Water Management Applications of Climate-Based Hydrologic Forecasts: Case Study of the Truckee-Carson River Basin
Publication: Journal of Water Resources Planning and Management
Volume 133, Issue 4
Abstract
Water managers in the western United States and throughout the world are facing the increasing challenge of supplying a variety of water demands under the growing stresses of climate variability and of population and economic growth. Accurate streamflow forecasts are key to the water resources planning and decision-making process. There is growing evidence that variability in western streamflow is modulated by large-scale ocean-atmospheric features. Traditional forecasting techniques, however, do not systematically utilize large-scale climate information. In this study we present a framework for incorporating climate information into water resources decision-making and demonstrate the method on the semiarid Truckee-Carson Basin in Nevada where environmental, agricultural, and municipal demands compete for a limited supply of water. In this basin, water managers must plan carefully to meet the demands of timing and required flowrates. The framework presented in this paper consists of a streamflow forecast system that is based on large-scale climate information. The forecasts are then incorporated in a decision-support tool to aid in water resources planning and decision making. Previous work on the Truckee-Carson Basin has demonstrated that incorporating climate information into the forecast can increase the accuracy (or skill) and lead time of forecasts. This paper focuses on the decision-support system that is used to evaluate decision strategies and demonstrates possible water management improvements. The performance of the framework and the improved forecasts are evaluated on the Truckee-Carson system by using a suite of years from the historical record.
Get full access to this article
View all available purchase options and get full access to this article.
Acknowledgments
The writers thank the Bureau of Reclamation Lahontan Basin area office for funding this study. Funding through the Cooperative Institute for Research in Environmental Studies (CIRES) Innovative Research Program at the University of Colorado at Boulder is also thankfully acknowledged. Useful discussions with Tom Scott, Gregg Reynolds, and Jeff Rieker are very much appreciated. Finally, the writers thank the two anonymous reviewers and the associate editor for their comments and suggestions for improving the manuscript.
References
Cayan, D. and Webb, R., and (1992). “El Nino/Southern Oscillation and streamflow in the western United States.” El Nino, H. F. Diaz and V. Markgraf, eds., Cambridge University Press, Cambridge, U.K., 29–69.
Cayan, D. R. (1996). “Interannual climate variability and snowpack in the western United States.” J. Clim., 9(5), 928–948.
Cayan, D. R., Redmond, K. T., and Riddle, L. G. (1999). “ENSO and hydrologic extremes in the western United States.” J. Clim., 12(9), 2881–2893.
Clark, M. P., Serreze, M. C., and McCabe, G. J. (2001). “Historical effects of El Niño and La Niña events on the seasonal evolution of the montane snowpack in the Columbia and Colorado River basins.” Water Resour. Res., 37(3), 741–757.
Dettinger, M. D., Diaz, H. F., and Meko, D. M. (1998). “North-south precipitation patterns in western North America on interannual-to-decadal timescales.” J. Clim., 11(12), 3095–4111.
Dettinger, M. D., McCabe, G. J., and Morego, J. A. (2000). “El Niño and the Southern Oscillation: Multiscale variability and societal impacts.” Multiscale hydrologic variability associated with El Nino-Southern Oscillation, H. F. Diaz and V. Markgraf, eds., Cambridge University Press, Cambridge, U.K., 114–147.
Dracup, J. S., and Kahya, E. (1994). “The relationships between U.S. streamflow and La Niña events.” Water Resour. Res., 30(7), 2133–2141.
Garen, D. C. (1998). “ENSO indicators and long-range climate forecasts: Usage in seasonal streamflow volume forecasting in the western United States.” Eos, Trans. Amer. Geophys. Union., 79, F325.
Gershunov, A. (1998). “ENSO influence on intraseasonal extreme rainfall and temperature frequencies in the contiguous United States: Implications for long-range predictability.” J. Clim., 11(12), 3192–3203.
Grantz, K. (2003). “Using large-scale climate information to forecast seasonal streamflow in the Truckee and Carson Rivers.” MS thesis, Boulder, Colorado, Univ. of Colorado at Boulder, Colo.
