Value of long-term streamflow forecasts to reservoir operations for water supply in snow-dominated river catchments

Water Resources Research

Volumn 52, Issue 6, 2016, Pages 4209-4225

  Anghileri, D ^a   Voisin, N ^b   Castelletti, A ^a,c   Pianosi, F ^d   Nijssen, B ^e   Lettenmaier, D P ^f  

^a ETH ZURICH   (Switzerland)

^b PACIFIC NORTHWEST NATIONAL LABORATORY   (United States)

^c POLITECNICO DI MILANO   (Italy)

^d UNIVERSITY OF BRISTOL   (United Kingdom)

^e University of Washington   (United States)

^f UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Ensemble Streamflow Prediction; Model Predictive Control; Oroville Reservoir (California); reservoir operation; seasonal streamflow forecast; water supply

Indexed keywords

CATCHMENTS; MODEL PREDICTIVE CONTROL; PREDICTIVE CONTROL SYSTEMS; RESERVOIR MANAGEMENT; RESERVOIRS (WATER); SNOW; STREAM FLOW; WATER SUPPLY;

CALIFORNIA; LONG-TERM INFLOW FORECASTS; NUMERICAL EXPERIMENTS; RESERVOIR OPERATION; STREAMFLOW FORECAST; STREAMFLOW PREDICTION; VARIABLE INFILTRATION CAPACITIES; WATER SUPPLY RESERVOIRS;

FORECASTING;

ADAPTIVE MANAGEMENT; CATCHMENT; ENSEMBLE FORECASTING; HYDROLOGICAL MODELING; INFLOW; OPTIMIZATION; RESERVOIR; RIVER BASIN; STREAMFLOW; WATER SUPPLY;

CALIFORNIA; UNITED STATES;

EID: 84978744519     PISSN: 00431397     EISSN: 19447973     Source Type: Journal    
DOI: 10.1002/2015WR017864     Document Type: Article

References (57)

