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12 - Watershed hydrology

from Part IV - Hydrometeorology

Gordon B. Bonan
Affiliation:
National Center for Atmospheric Research, Boulder, Colorado
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Summary

Chapter summary

The flow of water in streams and rivers is an important measure of the hydrologic cycle integrated over large areas. A watershed is the geographic area that contributes to water flow in a stream or river. Building upon concepts introduced in the previous chapter, this chapter introduces the study of watersheds. The overall hydrologic balance of a watershed is discussed, and three cases studies (Hubbard Brook, Coweeta, and Walker Branch) illustrate the hydrologic balance of watersheds. Surface runoff, or overland flow, is generated within a watershed when water reaching the ground exceeds the soil's capacity to gain water during infiltration (infiltration-excess) or when rain falls on saturated areas of the watershed (saturation-excess). The processes that generate runoff are reviewed and illustrated by numerical models of watershed hydrology. The spatial distribution of precipitation, spatial variability in infiltration capacity, antecedent soil moisture, and topography are important determinants of runoff at the watershed scale. Riverflow is an integrator of runoff, and the processes regulating riverflow, especially flooding, are discussed and illustrated. The chapter concludes with a discussion of global drainage basins and observed riverflow for major river systems. Comparison of simulated versus observed riverflow is an important means to test the hydrologic cycle of climate models.

Watersheds

The cycling of water depicted in Fig. 11.1 can be applied to particular geographic regions to calculate the water balance. One such area is a watershed or drainage basin.

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Ecological Climatology
Concepts and Applications
, pp. 170 - 191
Publisher: Cambridge University Press
Print publication year: 2008

