Potential effects of long-lead hydrologic predictability on Missouri River main-stem reservoirs

Journal of Climate

Volumn 17, Issue 1, 2004, Pages 174-186

  Maurer, Edwin P ^a   Lettenmaier, Dennis P ^b  

^a Santa Clara University   (United States)

^b UNIVERSITY OF WASHINGTON   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CLIMATE CHANGE; MOISTURE; RUNOFF; SOILS; WEATHER FORECASTING;

HYDROLOGIC PREDICTABILITY; HYDROPOWER;

HYDROLOGY;

HYDROLOGICAL CHANGE; STREAMFLOW; WEATHER FORECASTING;

MISSOURI RIVER; NORTH AMERICA; UNITED STATES;

EID: 1442266683     PISSN: 08948755     EISSN: None     Source Type: Journal    
DOI: 10.1175/1520-0442(2004)017<0174:PEOLHP>2.0.CO;2     Document Type: Article

References (40)

1. Baldwin, C. K., 2001: Seasonal streamflow forecasting using climate information. Proc. 69th Western Snow Conf., Sun Valley. ID, Western Snow Conference, 95-98.
2. Carroll, S. S., T. R. Carroll, and R. W. Poston, 1999: Spatial modeling and prediction of snow water equivalent using ground-based, airborne, and satellite snow data. J. Geophys. Res., 104, 19 623-19 629.
3. Castruccio, P. A., H. L. Loats, D. Lloyd, and P A. B. Newman, 1980: Cost/benefit analysis in the operational application of satellite snowcover operations. Operational Applications of Satellite Snowcover Operations, A. Rango and R. Peterson, Eds., NASA Conference Publication 2116, NASA Scientific and Technical Information Office, 239-254.
4. Cayan, D. R., K. T. Redmond, and L. G. Riddle, 1999: ENSO and hydrologic extremes in the western United States. J. Climate, 12, 2881-2893.
5. COE 1979: Missouri River main stem reservoir system reservoir regulation manual. Vol. 1, Master manual. Missouri River Division, Omaha, NE.
6. COE, 1991: Missouri River system analysis model-Phase 1. Hydrologic Engineering Center, Davis, CA, 34 pp. + 5 appendixes.
7. COE, 1994a: Missouri River master water control manual review and update. Vol. 2. Reservoir regulation studies, long range study model, Missouri River Division.
8. COE, 1994b: Missouri River master water control manual review and update. Vol. 6D. Economic studies, Missouri River Division.
9. COE, 1998: Missouri River main stem reservoirs: System description and operation. Northwestern Division, Missouri River Region, Reservoir Control Center, 28 pp.
10. COE, 1999: Missouri River main stem reservoirs hydrologic statistics. Missouri River Region, Reservoir Control Center RCC Tech. Rep. F-99, 45 pp.
11. COE, 2001: Missouri River master water control manual review and update, revised draft environmental impact statement. Northwestern Division. Omaha, NE.
12. Datta, B., and S. J. Borges, 1984: Short-term, single, multi-purpose reservoir operation: Importance of loss functions and forecast errors. Water Resour. Res., 20, 1167-1176.
13. Dracup, J. A., and E. Kahya, 1994: The relationships between U.S. streamflow and La Niña events. Water Resour. Res., 30, 2133-2141.
14. Fennessy, M. J., and J. Shukla, 2000: Seasonal prediction over North America with a regional model nested in a global model. J. Climate, 13, 2605-2627.
15. 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.
16. Georgakakos, K. P., A. P. Georgakakos, and N. E. Graham, 1998: Assessment of benefits of climate forecasts for reservoir management in the GCIP region. GEWEX News, 8, 5-7.
17. Goddard, L., S. J. Mason, S. E. Zebiak, C. F. Ropelewski, R. Basher, and M. A. Kane. 2001: Current approaches to seasonal-to-interannual climate predictions. Int. J. Climatol., 21, 1111-1152.
18. Hamlet, A. F., and D. P. Lettenmaier, 1999: Columbia River streamflow forecasting based on ENSO and PDO climate signals. ASCE J. Water Resour. Plan. Manage., 125, 333-341.