1. Alemu, E. T., R. N. Palmer, A. Polebitski, and B. Meaker (2010), Decision support system for optimizing reservoir operations using ensemble streamflow predictions, J. Water Resour. Plann. Manage., 137(1), 72–82.
2. Andersen, J. C., H. H. Hiskey, and S. Lackawathana (1971), Application of statistical decision theory to water use analysis in Sevier County, Utah, Water Resour. Res., 7(3), 443–452.
3. Boucher, M., D. Tremblay, L. Delorme, L. Perreault, and F. Anctil (2012), Hydro-economic assessment of hydrological forecasting systems, J. Hydrol., 416–417, 133–144.
4. Breckpot, M., O. A. Agudelo, P. Meert, P. Willems, and B. De Moor (2013), Flood control of the demer by using Model Predictive Control, Control Eng. Pract., 21(12), 1776–1787.
5. Caraway, N. M., J. L. McCreight, and B. Rajagopalan (2014), Multisite stochastic weather generation using cluster analysis and k-nearest neighbor time series resampling, J. Hydrol., 508, 197–213.
6. Chiew, F., S. Zhou, and T. McMahon (2003), Use of seasonal streamflow forecasts in water resources management, J. Hydrol., 270(1–2), 135–144, doi:10.1016/S0022-1694(02)00292-5.
7. Day, G. N. (1985), Extended streamflow forecasting using NWSRFS, J. Water Resour. Plann. Manage., 111(2), 157–170.
8. Draper, A., and J. Lund (2004), Optimal hedging and carryover storage value, J. Water Resour. Plann. Manage., 130(1), 83–87.
9. Draper, A., A. Munévar, S. Arora, E. Reyes, N. Parker, F. Chung, and L. Peterson (2004), Calsim: Generalized model for reservoir system analysis, J. Water Resour. Plann. Manage., 130(6), 480–489.
10. Faber, B. A., and J. R. Stedinger (2001), Reservoir optimization using sampling SDP with ensemble streamflow prediction (ESP) forecasts, J. Hydrol., 249(1–4), 113–133.
11. Franz, K. J., H. C. Hartmann, S. Sorooshian, and R. Bales (2003), Verification of national weather service ensemble streamflow predictions for water supply forecasting in the Colorado River basin, J. Hydrometeorol., 4(6), 1105–1118.
12. Galelli, S., A. Goedbloed, D. Schwanenberg, and P. van Overloop (2014), Optimal real-time operation of multipurpose urban reservoirs: Case study in Singapore, J. Water Resour. Plann. Manage., 140(4), 511–523.
13. Georgakakos, A., H. Yao, M. Kistenmacher, K. Georgakakos, N. Graham, F. Cheng, C. Spencer, and E. Shamir (2012), Value of adaptive water resources management in Northern California under climatic variability and change: Reservoir management, J. Hydrol., 412–413, 34–46, doi:10.1016/j.jhydrol.2011.04.038.
14. Georgakakos, K., and N. Graham (2008), Potential benefits of seasonal inflow prediction uncertainty for reservoir release decisions, J. Appl. Meteorol. Climatol., 47(5), 1297–1321.
15. Georgakakos, K., N. Graham, T. Carpenter, and H. Yao (2005), Integrating climate-hydrology forecasts and multi-objective reservoir management for Northern California, Eos Trans. AGU, 86(12), 122–127.
16. Graham, N. E., K. P. Georgakakos, C. Vargas, and M. Echevers (2006), Simulating the value of El Niño forecasts for the Panama Canal, Adv. Water Resour., 29(11), 1665–1677.
17. Gupta, H. V., H. Kling, K. K. Yilmaz, and G. F. Martinez (2009), Decomposition of the mean squared error and NSE performance criteria: Implications for improving hydrological modelling, J. Hydrol., 377(1–2), 80–91, doi:10.1016/j.jhydrol.2009.08.003.
18. Hamlet, A. F., and D. P. Lettenmaier (1999), Columbia River streamflow forecasting based on ENSO and PDO climate signals, J. Water Resour. Plann. Manage., 125(6), 333–341.
19. Hamlet, A. F., D. Huppert, and D. P. Lettenmaier (2002), Economic value of long-lead streamflow forecasts for Columbia River hydropower, J. Water Resour. Plann. Manage., 128(2), 91–101.
20. Hashimoto, T., J. Stedinger, and D. Loucks (1982), Reliability, resilience, and vulnerability criteria for water resource system performance evaluation, Water Resour. Res., 18(1), 14–20.
21. Kalra, A., S. Ahmad, and A. Nayak (2012), Increasing streamflow forecast lead time for snowmelt-driven catchment based on large-scale climate patterns, Adv. Water Resour., 53, 150–162.
22. Kim, Y., and R. N. Palmer (1997), Value of seasonal flow forecasts in Bayesian stochastic programming, J. Water Resour. Plann. Manage., 123(6), 327–335.
23. Koskela, J. (2009), Studies on long-term inflow forecasting, PhD thesis, Helsinki Univ. of Technol., Helsinki.
24. Laio, F., and S. Tamea (2007), Verification tools for probabilistic forecasts of continuous hydrological variables, Hydrol. Earth Syst. Sci., 11, 1267–1277.
25. Li, H., L. Luo, E. F. Wood, and J. Schaake (2009), The role of initial conditions and forcing uncertainties in seasonal hydrologic forecasting, J. Geophys. Res., 114, D04114, doi:10.1029/2008JD010969.
26. Liang, X., D. P. Lettenmaier, E. F. Wood, and S. J. Burges (1994), A simple hydrologically based model of land surface water and energy fluxes for general circulation models, J. Geophys. Res., 99(D7), 14,415–14,428.
27. Luo, L., E. F. Wood, and M. Pan (2007), Bayesian merging of multiple climate model forecasts for seasonal hydrological predictions, J. Geophys. Res., 112, D10102, doi:10.1029/2006JD007655.
28. Maurer, E. P., and D. P. Lettenmaier (2004), Potential effects of long-lead hydrologic predictability on Missouri River main-stem reservoirs, J. Clim., 17(1), 174–186.
29. 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. Clim., 15(22), 3237–3251.
30. Mayne, D., J. Rawlings, C. Rao, and P. Scokaert (2000), Constrained model predictive control: Stability and optimality, Automatica, 36(6), 789–814, doi:10.1016/S0005-1098(99)00214-9.
