Systematic uncertainty reduction strategies for developing streamflow forecasts utilizing multiple climate models and hydrologic models

Water Resources Research

Volumn 50, Issue 2, 2014, Pages 1288-1307

  Singh, Harminder ^a   Sankarasubramanian, A ^a  

^a North Carolina State University   (United States)

Author keywords

Climate Forecasts; Model Combination; Model Uncertainty; Streamflow Forecasts

Indexed keywords

FORECASTING; STREAM FLOW; UNCERTAINTY ANALYSIS; WATERSHEDS;

CLIMATE FORECASTS; HYDROLOGIC MODELING; MODEL COMBINATION; MODEL UNCERTAINTIES; MULTI-MODEL COMBINATION; STREAMFLOW FORECAST; STREAMFLOW PREDICTION; SYSTEMATIC UNCERTAINTIES;

CLIMATE MODELS;

CLIMATE MODELING; CLIMATE PREDICTION; ERROR ANALYSIS; HYDROLOGICAL MODELING; STREAMFLOW; UNCERTAINTY ANALYSIS; WATERSHED; WEATHER FORECASTING;

EID: 84893827797     PISSN: 00431397     EISSN: 19447973     Source Type: Journal    
DOI: 10.1002/2013WR013855     Document Type: Article

References (48)

