Seasonal hydrologic forecasting: Do multimodel ensemble averages always yield improvements in forecast skill?

Journal of Hydrometeorology

Volumn 11, Issue 6, 2010, Pages 1358-1372

  Bohn, Theodore J ^a   Sonessa, Mergia Y ^a   Lettenmaier, Dennis P ^a  

^a University of Washington   (United States)

Author keywords

Bias; Ensembles; Hydrologic models; North America; Seasonal forecasting

Indexed keywords

DATA PROCESSING; ENSEMBLE FORECASTING; HYDROLOGICAL MODELING; SEASONAL VARIATION; SIMULATION; SNOWMELT; WEATHER FORECASTING;

NORTH AMERICA;

EID: 78651464526     PISSN: 1525755X     EISSN: None     Source Type: Journal    
DOI: 10.1175/2010JHM1267.1     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. Hydrometeor., 7, 755-768.
2. Anderson, E. A., 1973: National Weather Service River Forecast System-Snow accumulation and ablation model. NOAA Tech. Memo. NWS HYDRO-17, 217 pp.
3. Burnash, R. J. C., 1995: The NWS River Forecast System-Catchment modeling. Computer Models of Watershed Hydrology, V. P. Singh, Ed., Water Resources Publications, 311-366.
4. Burnash, R. J. C., R. L. Ferral, and R. A. McGuire, 1973: A generalized streamflow simulation system-Conceptual modeling for digital computers. Joint Federal and State River Forecast Center Tech. Rep., U.S. Department of Commerce, National Weather Service and State of California, Department of Water Resources, 204 pp.
5. Chen, F., and Coauthors, 1996: Modeling of land-surface evaporation by four schemes and comparison with FIFE observations. J. Geophys. Res., 101 (D3), 7251-7268.
6. Cherkauer, K. A., and D. P. Lettenmaier, 1999: Hydrologic effects of frozen soils in the upper Mississippi River basin. J. Geophys. Res., 104 (D16), 19 599-19 610.
7. Day, G. N., 1985: Extended streamflow forecasting using NWSRFS. J. Water Resour. Plan. Manage., 3 (2), 157-170.
8. Duan, Q., N. K. Ajami, X. Gao, and S. Sorooshian, 2007: Multimodel ensemble hydrologic prediction using Bayesian model averaging. Adv. Water Resour., 30, 1371-1386, doi:10.1016/j.advwatres.2006.11.014.
9. Gao, X., and P. A. Dirmeyer, 2006: A multimodel analysis, validation, and transferability study of global soil wetness products. J. Hydrometeor., 7, 1218-1236.
10. Georgakakos, K. P.,D.-J. Seo, H. Gupta, J. Schaake, and M.B. Butts, 2004: Towards the characterization of streamflow simulation uncertainty through multimodel ensembles. J. Hydrol., 298, 222-241, doi:10.1016/j.jhydrol.2004.03.037.
11. Gneiting, T., and A. E. Raftery, 2005: Weather forecasting with ensemble methods. Science, 310, 248-249, doi:10.1126/science.1115255.
12. Guo, Z., P. A. Dirmeyer, X. Gao, and M. Zhao, 2007: Improving the quality of simulated soil moisture with a multi-model ensemble approach. Quart. J. Roy. Meteor. Soc., 133, 731-747.
13. 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 modeling. J. Hydrol., 377, 80-91, doi:10.1016/j.jhydrol.2009.08.003.
14. Hoeting, J. A., D. Madigan, A. E. Raftery, and C. T. Volinsky, 1999: Bayesian model averaging: A tutorial. Stat. Sci., 14 (4), 382-417.
15. Koren, V., J. Schaake, K. Mitchell, Q. Y. Duan, F. Chen, and J. M. Baker, 1999: A parameterization of snowpack and frozen ground intended for NCEP weather and climate models. J. Geophys. Res., 104, 19 569-19 585.
16. 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 superensembles. Science, 285, 1548-1550.
17. Krishnamurti, T.N., C.M. Kishtawal, Z. Zhang, T. E. LaRow, D. R. Bachiochi, and C. E. Williford, 2000: Multimodel ensemble forecasts for weather and seasonal climate. J. Climate, 13, 4196-4216.
18. 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 GSMs. J. Geophys. Res., 99 (D7), 14 415-14 428.
19. Lohmann, D., R. Nolte-Holube, and E. Raschke, 1996: A large scale horizontal routing model to be coupled to land surface parameterization schemes. Tellus, 48A, 708-721.
20. Lohmann, D., E. Raschke, B. Nijssen, and D. P. Lettenmaier, 1998: Regional scale hydrology: 1. Formulation of the VIC-2L model coupled to a routing model. Hydrol. Sci. J., 43, 131-141.
21. 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.
22. Mitchell, K. E., and Coauthors, 2004: The multi-institution North American Land Data Assimilation System (NLDAS): Utilizing multiple GCIP products and partners in a continental distributed hydrological modeling system. J. Geophys. Res., 109, D07S90, doi:10.1029/2003JD003823.
23. Murphy, A. H., 1988: Skill scores based on the mean square error and their relationships to the correlation coefficient. Mon. Wea. Rev., 116, 2417-2424.
24. Pagano, T., D. Garen, and S. Sorooshian, 2004: Evaluation of official western U.S. seasonal water supply outlooks, 1922-2002. J. Hydrometeor., 5, 896-909.
25. Shi, X., A. W. Wood, and D. P. Lettenmaier, 2008: How essential is hydrologic model calibration to seasonal streamflow forecasting? J. Hydrometeor., 9, 1350-1363.
26. Snover, A. K., A. F. Hamlet, and D. P. Lettenmaier, 2003: Climatechange scenarios for water planning studies. Bull. Amer. Meteor. Soc., 84, 1513-1518.
27. Tang, Y., P. Reed, T. Wagner, and K. van Werkhoven, 2007: Comparing sensitivity of analysis methods to advance lumped watershed model identification and evaluation. Hydrol. Earth Syst. Sci., 11, 793-817.
28. Viney, N. R., and Coauthors, 2009: Assessing the impact of Land Use Change on Hydrology by Ensemble Modeling (LUCHEM) II: Ensemble combinations and predictions. Adv. Water Resour., 32, 147-158, doi:10.1016/j.advwatres.2008.05.006.
29. 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.
30. Wang, A., T. J. Bohn, S. P. Mahanama, R. D. Koster, and D. P. Lettenmaier, 2009: Multimodel ensemble reconstruction of drought over the continental United States. J. Climate, 22, 2694-2712.
31. Weigel, A. P., M. A. Liniger, and C. Appenzeller, 2008: Can multimodel combination really enhance the prediction skill of probabilistic ensemble forecasts? Quart. J. Roy.Meteor. Soc., 134, 241-260.
32. Winter, C. L., and D. Nychka, 2009: Forecasting skill of model averages. Stochastic Environ. Res. Risk Assess., 24, 633-638, doi:10.1007/s00477-009-0350-y.
33. 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.
34. Yapo, P. O., H. V. Gupta, and S. Sorooshian, 1998: Multi-objective global optimization for hydrologic models. J. Hydrol., 204, 83-97.