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References

Ambroise, B., Beven, K., and Freer, J., 1996a. Toward a generalization of the TOPMODEL concepts: topographic indices of hydrological similarity. Water Resources Research, 32, 2135–45.CrossRefGoogle Scholar
Ambroise, B., Freer, J., and Beven, K., 1996b. Application of a generalized TOPMODEL to the small Ringelbach catchment, Vosges, France. Water Resources Research, 32, 2147–59.CrossRefGoogle Scholar
Andersen, O. B., Seneviratne, S. I., Hinderer, J., and Viterbo, P., 2005. GRACE-derived terrestrial water storage depletion associated with the 2003 European heat wave. Geophysical Research Letters, 32, L18 405, doi:10.1029/2005GL023574.CrossRefGoogle Scholar
Band, L. E., Patterson, P., Nemani, R., and Running, S. W., 1993. Forest ecosystem processes at the watershed scale: incorporating hillslope hydrology. Agricultural and Forest Meteorology, 63, 93–126.CrossRefGoogle Scholar
Beven, K. J. and Kirkby, M. J., 1979. A physically based variable contributing area model of basin hydrology. Hydrological Sciences Bulletin, 24, 43–69.CrossRefGoogle Scholar
Beven, K. and Wood, E. F., 1983. Catchment geomorphology and the dynamics of runoff contributing areas. Journal of Hydrology, 65, 139–58.CrossRefGoogle Scholar
Beven, K. J., Kirkby, M. J., Schofield, N., and Tagg, A. F., 1984. Testing a physically-based flood forecasting model (TOPMODEL) for three U.K. catchments. Journal of Hydrology, 69, 119–43.CrossRefGoogle Scholar
Beven, K. J., Lamb, R., Quinn, P. F., Romanowicz, R., and Freer, J., 1995. TOPMODEL. In Computer Models of Watershed Hydrology, ed. Singh, V. P.. Water Resources Publications, pp. 627–68.Google Scholar
Bormann, F. H. and Likens, G. E., 1979. Pattern and Process in a Forested Ecosystem. Springer-Verlag, 253 pp.CrossRefGoogle Scholar
Bosch, J. M. and Hewlett, J. D., 1982. A review of catchment experiments to determine the effect of vegetation changes on water yield and evapotranspiration. Journal of Hydrology, 55, 3–23.CrossRefGoogle Scholar
Bowling, L. C., Storck, P., and Lettenmaier, D. P., 2000. Hydrologic effects of logging in western Washington, United States. Water Resources Research, 36, 3223–40.CrossRefGoogle Scholar
Branstetter, M. L. and Erickson, III D. J., 2003. Continental runoff dynamics in the Community Climate System Model 2 (CCSM2) control simulation. Journal of Geophysical Research, 108D, 4550, doi:10.1029/2002JD003212.CrossRefGoogle Scholar
Chen, J. and Kumar, P., 2001. Topographic influence on the seasonal and interannual variation of water and energy balance of basins in North America. Journal of Climate, 14, 1989–2014.2.0.CO;2>CrossRefGoogle Scholar
Coe, M. T., 2000. Modeling terrestrial hydrological systems at the continental scale: testing the accuracy of an atmospheric GCM. Journal of Climate, 13, 686–704.2.0.CO;2>CrossRefGoogle Scholar
Crowley, J. W., Mitrovica, J. X., Bailey, R. C., Tamisiea, M. E., and Davis, J. L., 2006. Land water storage within the Congo Basin inferred from GRACE satellite gravity data. Geophysical Research Letters, 33, L19402, doi:10.1029/2006GL027070.CrossRefGoogle Scholar
Decharme, B. and Douville, H., 2006. Introduction of a sub-grid hydrology in the ISBA land surface model. Climate Dynamics, 26, 65–78.CrossRefGoogle Scholar
Dolman, A. J. and Gregory, D., 1992. The parametrization of rainfall interception in GCMs. Quarterly Journal of the Royal Meteorological Society, 118, 455–67.CrossRefGoogle Scholar
Ducharne, A., Laval, K., and Polcher, J., 1998. Sensitivity of the hydrological cycle to the parameterization of soil hydrology in a GCM. Climate Dynamics, 14, 307–27.CrossRefGoogle Scholar
Ducharne, A., Koster, R. D., Suarez, M. J., and Kumar, P., 1999. A catchment-based land surface model for GCMs and the framework for its evaluation. Physics and Chemistry of the Earth, Part B: Hydrology, Oceans and Atmosphere, 24, 769–73.CrossRefGoogle Scholar
Ducharne, A., Koster, R. D., Suarez, M. J., Stieglitz, M., and Kumar, P., 2000. A catchment-based approach to modeling land surface processes in a general circulation model. 2. Parameter estimation and model demonstration. Journal of Geophysical Research, 105D, 24 823–38.CrossRefGoogle Scholar
Dümenil, L. and Todini, E., 1992. A rainfall-runoff scheme for use in the Hamburg climate model. In Advances in Theoretical Hydrology: a Tribute to James Dooge, ed. O'Kane, J. P.. Elsevier, pp. 129–57.CrossRefGoogle Scholar
Dunne, T., 1979. Sediment yield and land use in tropical catchments. Journal of Hydrology, 42, 281–300.CrossRefGoogle Scholar