19. Hamlet, A. F., D. Huppert, and D. P. Lettenmaier, 2002: Economic value of long-lead streamflow forecasts for Columbia River hydropower. ASCE J. Water Resour. Plann. Manage., 128, 91-101.
20. Hooper, E. R., A. P. Georgakakos, and D. P. Lettenmaier, 1991: Optimal stochastic operation of the Salt River Project, Arizona. ASCE J. Water Resour. Plann. Manage., 117, 566-587.
21. Hornberger, G. M., and Coauthors. 2001: A plan for a new science initiative on the global water cycle. U.S. Global Change Research Program, Washington, DC, 118 pp.
22. Hotchkiss, R. H., S. F. Jorgensen, M. C. Stone, and T. A. Fontaine, 2000: Regulated river modeling for climate change impact assessment: The Missouri River. J. Amer. Water Resour. Assoc., 36, 375-386.
23. Hu, Q., and S. Feng, 2001: Variations of teleconnection of ENSO and interannual variation in summer rainfall in the central United States. J. Climate, 14, 2469-2480.
24. Imagine That, Inc., 2001: Extend Professional Simulation Tool Version 5. Imagine That, Inc.
25. Jorgensen, S. F., 1996: Hydrologic modeling of Missouri River reservoirs in a climate model. M.S. thesis, Civil Engineering Dept., University of Nebraska, Lincoln, Nebraska, 109 PP.
26. Kahya, E., and J. A. Dracup, 1993: U.S. streamflow patterns in relation to El Niño/Southern Oscillation. Water Resour. Res., 29, 2491-2503.
27. Lettenmaier, D. P., 1984: Synthetic streamflow forecast generation. ASCE J. Hydraul. Eng., 110, 277-289.
28. Lund, J. R., and I. Ferreira, 1996: Operating rule optimization for the Missouri River reservoir system. ASCE J. Water Resour. Plann. Manage., 122, 287-295.
29. Maurer, E. P., and D. P. Lettenmaier, 2003: Predictability of seasonal runoff in the Mississippi River basin. J. Geophys. Res., 108, 8607, doi: 10.1029/2002JD002555.
30. Maurer, E. P., A. W. Wood, J. C. Adam, D. P. Lettenmaier, and B. Nijssen, 2002: A long-term hydrologically based dataset of land surface fluxes and states for the conterminous United States. J. Climate, 15, 3237-3251.
31. National Research Council, 2002a: Workshop on Predictability and Limits-to-Prediction in Hydrologic Systems. National Academy Press, 118 pp.
32. National Research Council, 2002b: The Missouri River ecosystem: Exploring the prospects for recovery. National Academy Press, 188 pp.
33. Pauwels, V. R. N., R. Hoeben, N. E. C. Verhoest, and F. P. De Troch, 2001: The importance of spatial patterns of remotely sensed soil moisture in the improvement of discharge predictions for small-scale basins through data assimilation. J. Hydrol., 251, 88-102.
34. Rango, A., A. E. Walker, and B. E. Goodison, 2000: Snow and ice. Remote Sensing in Hydrology and Water Management, G. A. Schultz and E. T. Engman, Eds., Springer-Verlag, 239-262.
35. Reisner, M., 1986: Cadillac Desert. Viking Penguin, 514 pp.
36. Reisner, M., and S. Bates, 1990: Overtapped Oasis: Reform or Revolution for Western Water. Island Press, 196 pp.
37. Walker, J. P., and P. R. Houser, 2001: A methodology for initializing soil moisture in a global climate model: Assimilation of near surface soil moisture observations. J. Geophys Res., 106, 11 761-11 774.
38. Wood, A. W., E. P. Maurer, A. Kumar, and D. P. Lettenmaier, 2002: Long range experimental hydrologic forecasting for the eastern U.S. J. Geophys. Res., 107, 4429. doi: 10.1029/2001JD000659.
39. Yao, H., and A. Georgakakos, 2001: Assessment of Folsom Lake response to historical and potential future climate scenarios. 2: Reservoir management. J. Hydrol., 249, 176-196.
40. Yeh, W. W.-G., L. Becker, and R. Zettlemoyer, 1982: Worth of inflow forecast for reservoir operation. J. Water Resour. Plann. Manage., 108, 257-269.