1. Ajami, N. K., Q. Duan, and, S. Sorooshian, (2007), An integrated hydrologic Bayesian multimodel combination framework: Confronting input, parameter, and model structural uncertainty in hydrologic prediction, Water Resour. Res., 43, W01403, doi: 10.1029/2005WR004745. (Pubitemid 46364281)
2. Alessandri, A., A. Borrelli, S. Masina, A. Cherchi, S. Gualdi, A. Navarra, P. Di Pietro, and, A. F. Carril, (2010), The INGV-CMCC seasonal prediction system: Improved ocean initial conditions, Mon. Weather Rev., 138, 2930-2952.
3. Barnston, A. G., S. J. Mason, L. Goddard, D. G. DeWitt, and, S. E. Zebiak, (2003), Multimodel ensembling in seasonal climate forecasting at IRI, Bull. Am. Meteorol. Soc., 84, 1783-1796, doi: 10.1175/BAMS-84-12-1783.
4. Bohn, T. J., M. Y. Sonessa, and, D. P. Lettenmaier, (2010), Seasonal hydrologic forecasting: Do multi-model ensemble averages always yield improvements in forecast skill?, J. Hydrometeorol., 11 (6), 1357-1371, doi: 10.1175/2010JHM1267.1.
5. Chowdhury, S., and, A. Sharma, (2009), Long-range Nin o-3.4 predictions using pairwise dynamic combinations of multiple models, J. Clim., 22, 793-805.
6. Devineni, N., and, A. Sankarasubramanian, (2010), Improved categorical winter precipitation forecasts through multimodel combinations of coupled GCMs, Geophys. Res. Lett., 37, L24704, doi: 10.1029/2010GL044989.
7. 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.
8. Duan, Q., N. K. Ajami, X. Gao, and, S. Sorooshian, (2007), Multi-model ensemble hydrologic prediction using Bayesian model averaging, Adv. Water Resour., 30 (5), 1371-1386, doi: 10.1016/j.advwatres.2006.11.014. (Pubitemid 46323445)
9. Feyen, L., K. J. Beven, F. De Smedt, and, J. Freer, (2001), Stochastic capture zones delineated within the generalized likelihood uncertainty estimation methodology: Conditioning on head observations, Water Resour. Res., 37, 625-638. (Pubitemid 32526062)
10. Georgakakos, K. P., D.-J. Seo, H. V. Gupta, J. Schaake, and, M. B. Butts, (2004), Characterising streamflow simulation uncertainty through multimodel ensembles, J. Hydrol., 298 (1-4), 222-241. (Pubitemid 39098775)
11. Goddard, L., A. G. Barnston, and, S. J. Mason, (2003), Evaluation of the IRI's "net assessment" seasonal climate forecasts: 1997-2001, Bull. Am. Meteorol. Soc., 84, 1761-1781.
12. Koster, R. D., et al. (2011), The second phase of the global land-atmosphere coupling experiment: Soil moisture contributions to subseasonal forecast skill, J. Hydrometeorol., 12 (5), 805-822.
13. Krishnamurti, T. N., C. M. Kishtawal, T. E. Larow, D. R. Bachiochi, Z. Zhang, C. E. Williford, S. Gadgil, and, S. Surendran, (1999), Improved weather and seasonal climate forecasts from multimodel superensemble, Science, 285, 1548-1550. (Pubitemid 29420575)
14. 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.
15. 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.
16. Luo, L., and, E. F. Wood, (2008), Use of Bayesian merging techniques in a multi-model seasonal hydrologic ensemble prediction system for the Eastern U.S., J. Hydrometeorol., 5, 866-884.
17. Mahanama, S. P. P., B. Livneh, R. D. Koster, D. Lettenmaier, and, R. H. 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.
18. Marshall, L., D. Nott, and, A. Sharma, (2005), Hydrological model selection: A Bayesian alternative, Water Resour. Res., 41, W10422, doi: 10.1029/2004WR003719. (Pubitemid 41705706)
19. Marshall, L., A. Sharma, and, D. Nott, (2006), Modeling the catchment via mixtures: Issues of model specification and validation, Water Resour. Res., 42, W11409, doi: 10.1029/2005WR004613. (Pubitemid 46134880)
20. Marshall, L., A. Sharma, D. Nott, (2007a), A single model ensemble versus a dynamic modeling platform: Semi-distributed rainfall runoff modeling in a Hierarchical Mixtures of Experts framework, Geophys. Res. Lett., 34, L01404, doi: 10.1029/2006GL028054. (Pubitemid 47277730)
21. Marshall, L., A. Sharma, and, D. Nott, (2007b), Towards dynamic catchment modelling: A Bayesian hierarchical mixtures of experts framework, Hydrol. Processes, 21 (7), 847-861, doi: 10.1002/hyp.6294. (Pubitemid 46510578)
22. Najafi, M. R., H. Moradkhani, and, I. W. Jung, (2011), Assessing the uncertainties of hydrologic model selection in climate change impact studies, Hydrol. Processes, 25, 2814-2826, doi: 10.1002/hyp.8043.
23. Palmer, T. N., et al. (2004), Development of a European multimodel ensemble system for Seasonal-to-interannual prediction (DEMETER), Bull. Am. Meteorol. Soc., 85, 853-872, doi: 10.1175/BAMS-85-6-853.