Eltahir, E. A. B. and Bras, R. L., 1993. A description of rainfall interception over large areas. Journal of Climate, 6, 1002–8.2.0.CO;2>CrossRefGoogle Scholar
Entekhabi, D. and Eagleson, P. S., 1989. Land surface hydrology parameterization for atmospheric general circulation models including subgrid scale spatial variability. Journal of Climate, 2, 816–31.2.0.CO;2>CrossRefGoogle Scholar
Famiglietti, J. S. and Wood, E. F., 1994a. Multiscale modeling of spatially variable water and energy balance processes. Water Resources Research, 30, 3061–78.CrossRefGoogle Scholar
Famiglietti, J. S., and Wood, E. F., 1994b. Application of multiscale water and energy balance models on a tallgrass prairie. Water Resources Research, 30, 3079–93.CrossRefGoogle Scholar
Farley, K. A., Jobbágy, E. G., and Jackson, R. B., 2005. Effects of afforestation on water yield: a global synthesis with implications for policy. Global Change Biology, 11, 1565–76.CrossRefGoogle Scholar
Fennessey, N. M., Eagleson, P. S., Qinliang, W., and Rodriguez-Iturbe, I., 1986. Spatial characteristics of observed precipitation fields: a catalog of Summer storms in Arizona, vol. I. Ralph M. Parsons Laboratory Report No. 307, Massachusetts Institute of Technology, Cambridge, Massachusetts, 404 pp.
Gedney, N. and Cox, P. M., 2003. The sensitivity of global climate model simulations to the representation of soil moisture heterogeneity. Journal of Hydrometeorology, 4, 1265–75.2.0.CO;2>CrossRefGoogle Scholar
Hagemann, S. and Gates, L. D., 2003. Improving a subgrid runoff parameterization scheme for climate models by the use of high resolution data derived from satellite observations. Climate Dynamics, 21, 349–59.CrossRefGoogle Scholar
Hornbeck, J. W., Pierce, R. S., and Federer, C. A., 1970. Streamflow changes after forest clearing in New England. Water Resources Research, 6, 1124–32.CrossRefGoogle Scholar
Hornbeck, J. W., Adams, M. B., Corbett, E. S., Verry, E. S., and Lynch, J. A., 1993. Long-term impacts of forest treatments on water yield: a summary for northeastern USA. Journal of Hydrology, 150, 323–44.CrossRefGoogle Scholar
Hornbeck, J. W., Martin, C. W., and Eagar, C., 1997. Summary of water yield experiments at Hubbard Brook Experimental Forest, New Hampshire. Canadian Journal of Forest Research, 27, 2043–52.Google Scholar
Hornberger, G. M., Beven, K. J., Cosby, B. J., and Sappington, D. E., 1985. Shenandoah watershed study: calibration of a topography-based, variable contributing area hydrological model to a small forested catchment. Water Resources Research, 21, 1841–50.CrossRefGoogle Scholar
Hornberger, G. M., Bencala, K. E., and McKnight, D. M., 1994. Hydrological controls on dissolved organic carbon during snowmelt in the Snake River near Montezuma, Colorado. Biogeochemistry 25, 147–65.CrossRefGoogle Scholar
Hornberger, G. M., Raffensperger, J. P., Wiberg, P. L., and Eshleman, K. N., 1998. Elements of Physical Hydrology. Johns Hopkins University Press, 302 pp.Google Scholar
Jackson, R. B., Jobbágy, E. G., Avissar, R., et al., 2005. Trading water for carbon with biological carbon sequestration. Science, 310, 1944–7.CrossRefGoogle ScholarPubMed
Johnson, D. W. and Hook, R. I. (eds.), 1989. Analysis of Biogeochemical Cycling Processes in Walker Branch Watershed. Springer-Verlag, 401 pp.CrossRef
Johnson, K. D., Entekhabi, D., and Eagleson, P. S., 1993. The implementation and validation of improved land-surface hydrology in an atmospheric general circulation model. Journal of Climate, 6, 1009–26.2.0.CO;2>CrossRefGoogle Scholar
Koster, R. D., Suarez, M. J., Ducharne, A., Stieglitz, M., and Kumar, P., 2000. A catchment-based approach to modeling land surface processes in a general circulation model. 1. Model structure. Journal of Geophysical Research, 105D, 24 809–22.CrossRefGoogle Scholar
Kumar, P., Verdin, K. L., and Greenlee, S. K., 2000. Basin level statistical properties of topographic index for North America. Advances in Water Resources, 23, 571–8.CrossRefGoogle Scholar
Liang, X., Lettenmaier, D. P., Wood, E. F., and Burges, S. J., 1994. A simple hydrologically based model of land surface water and energy fluxes for general circulation models. Journal of Geophysical Research, 99D, 14 415–28.CrossRefGoogle Scholar
Liang, X., Lettenmaier, D. P., and Wood, E. F., 1996. One-dimensional statistical dynamic representation of subgrid spatial variability of precipitation in the two-layer variable infiltration capacity model. Journal of Geophysical Research, 101D, 21 403–22.CrossRefGoogle Scholar
Likens, G. E., 2004. Some perspectives on long-term biogeochemical research from the Hubbard Brook ecosystem study. Ecology, 85, 2355–62.CrossRefGoogle Scholar
