Improved regional water management utilizing climate forecasts: An interbasin transfer model with a risk management framework

Water Resources Research

Volumn 50, Issue 8, 2014, Pages 6810-6827

  Li, Weihua ^a   Sankarasubramanian, A ^a   Ranjithan, R S ^a   Brill, E D ^a  

^a North Carolina State University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CLIMATE MODELS; FORECASTING; OPTIMIZATION; RESERVOIRS (WATER); RISK MANAGEMENT; STREAM FLOW; WATER DISTRIBUTION SYSTEMS; WATER MANAGEMENT; WATER SUPPLY; WATER SUPPLY SYSTEMS;

OPTIMIZATION MODELING; REGIONAL WATER SUPPLY SYSTEMS; RISK MANAGEMENT FRAMEWORK; SPATIAL CORRELATION STRUCTURES; SPATIAL CORRELATIONS; STREAM FLOW FORECASTS; SYNTHETIC EXPERIMENTS; WATER ALLOCATION MODELS;

INFORMATION MANAGEMENT;

EID: 84906301522     PISSN: 00431397     EISSN: 19447973     Source Type: Journal    
DOI: 10.1002/2013WR015248     Document Type: Article

References (34)

1. Ajami, N. K., Q. Duan, X. Gao, and S. Sorooshian (2006), Multimodel combination techniques for analysis of hydrological simulations: Application to Distributed Model Intercomparison Project results, J. Hydrometeorol., 7(4), 755-768
2. Cai, X., and M. W. Rosegrant (2004), Optional water development strategies for the Yellow River Basin: Balancing agricultural and ecological water demands, Water Resour. Res., 40, W08S04, doi:10.1029/2003WR002488
3. Characklis, G. W., B. R. Kirsch, J. Ramsey, K. E. M. Dillard, and C. T. Kelley (2006), Developing portfolios of water supply transfers, Water Resour. Res., 42, W05403, doi:10.1029/2005WR004424
4. Devineni, N., and A. Sankarasubramanian (2010a), Improved categorical winter precipitation forecasts through multimodel combinations of coupled GCMs, Geophys. Res. Lett., 37, L24704, doi:10.1029/2010GL044989
5. Devineni, N., and A. Sankarasubramanian (2010b), Improving the prediction of winter precipitation and temperature over the continental United States: Role of the ENSO State in developing multimodel combinations, Mon. Weather Rev., 138, 2447-2468, doi:10.1175/2009MWR3112.1
6. Devineni, N., A. Sankarasubramanian, and S. Ghosh (2008), Multimodel ensembles of streamflow forecasts: Role of predictor state in developing optimal combinations, Water Resour. Res., 44, W09404, doi:10.1029/2006WR005855
7. Fernandez, B., and J. D. Salas (1986), Periodic gamma autoregressive processes for operational hydrology, Water Resour. Res., 22(10), 1385-1396, doi:10.1029/WR022i010p01385
8. Georgakakos, K. P., and N. E. Graham (2008), Potential benefits of seasonal inflow prediction uncertainty for reservoir release decisions, J. Appl. Meteorol. Climatol., 47, 1297-1321, doi:10.1175/2007JAMC1671.1
9. Glieck, P. H. (1998), Water in crisis: Paths to sustainable water use, Ecol. Soc. Am., 8(3), 571-579
10. Golembesky, K., A. Sankarasubramanian, and N. Devineni (2009), Improved drought management of Falls Lake Reservoir: Role of multimodel streamflow forecasts in setting up restrictions, J. Water Resour. Plann. Manage., 135(3), 188-197
11. Hamlet, A. F., D. 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(2), 91-101
12. Koster, R. D., P. A. Dirmeyer, A. N. Hahmann, R. Ijpelaar, L. Tyahla, P. Cox, and M. J. Suarez (2002), Comparing the degree of land-atmosphere interaction in four atmospheric general circulation models, J. Hydrometeorol., 3, 363-375, doi:10.1175/1525-7541(2002)003<0363:CTDOLA>2.0.CO;2
13. Li, W., and A. Sankarasubramanian (2012), Reducing hydrologic model uncertainty in monthly streamflow predictions using multimodel combination, Water Resour. Res., 48, W12516, doi:10.1029/2011WR011380
14. 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. Oceans, 114, D04114, doi:10.1029/2008JD010969