24. Parrish, M., H. Moradkhani, and, C. M. DeChant, (2012), Towards reduction of model uncertainty: Integration of Bayesian model averaging and data assimilation, Water Resour. Res., 48, W03519, doi: 10.1029/2011WR011116.
25. Oudin, L., C. Perrin, T. Mathevet, V. Andréassian, and, C. Michel, (2006), Impact of biased and randomly corrupted inputs on the efficiency and the parameters of watershed models, J. Hydrol., 320, 62-83, doi: 10.1016/j.jhydrol.2005.07.016.
26. Overgaard, J., D. Rosbjerg, and, M. B. Butts, (2006), Land-surface modeling in hydrological perspective-A review, Biogeosciences, 3, 229-241. (Pubitemid 43760974)
27. Quan, X., et al., (2006), Diagnosing sources of US seasonal forecast skill, J. Clim., 19, 3279-3293, doi: 10.1175/JCLI3789.1. (Pubitemid 44177919)
28. 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. (Pubitemid 34825245)
29. Regonda, S. K., B. Rajagopalan, M. Clark, and, J. Pitlick, (2005), Seasonal cycle shifts in hydroclimatology over the western United States, J. Clim., 18, 372-384. (Pubitemid 40323033)
30. Sankarasubramanian, A., and, R. M. Vogel, (2002a), Annual hydroclimatology of the United States, Water Resour. Res., 38 (6), 1083, doi: 10.1029/2001WR000619.
31. Sankarasubramanian, A., and, R. M. Vogel, (2002b), Comment on the paper: Basin hydrologic response relations to distributed physiographic descriptors and climate, J. Hydrol., 263, 257-261.
32. Sankarasubramanian, A., U. Lall, and, S. Espuneva, (2008), Role of retrospective forecasts of GCM forced with persisted SST anomalies in operational streamflow forecasts development, J. Hydrometeorol., 9, 212-227.
33. Shamseldin, A. Y., K. M. O'Connor, and, G. C. Liang, (1997), Methods for combining the outputs of different rainfall-runoff model, J. Hydrol., 197, 203-229. (Pubitemid 27335611)
34. Shi, X., A. W. Wood, and, D. P. Lettenmaier, (2008), How essential is hydrologic model calibration to seasonal streamflow forecasting?, J. Hydrometeorol., 9 (6), 1350-1363.
35. Sinha, T., and, A. Sankarasubramanian, (2013), 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, doi: 10.5194/hess-17-721-2013.
36. Thomas, H. A., (1981), Improved methods for national water assessment, Rep. contract WR 15249270, U.S. Water Resour. Counc., Washington, D. C.
37. Vogel, R. M., and, A. Sankarasubramanian, (1999), On the validation of a watershed model, poster presentation at IUGG, Univ. of Buckingham.
38. Vogel, R. M., and, A. Sankarasubramanian, (2000), Scaling properties of annual streamflow in the continental United States, J. Hydrol. Sci., 45, 465-476. (Pubitemid 30452836)
39. Vogel, R. M., and, A. Sankarasubramanian, (2005), Monthly Climate Data for Selected USGS HCDN Sites, 1951-1990, Oak Ridge Natl. Lab. Distrib. Active Arch. Cent., Oak Ridge, Tenn., doi: 10.3334/ORNLDAAC/810. [Available at http://www.daac.ornl.gov.].
40. Vrugt, J. A., and, B. A. Robinson, (2007), Treatment of uncertainty using ensemble methods: Comparison of sequential data assimilation and Bayesian model averaging, Water Resour. Res., 43, W01411, doi: 10.1029/2005WR004838. (Pubitemid 46364289)
41. Vrugt, J. A., B. O. Nualláin, B. A. Robinson, W. Bouten, S. C. Dekker, and, P. M. A. Sloot, (2006), Application of parallel computing to stochastic parameter estimation in environmental models, Comput. Geosci., 32 (8), 1139-1155, doi: 10.1016/j.cageo.2005.10.015. (Pubitemid 44111825)
42. Wang, H., A. Sankarasubramanian, and, R. S. Ranjithan, (2013), Integration of climate and weather information for improving 15-day ahead accumulated precipitation forecasts, J. Hydrometeorol., 14 (1), 186-202, doi: 10.1175/JHM-D-11-0128.1.
43. 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. (Pubitemid 351512725)
44. Wood, A. W., and, D. P. Lettenmaier, (2008), An ensemble approach for attribution of hydrologic prediction uncertainty, Geophys. Res. Lett., 35, L14401, doi: 10.1029/2008GL034648.
45. 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, 4429, doi: 10.1029/2001JD000659.
46. Xiong, L. H., A. Y. Shamseldin, and, K. M., O'Connor, (2001), A nonlinear combination of the forecasts of rainfall-runoff models by the first order Takagi-Sugeno fuzzy system, J. Hydrol., 245 (1-4), 196-217. (Pubitemid 32386216)
47. Xu, C. Y., and, V. P. Singh, (2004), Review on regional water resources assessment models under stationary and changing climate, Water Resour. Manage., 18, 591-612. (Pubitemid 40289904)
48. Yuan, X., and, E. F. Wood, (2012), Downscaling precipitation or bias-correcting streamflow? Some implications for coupled general circulation model (CGCM)-based ensemble seasonal hydrologic forecast, Water Resour. Res., 48, W12519, doi: 10.1029/2012WR012256.