Likens, G. E., and Bormann, F. H., 1995. Biogeochemistry of a Forested Ecosystem, 2nd edn. Springer-Verlag, 159 pp.CrossRefGoogle Scholar
Likens, G. E., Bormann, F. H., Pierce, R. S., Eaton, J. S., and Johnson, N. M., 1977. Biogeochemistry of a Forested Ecosystem. Springer-Verlag, 146 pp.CrossRefGoogle Scholar
Lohmann, D., Mitchell, K. E., Houser, P. R., et al., 2004. Streamflow and water balance intercomparisons of four land surface models in the North American Land Data Assimilation System project. Journal of Geophysical Research, 109D, D07S91, doi:10.1029/2003JD003517.Google Scholar
Luxmoore, R. J. and Huff, D. D., 1989. Water. In Analysis of Biogeochemical Cycling Processes in Walker Branch Watershed, ed. Johnson, D. W. and Hook, R. I.. Springer-Verlag, pp. 164–96.CrossRefGoogle Scholar
Mattikalli, N. M., Engman, E. T., Jackson, T. J., and Ahuja, L. R., 1998. Microwave remote sensing of temporal variations of brightness temperature and near-surface soil water content during a watershed-scale field experiment, and its application to the estimation of soil physical properties. Water Resources Research, 34, 2289–99.CrossRefGoogle Scholar
Maurer, E. P., Wood, A. W., Adam, J. C., Lettenmaier, D. P., and Nijssen, B., 2002. A long-term hydrologically based dataset of land surface fluxes and states for the conterminous United States. Journal of Climate, 15, 3237–51.2.0.CO;2>CrossRefGoogle Scholar
Nijssen, B., O'Donnell, G. M., Lettenmaier, D. P., Lohmann, D., and Wood, E. F., 2001. Predicting the discharge of global rivers. Journal of Climate, 14, 3307–23.2.0.CO;2>CrossRefGoogle Scholar
Niu, G.-Y. and Yang, Z.-L., 2006. Assessing a land surface model's improvements with GRACE estimates. Geophysical Research Letters, 33, L07401, doi:10.1029/2005GL025555.CrossRefGoogle Scholar
Niu, G.-Y., Yang, Z.-L., Dickinson, R. E., and Gulden, L. E., 2005. A simple TOPMODEL-based runoff parameterization (SIMTOP) for use in global climate models. Journal of Geophysical Research, 110D, D21106, doi:10.1029/2005JD006111.Google Scholar
Pitman, A. J., Henderson-Sellers, A., and Yang, Z.-L., 1990. Sensitivity of regional climates to localized precipitation in global models. Nature, 346, 734–7.CrossRefGoogle Scholar
Pitman, A. J., Yang, Z.-L., and Henderson-Sellers, A., 1993. Sub-grid scale precipitation in AGCMs: re-assessing the land surface sensitivity using a single column model. Climate Dynamics, 9, 33–41.CrossRefGoogle Scholar
Seo, K.-W., Wilson, C. R., Famiglietti, J. S., Chen, J. L., and Rodell, M., 2006. Terrestrial water mass load changes from Gravity Recovery and Climate Experiment (GRACE). Water Resources Research, 42, W05417, doi:10.1029/2005WR004255.CrossRefGoogle Scholar
Shuttleworth, W. J., 1988. Macrohydrology – the new challenge for process hydrology. Journal of Hydrology, 100, 31–56.CrossRefGoogle Scholar
Stamm, J. F., Wood, E. F., and Lettenmaier, D. P., 1994. Sensitivity of a GCM simulation of global climate to the representation of land-surface hydrology. Journal of Climate, 7, 1218–39.2.0.CO;2>CrossRefGoogle Scholar
Stieglitz, M., Rind, D., Famiglietti, J., and Rosenzweig, C., 1997. An efficient approach to modeling the topographic control of surface hydrology for regional and global climate modeling. Journal of Climate, 10, 118–37.2.0.CO;2>CrossRefGoogle Scholar
Swank, W. T. and Crossley, Jr. D. A. (eds.), 1988. Forest Hydrology and Ecology at Coweeta. Springer-Verlag, 469 pp.CrossRef
Swank, W. T. and Douglass, J. E., 1974. Streamflow greatly reduced by converting deciduous hardwood stands to pine. Science 185, 857–9.CrossRefGoogle ScholarPubMed
Swank, W. T. and Miner, N. H., 1968. Conversion of hardwood-covered watersheds to white pine reduces water yield. Water Resources Research, 4, 947–54.CrossRefGoogle Scholar
Swank, W. T., Swift, Jr. L. W., and Douglass, J. E., 1988. Streamflow changes associated with forest cutting, species conversions, and natural disturbances. In Forest Hydrology and Ecology at Coweeta, ed. Swank, W. T. and Crossley, Jr. D. A.Springer-Verlag, pp. 297–312.CrossRefGoogle Scholar
Swenson, S. C. and Milly, P. C. D., 2006. Climate model biases in seasonality of continental water storage revealed by satellite gravimetry. Water Resources Research, 42, W03201, doi:10.1029/2005WR004628.CrossRefGoogle Scholar
Swenson, S. and Wahr, J., 2006. Estimating large-scale precipitation minus evapotranspiration from GRACE satellite gravity measurements. Journal of Hydrometeorology, 7, 252–70.CrossRefGoogle Scholar
Swenson, S., Yeh, P. J.-F., Wahr, J., and Famiglietti, J., 2006. A comparison of terrestrial water storage variations from GRACE with in situ measurements from Illinois. Geophysical Research Letters, 33, L16401, doi:10.1029/2006GL026962.CrossRefGoogle Scholar