Grantz, K., Rajagopalan, B., Clark, M., and Zagona, E. (2005). “A technique for incorporating large-scale climate information in basin-scale ensemble streamflow forecasts.” Water Resour. Res., 41(10), W10410, 1–13.
Hamlet, A. F., Huppert, D., and Lettenmaier, D. P. (2002). “Economic value of long-lead streamflow forecasts for Columbia River hydropower.” J. Water Resour. Plann. Manage., 128(2), 91–101.
Hamlet, A. F., and Lettenmaier, D. P. (1999). “Columbia River streamflow forecasting based on ENSO and PDO climate signals.” J. Water Resour. Plann. Manage., 125(6), 333–341.
Hidalgo, H. G., and Dracup, J. A. (2003). “ENSO and PDO effects on hydroclimatic variation of the upper Colorado River Basin.” J. Hydrometeor., 4(1), 5–23.
Hoerling, M. P., Kumar, A., and Zhong, M. (1997). “El Niño, La Niña, and the nonlinearity of their teleconnections.” J. Clim., 10(8), 1769–1786.
Horton, G. A., (1996). “Carson River chronology: A chronological history of the Carson River and related water issues.” Dept. of Conservation and Natural Resources, a publication in the Nevada Division of Water Planning’s Nevada Water Basin Information and Chronology Series, Carson City, Nev.
Kayha, E., and Dracup, J. A. (1993). “U.S. streamflow patterns in relation to El Nino-Southern Oscillation.” Water Resour. Res., 29(8), 2491–2503.
Kerr, R. A. (1998). “Models win big in forecasting El Nino.” Science, 280(5363), 522–523.
Maurer, E. P., and Lettenmaier, D. P. (2004). “Potential effects of long-lead hydrologic predictability on Missouri River main-stem reservoirs.” J. Clim., 17(1), 174–186.
McCabe, G. J., and Dettinger, M. D. (2002). “Primary modes and predictability of year-to-year snowpack variation in the western United States from teleconnections with Pacific Ocean climate.” J. Hydrometeor., 3(1), 13–25.
Prairie, J. R., Rajagopalan, B., Fulp, T., and Zagona, E. (2005). “Statistical nonparametric model for natural salt estimation.” J. Environ. Eng., 131(1), 130–138.
Rajagopalan, B., Lall, U., and Zebiak, S. (2002). “Categorical climate forecasts through regularization and optimal combination of multiple GCM ensembles.” Mon. Weather Rev., 130(7), 1792–1811.
Redmond, K. T., and Koch, R. W. (1991). “Surface climate and streamflow variability in the western United States and their relationship to large-scale circulation indices.” Water Resour. Res., 27(9), 2381–2399.
Regonda, S., Rajagopalan, B., Clark, M., and Zagona, E. (2005). “Multi-model ensemble forecast of spring seasonal flows in the Gunnison River Basin.” Water Resour. Res., in press.
Ropelweski, C. F., and Halpert, M. S. (1986). “North American precipitation and temperature patterns associated with El Nino-Southern Oscillation (ENSO).” Mon. Weather Rev., 114(12), 2352–2362.
Souza, F. A., and Lall, U. (2003). “Seasonal to interannual ensemble streamflow forecasts for Ceara, Brazil: Applications of a mutlivariate, semi-parametric algorithm.” Water Resour. Res., 39(11), 1307–1320.
Wilks, D. (1995). Statistical methods in the atmospheric sciences, Academic, San Diego.
Zagona, E. A., Fulp, T. J., Goranflo, H. M., and Shane, R. (1998). “RiverWare: A general river and reservoir modeling environment.” Proc., 1st Federal Interagency Hydrologic Modeling Conf., Las Vegas, 113–120.
Zagona, E. A., Fulp, T. J., Shane, R., Magee, T., and Goranflo, H. M. (2001). “RiverWare: A generalized tool for complex reservoir system modeling.” J. Am. Water Resour. Assoc., 37(4), 913–929.
Information & Authors
Information
Published In
Copyright
© 2007 ASCE.
History
Received: Aug 2, 2005
Accepted: Apr 19, 2006
Published online: Jul 1, 2007
Published in print: Jul 2007
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.