, 143–173

    Article  CAS  Google Scholar 

  • Lettenmaier, D.P., G. McCabe, and E. Stakhiv, 1996. "Global Climate Change: Effect on the Hydrologic Cycle", In: Handbook of Water Resources, edited by L.W. Mays, McGraw Hill, New York.

    Google Scholar 

  • Limbrunner, J.F., R.M. Vogel, and S.C. Chapra, 2005a. A Parsimonious Watershed Model, In: Computer Models of Watershed Hydrology, 2nd ed., edited by V.P. Singh, CRC Press, Boca Raton, FL.

    Google Scholar 

  • Limbrunner, J.F., S.C. Chapra, R.M. Vogel, and P.H. Kirshen, 2005b. Tufts Watershed Loading Function: Best Management Practice Model for Decision Support. ASCE EWRI World Water and Environmental Resources Congress, Anchorage, Alaska.

    Google Scholar 

  • Loukas, A., L. Vasiliades, and N.R. Dalezios, 2002. Potential climate change impacts on flood producing mechanisms in southern British Columbia, Canada using the CGCMA1 simulation results. Journal of Hydrology 9, 163–188.

    Article  Google Scholar 

  • Mitchell, T.D. and M. Hulme, 2002. Length of the growing season. Weather 57, 196–198.

    Google Scholar 

  • Muller-Wohlfeil, D.I., G. Burger, and W. Lahmer, 2000. Response of a river catchment to climatic change: application of expanded downscaling to northern Germany. Climatic Change 47, 61–89.

    Article  CAS  Google Scholar 

  • Nash, J.E. and J.V. Sutcliffe, 1970. River flow forecasting through conceptual models, Part 1 – A discussion of principles. Journal of Hydrology 10, 282–290.

    Article  Google Scholar 

  • NYCDEP (New York City Dept. of Environmental Protection), 2006. 2006 Watershed Protection Program Summary and Assessment, NYCDEP, Valhalla, New York, 464 pp.

    Google Scholar 

  • Parajka, J., R. Merz, and G. Bloschl, 2005. A comparison of regionalisation methods for catchment model parameters. Hydrology and Earth Systems Sciences 9, 157–171.

    Article  Google Scholar 

  • Perrin, C., C. Michel, and V. Andréassian, 2001. Does a large number of parameters enhance model performance? Comparative assessment of common catchment model structures on 429 catchments. Journal of Hydrology 242, 275–301.

    Article  Google Scholar 

  • Prudhomme, C. 2006. GCM and downscaling uncertainty in modelling of current river flow: why is it important for future impacts? IAHS Publication 308, 375–381.

    Google Scholar 

  • Räisänen, J., U. Hansson, A. Ullerstig, R. Döscher, L.P. Graham, C. Jones, H.E.M. Meier, P. Samuelsson, and U. Willén, 2004. European climate in the late 21st century: regional simulations with two driving global models and two forcing scenarios. Climate Dynamics 22, 13–31.

    Article  Google Scholar 

  • Rosenberg, N.J., R.A. Brown, R.C. Izaurralde, and A.M. Thomson, 2003. Integrated assessment of Hadley Centre (HadCM2) climate clange projections on agricultural productivity and irrigation water supply in the coterminous United States I. Climate change scenarios and impacts on irrigation water supply simulated with the HUMUS model. Agricultural and Forest Meteorology 117, 73–96.

    Article  Google Scholar 

  • Rouhani, H., P. Willems, G. Wyseure, and J. Feyen, 2007. Parameter estimation in semi-distributed hydrological catchment modelling using a multi-criteria objective function. Hydrological Processes 21, 2998–3008.

    Article  Google Scholar 

  • Schneiderman, E.M., D.C. Pierson, D.G. Lounsbury, and M.S. Zion, 2002. Modeling of hydrochemistry of the cannonsville watershed with Generalized Watershed Loading Functions (GWLF). Journal of the American Water Resources Association 38 (5), 1323–1347.

    Article  CAS  Google Scholar 

  • Shuttleworth, W.J. 1993. Evaporation, In: Handbook of Hydrology, edited by D.R. Maidment, McGraw Hill, New York.

    Google Scholar 

  • Smedberg, E., C.M. Morth, D.P. Swaney, and C. Humborg, 2006. Modeling hydrology and silicon-carbon interactions in taiga and tundra biomes from a landscape perspective: implications for global warming feedbacks. Global Biogeochemical Cycles 20 (GB2014), 1–15.

    Google Scholar 

  • USDA-SCS (Soil Conservation Service), 1972. National Engineering Handbook, Part 630 Hydrology, Section 4, Chapter 10.

  • USDA-SCS (Soil Conservation Service), 1986. Urban Hydrology for Small Watersheds, Technical Release No. 55, U.S. Government Printing Office, Washington, DC.

    Google Scholar 

  • Watts, M., C.M. Goodess, and P.D. Jones, 2004. The CRU Daily Weather Generator: BETWIXT Technical Briefing Notre 1. The Climate Research Unit, University of East Anglia, UK.

    Google Scholar 

  • Wilby, R.L. and I. Harris, 2006. A framework for assessing uncertainties in climate change impacts: low-flow scenarios for the River Thames, UK. Water Resources Research 42, W02419.

    Google Scholar 

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Author information

Authors and Affiliations

  1. Department of Environmental Protection, Kingston, New York, NY, 12401, USA

    Elliot Schneiderman

  2. SYKE Jyväskylä, University of Jyväskylä, PO Box 35, FIN-40014, Jyväskylä, Finland

    Marko Järvinen

  3. Department of Applied Sciences, Dundalk Institute of Technology, Dublin Rd, Dundalk, Ireland

    Eleanor Jennings

  4. Centre for Ecology and Hydrology, Bush Estate, Penicuik, EH26 OQB, Scotland

    Linda May

  5. New York City Department of Environmental Protection, 71 Smith Avenue, Kingston, New York, 12401, USA

    Karen Moore Ph.D. & Don Pierson

  6. Centre for Ecology and Hydrology, Wallingford, OX10 8BB, UK

    Pamela S. Naden

Authors
  1. Elliot Schneiderman
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  2. Marko Järvinen
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  3. Eleanor Jennings
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  4. Linda May
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  5. Karen Moore Ph.D.
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  6. Pamela S. Naden
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  7. Don Pierson
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Corresponding author

Correspondence to Elliot Schneiderman .

Editor information

Editors and Affiliations

  1. Windy Hall Road, Bowness-on-Windermere, LA23 3HX, United Kingdom

    Glen George

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Schneiderman, E. et al. (2010). Modeling the Effects of Climate Change on Catchment Hydrology with the GWLF Model. In: George, G. (eds) The Impact of Climate Change on European Lakes. Aquatic Ecology Series, vol 4. Springer, Dordrecht. https://doi.org/10.1007/978-90-481-2945-4_3

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