Swift, L. W., Cunningham, G. B., and Douglass, J. E., 1988. Climatology and hydrology. In Forest Hydrology and Ecology at Coweeta, ed. Swank, W. T. and Crossley, Jr D. A.. Springer-Verlag, pp. 35–55.CrossRefGoogle Scholar
Syed, T. H., Famiglietti, J. S., Chen, J., et al., 2005. Total basin discharge for the Amazon and Mississippi River basins from GRACE and a land–atmosphere water balance. Geophysical Research Letters, 32, L24404, doi:10.1029/2005GL024851.CrossRefGoogle Scholar
Tapley, B. D., Bettadpur, S., Ries, J. C., Thompson, P. F., and Watkins, M. M., 2004. GRACE measurements of mass variability in the Earth system. Science, 305, 503–5.CrossRefGoogle ScholarPubMed
Vörösmarty, C. J., Fekete, B. M., Meybeck, M., and Lammers, R. B., 2000. Global system of rivers: its role in organizing continental land mass and defining land-to-ocean linkages. Global Biogeochemical Cycles, 14, 599–621.CrossRefGoogle Scholar
Wang, G. and Eltahir, E. A. B., 2000. Modeling the biosphere–atmosphere system: the impact of the subgrid variability in rainfall interception. Journal of Climate, 13, 2887–99.2.0.CO;2>CrossRefGoogle Scholar
Warrach, K., Stieglitz, M., Mengelkamp, H.-T., and Raschke, E., 2002. Advantages of a topographically controlled runoff simulation in a soil–vegetation–atmosphere transfer model. Journal of Hydrometeorology, 3, 131–48.2.0.CO;2>CrossRefGoogle Scholar
Wilson, K. B., Hanson, P. J., Mulholland, P. J., Baldocchi, D. D., and Wullschleger, S. D., 2001. A comparison of methods for determining forest evapotranspiration and its components: sap-flow, soil water budget, eddy covariance and catchment water balance. Agricultural and Forest Meteorology, 106, 153–68.CrossRefGoogle Scholar
Wolock, D. M., 1995. Effects of subbasin size on topographic characteristics and simulated flow paths in Sleepers River watershed, Vermont. Water Resources Research, 31, 1989–97.CrossRefGoogle Scholar
Wolock, D. M. and Price, C. V., 1994. Effects of digital elevation model map scale and data resolution on a topography-based watershed model. Water Resources Research, 30, 3041–52.CrossRefGoogle Scholar
Wolock, D. M., Hornberger, G. M., Bevin, K. J., and Campbell, W. G., 1989. The relationship of catchment topography and soil hydraulic characteristics to lake alkalinity in the northeastern United States. Water Resources Research, 25, 829–37.CrossRefGoogle Scholar
Wolock, D. M., Hornberger, G. M., and Musgrove, T. J., 1990. Topographic effects on flow path and surface water chemistry of the Llyn Brianne catchments in Wales. Journal of Hydrology, 115, 243–59.CrossRefGoogle Scholar
Wood, A. W., Kumar, A., and Lettenmaier, D. P., 2005. A retrospective assessment of National Centers for Environmental Prediction climate model-based ensemble hydrologic forecasting in the western United States. Journal of Geophysical Research, 110D, D04105, doi:10.1029/2004JD004508.Google Scholar
Wood, E. F., Lettenmaier, D. P., and Zartarian, V. G., 1992. A land-surface hydrology parameterization with subgrid variability for general circulation models. Journal of Geophysical Research, 97D, 2717–28.CrossRefGoogle Scholar
Zhao, R.-J., 1992. The Xinanjiang model applied in China. Journal of Hydrology, 135, 371–81.Google Scholar
Zhao, R.-J. and Liu, X.-R., 1995. The Xinanjiang model. In Computer Models of Watershed Hydrology, ed. Singh, V. P.. Water Resources Publications, pp. 215–32.Google Scholar
Zhao, R.-J., Zuang, Y.-L., Fang, L. R., Liu, X.-R., and Zhang, Q.-S., 1980. The Xinanjiang model. In Hydrological Forecasting: Proceedings of the Oxford Symposium, April 1980. International Association of Hydrological Sciences, pp. 351–6.Google Scholar

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  • Watershed hydrology
  • Gordon B. Bonan, National Center for Atmospheric Research, Boulder, Colorado
  • Book: Ecological Climatology
  • Online publication: 05 April 2013
  • Chapter DOI: https://doi.org/10.1017/CBO9780511805530.013
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  • Watershed hydrology
  • Gordon B. Bonan, National Center for Atmospheric Research, Boulder, Colorado
  • Book: Ecological Climatology
  • Online publication: 05 April 2013
  • Chapter DOI: https://doi.org/10.1017/CBO9780511805530.013
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  • Watershed hydrology
  • Gordon B. Bonan, National Center for Atmospheric Research, Boulder, Colorado
  • Book: Ecological Climatology
  • Online publication: 05 April 2013
  • Chapter DOI: https://doi.org/10.1017/CBO9780511805530.013
Available formats
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