Uncertainty propagation of regional climate model precipitation forecasts to hydrologic impact assessment

Journal of Hydrometeorology

Volumn 2, Issue 2, 2001, Pages 140-160

  Kyriakidis, Phaedon C ^a,b   Miller, Norman L ^b   Kim, Jinwon ^b  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b LAWRENCE BERKELEY NATIONAL LABORATORY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 0035532373     PISSN: 1525755X     EISSN: None     Source Type: Journal    
DOI: 10.1175/1525-7541(2001)002<0140:UPORCM>2.0.CO;2     Document Type: Article

References (37)

1. Abramovitz, M., and I. A. Stegun, 1972: Handbook of Mathematical Functions: With Formulas, Graphs, and Mathematical Tables. 9th ed. Dover, 1046 pp.
2. Barnett, T., 1995: Monte Carlo climate forecasting. J. Climate, 8, 1005-1022.
3. Beven, K. J., and M. Kirkby, 1979: A physically-based, variable contributing area model of basin hydrology. Hydrol. Sci. Bull., 24, 43-69.
4. -, and A. Binley, 1992: The future of distributed models: Model calibration and uncertainty prediction. Hydrol. Proc., 6, 279-298.
5. Box, G. E. P., and G. C. Tiao, 1973: Bayesian Inference in Statistical Analysis. Addison-Wesley, 588 pp.
6. Bras, R. L., and I. Rodríguez-Iturbe, 1985: Random Functions and Hydrology. Addison-Wesley, 559 pp.
7. Caers, J. K., 2000: Adding local accuracy to direct sequential simulation. Math. Geol., 32, 815-850.
8. Carlin, B. P., and T. A. Louis, 2000: Bayes and Empirical Bayes Methods for Data Analysis. 2d ed. Chapman and Hall/CRC, 400 pp.
9. Chang, T. J., M. L. Kavvas, and J. W. Delleur, 1984: Daily precipitation modeling by discrete autoregressesive moving average processes. Water Resour. Res., 20, 565-580.
10. Chebaane, M., J. D. Salas, and D. C. Boes, 1995: Product periodic autoregressive processes for modeling intermittent monthly streamflows. Water Resour. Res., 31, 1513-1518.
11. Deutsch, C. V., and A. G. Journel, 1998: GSLIB: Geostatistical Software Library and User's Guide. 2d ed. Oxford University Press, 368 pp.
12. Entekhabi, D., and Coauthors, 1999: An agenda for land surface hydrology research and a call for the second international hydrological decade. Bull. Amer. Meteor. Soc., 80, 2043-2058.
13. Foufoula-Georgiou, E., and W. Krajewski, 1995: Recent advances in rainfall modeling, estimation, and forecasting. Reviews of Geophysics, U.S. National Report to International Union of Geodesy and Geophysics 1991-1994, American Geophysical Union, 1125-1137.
14. Gelman, A., J. B. Carlin, H. S. Stern, and D. B. Rubin, 1995: Bayesian Data Analysis. Chapman and Hall/CRC, 526 pp.
15. Journel, A. G., 1989: Short Course in Geology. Vol. 8, Fundamentals of Geostatistics in Five Lessons, American Geophysical Union, 40 pp.
16. -, 1999: Conditioning geostatistical operations to nonlinear volume averages. Math. Geol., 31, 931-953.
17. Katz, R. W., and M. B. Parlange, 1995: Generalizations of chain-dependent processes: Application to hourly precipitation. Water Resour. Res., 31, 1331-1341.
18. Kim, J., N. L. Miller, A. K. Guetter, and K. P. Georgakakos, 1998: River flow response to precipitation and snow budget in California during the 1994/95 winter. J. Climate, 11, 2376-2386.
19. -, -, J. D. Farrara, and S.-Y. Hong, 2000: A seasonal precipitation and stream flow hindcast and prediction study for the 1997/98 winter season using a dynamic downscaling system. J. Hydrometeor., 1, 311-329.
20. Kitanidis, P. K., 1986: Parameter uncertainty in estimation of spatial functions: Bayesian analysis. Water Resour. Res., 22, 499-507.
21. Krzysztofowicz, R., 1998: Probabilistic hydrometeorological forecasts: Toward a new era in operational forecasting. Bull. Amer. Meteor. Soc. 79, 243-251.
22. -, 1999: Bayesian theory for probabilistic forecasting via deterministic hydrologic model. Water Resour. Res., 35, 2739-2750.
23. Lettenmaier, D. P., 1994: Application of stochastic modeling in climate change impact assessment. Stochastic and Statistical Methods in Hydrology and Environmental Engineering, K. W. Hipel et al., Eds., Time Series Analysis in Hydrology and Environmental Engineering, Vol. 3, Kluwer Academic, 3-17.
24. Leung, L. R., M. S. Wigmosta, S. J. Ghan, D. J. Epstein, and L. W. Vail, 1996: Application of a subgrid orographic precipitation/ surface hydrology scheme to a mountain watershed. J. Geophys. Res., 101, 12803-12817.
25. -, A. F. Hamlet, D. P. Lettenmaier, and A. Kumar, 1999: Simulations of the ENSO hydroclimate signals in the Pacific Northwest Columbia River basin. Bull. Amer. Meteor. Soc., 80, 2313-2329.
26. Mardia, K. V., J. T. Kent, and J. M. Bibby, 1979: Multivariate Analysis. Academic Press, 518 pp.
27. Miller, N. L., and J. Kim, 1996: Numerical prediction of precipitation and river flow over the Russian River watershed during the January 1995 California storms. Bull. Amer. Meteor. Soc., 77, 101-105.
28. -, -, R. K. Hartman, and J. D. Farrara, 1999: Downscaled climate and streamflow study of the southwestern United States. J. Amer. Water Resour. Assoc., 35, 1525-1538.
29. Ripley, B., 1987: Stochastic Simulation. John Wiley and Sons, 256 pp.
30. Salas, J. D., 1993: Analysis and modeling of hydrologic time series. Handbook of Hydrology, D. R. Maidment, Ed., McGraw-Hill, 19.1-19.71.
31. Tanner, M. A., 1996: Tools for Statistical Inference: Methods for the Exploration of Posterior Distributions and Likelihood Functions. Springer-Verlag, 207 pp.
32. Valdés, J. B., I. Rodríguez-Iturbe, and G. J., Vicens, 1977: Bayesian generation of synthetic streamflows, 2: The multivariate case. Water Resour. Res., 13, 291-295.
33. Valencia, R. D., and J. C. Schaake, 1973: Dissaggregation processes in stochastic hydrology. Water Resour. Res., 9, 580-585.
34. Wilby, R. L., T. M. Wigley, D. Conway, P. D. Jones, B. C. Hewitson, J. Main, and D. S. Wilks, 1998: Statistical downscaling of general circulation model output: A comparison of methods. Water Resour. Res., 34, 2995-3008.
35. Wilks, D. S., 1992: Adapting stochastic weather generation algorithms for climate change studies. Climatic Change, 22, 67-84.
36. -, 1995: Statistical Methods in the Atmospheric Sciences. Academic Press, 467 pp.
37. Woolhiser, D. A., 1992: Modeling daily precipitation - progress and problems. Statistics in Environmental and Earth Sciences, A. T. Walden and P. Guttorp, Eds., Edward Arnold, 71-89.