31. Murphy, A. H. (1993), What is a good forecast? An essay on the nature of goodness in weather forecasting, Weather Forecasting, 8(2), 281–293.
32. Neelakantan, T., and N. Pundarikanthan (1999), Hedging rule optimisation for water supply reservoirs system, Water Resour. Manage., 13(6), 409–426.
33. Pagano, T., H. C. Hartmann, and S. Sorooshian (2001), Using climate forecasts for water management: Arizona and the 1997–1998 el niño1, J. Am. Water Resour. Assoc., 37(5), 1139–1153.
34. Pagano, T., D. Garen, and S. Sorooshian (2004), Evaluation of official western US seasonal water supply outlooks, 1922-2002, J. Hydrometeorol., 5(5), 896–909.
35. Pagano, T., A. Wood, K. Werner, and R. Tama-Sweet (2014), Western US water supply forecasting: A tradition evolves, Eos Trans. AGU, 95(3), 28–29.
36. Rosenberg, E. A., A. W. Wood, and A. C. Steinemann (2011), Statistical applications of physically based hydrologic models to seasonal streamflow forecasts, Water Resour. Res., 47, W00H14, doi:10.1029/2010WR010101.
37. Saavedra Valeriano, O. C., T. Koike, K. Yang, T. Graf, X. Li, L. Wang, and X. Han (2010), Decision support for dam release during floods using a distributed biosphere hydrological model driven by quantitative precipitation forecasts, Water Resour. Res., 46, W10544, doi:10.1029/2010WR009502.
38. Saha, S., et al. (2014), The NCEP climate forecast system version 2, J. Clim., 27(6), 2185–2208.
39. Sankarasubramanian, A., U. Lall, N. Devineni, and S. Espinueva (2009a), The role of monthly updated climate forecasts in improving intraseasonal water allocation, J. Appl. Meteorol. Climatol., 48(7), 1464–1482.
40. Sankarasubramanian, A., U. Lall, F. A. Souza, and A. Sharma (2009b), Improved water allocation utilizing probabilistic climate forecasts: Short-term water contracts in a risk management framework, Water Resour. Res., 45, W11409, doi:10.1029/2009WR007821.
41. Scattolini, R. (2009), Architectures for distributed and hierarchical model predictive control—A review, J. Process Control, 19(5), 723–731, doi:10.1016/j.jprocont.2009.02.003.
42. Shukla, S., and D. P. Lettenmaier (2011), Seasonal hydrologic prediction in the United States: Understanding the role of initial hydrologic conditions and seasonal climate forecast skill, Hydrol. Earth Syst. Sci., 15(11), 3529–3538, doi:10.5194/hess-15-3529-2011.
43. Sinha, T., and A. Sankarasubramanian (2013), Role of climate forecasts and initial conditions in developing streamflow and soil moisture forecasts in a rainfall–runoff regime, Hydrol. Earth Syst. Sci., 17(2), 721–733.
44. Soncini-Sessa, R., A. Castelletti, and E. Weber (2007), Integrated and Participatory Water Resources Management—Theory, Elsevier, Amsterdam, Netherlands.
45. Voisin, N., A. F. Hamlet, L. P. Graham, D. W. Pierce, T. P. Barnett, and D. P. Lettenmaier (2006), The role of climate forecasts in western US power planning, J. Appl. Meteorol. Climatol., 45(5), 653–673.
46. Voisin, N., F. Pappenberger, D. P. Lettenmaier, R. Buizza, and J. C. Schaake (2011), Application of a medium-range global hydrologic probabilistic forecast scheme to the Ohio River basin, Weather Forecasting, 26(4), 425–446.
47. Wang, F., L. Wang, H. Zhou, O. C. Saavedra Valeriano, T. Koike, and W. Li (2012), Ensemble hydrological prediction-based real-time optimization of a multiobjective reservoir during flood season in a semiarid basin with global numerical weather predictions, Water Resour. Res., 48, W07520, doi:10.1029/2011WR011366.
48. Watkins, D., and W. Wei (2008), The Value of Seasonal Climate Forecasts and Why Water Managers Don't Use Them, World Environmental and Water Resources Congress 2008, pp. 1–5, doi:10.1061/40976(316)550.
49. Whateley, S., R. Palmer, and C. Brown (2014), Seasonal hydroclimatic forecasts as innovations and the challenges of adoption by water managers, J. Water Resour. Plann. Manage., 141, 04014071, doi:10.1061/(ASCE)WR.1943-5452.0000466.
50. Wood, A. W., and D. P. Lettenmaier (2006), A test bed for new seasonal hydrologic forecasting approaches in the western United States, Bull. Am. Meteorol. Soc., 87(12), 1699–1712.
51. Wood, A. W., E. P. Maurer, A. Kumar, and D. P. Lettenmaier (2002), Long-range experimental hydrologic forecasting for the Eastern United States, J. Geophys. Res., 107(D20), 4429, doi:10.1029/2001JD000659.
52. Yao, H., and A. Georgakakos (2001), Assessment of Folsom Lake response to historical and potential future climate scenarios: 2. Reservoir management, J. Hydrol., 249(1), 176–196.
53. Yapo, P. O., H. V. Gupta, and S. Sorooshian (1998), Multi-objective global optimization for hydrologic models, J. Hydrol., 204(1–4), 83–97, doi:10.1016/S0022-1694(97)00107-8.
54. You, J., and X. Cai (2008), Determining forecast and decision horizons for reservoir operations under hedging policies, Water Resour. Res., 44, W11430, doi:10.1029/2008WR006978.
55. Yuan, X., E. F. Wood, L. Luo, and M. Pan (2011), A first look at climate forecast system version 2 (CFSv2) for hydrological seasonal prediction, Geophys. Res. Lett., 38, L13402, doi:10.1029/2011GL047792.
56. Zhao, T., and J. Zhao (2014), Joint and respective effects of long- and short-term forecast uncertainties on reservoir operations, J. Hydrol., 517, 83–94, doi:10.1016/j.jhydrol.2014.04.063.
57. Zhao, T., D. Yang, X. Cai, J. Zhao, and H. Wang (2012), Identifying effective forecast horizon for real-time reservoir operation under a limited inflow forecast, Water Resour. Res., 48, W01540, doi:10.1029/2011WR010623.