15. Mahanama, S., B. Livneh, R. Koster, D. Lettenmaier, and R. Reichle (2012), Soil moisture, snow, and seasonal streamflow forecasts in the United States, J. Hydrometeorol., 13, 189-203, doi:10.1175/JHM-D-11-046.1
16. Maurer, E. P., and D. P. Lettenmaier (2004), Potential effects of long-lead hydrologic predictability on Missouri river main-stem reservoirs, J. Clim., 17, 174-186, doi:10.1175/1520-0442(2004)017<0174:PEOLHP>2.0.CO;2
17. 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, 3237-3251, doi:10.1175/1520-0442(2002)015<3237:ALTHBD>2.0.CO;2
18. Maurer, E. P., D. P. Lettenmaier, and N. J. Mantua (2004), Variability and potential sources of predictability of North American runoff, Water Resour. Res., 40, W09306, doi:10.1029/2003WR002789
19. Oludhe, C., A. Sankarasubramanian, T. Sinha, N. Devineni, and U. Lall (2013), The role of multimodel climate forecasts in improving water and energy management over the Tana River Basin, Kenya, J. Appl. Meteorol. Climatol., 52(11), 2460-2475
20. Pagano, T. C., H. C. Hartmann, and S. Sorooshian (2002), Factors affecting seasonal forecast use in Arizona water management: A case study of the 1997-98 El Nino, Clim. Res., 21(3), 259-269
21. Palmer, R. N., and G. W. Characklis (2009), Reducing the costs of meeting regional water demand through risk-based transfer agreements, J. Environ. Manage., 90(5), 1703-1714
22. Piechota, T. C., F. H. S. Chiew, J. A. Dracup, and T. A. McMahon (2001), Development of exceedance probability streamflow forecast, J. Hydrol. Eng., 6(1), 20-28
23. Postel, S. L., G. C. Daily, and P. R. Ehrlich (1996), Human appropriation of renewable fresh water, Science, 271(5250), 785-788, doi:10.1126/science.271.5250.785.
24. Pulido-Velazquez, M., M. W. Jenkins, and J. R. Lund (2004), Economic values for conjunctive use and water banking in southern California, Water Resour. Res., 40, W03401, doi:10.1029/2003WR002626
25. Rajagopalan, B., U. Lall, and S. E. Zebiak (2002), Categorical climate forecasts through regularization and optimal combination of multiple GCM ensembles, Mon. Weather Rev., 130, 1792-1811, doi:10.1175/1520-0493(2002)130<1792:CCFTRA>2.0.CO;2
26. Sankarasubramanian, A., U. Lall, F. A. Souza Filho, and A. Sharma (2009a), 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
27. Sankarasubramanian, A., U. Lall, N. Devineni, and S. Espunevea (2009b), Utility of operational streamflow forecasts in improving withinseason reservoir operation, J. Appl. Climatol. Meteorol., 48(7), 1464-1482
28. Sicard, E., R. Sabatier, H. Niel, and E. Cadier (2002), A new approach in space-time analysis of multivariate hydrological data: Application to Brazil’s Nordeste region rainfall, Water Resour. Res., 38(12), 1319, doi:10.1029/2002WR001413
29. Singh, H., and A. Sankarasubramanian (2014), Systematic uncertainty reduction strategies for developing streamflow forecasts utilizing multiple climate models and hydrologic models, Water Resour. Res., 50, 1288-1307, doi:10.1002/2013WR013855
30. Sinha, T., and A. Sankarasubramanian (2012), Role of climate forecasts and initial land-surface conditions in developing operational streamflow and soil moisture forecasts in a rainfall-runoff regime: Skill assessment, Hydrol. Earth Syst. Sci., 17, 721-733
31. 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, 653-673
32. Weigel, A. P., M. A. Liniger, and C. Appenzeller (2008), Can multi-model combination really enhance the prediction skill of probabilistic ensemble forecasts?, Q. J. R. Meteorol. Soc., 134, 241-260, doi:10.1002/qj.210
33. 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
34. 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.