Seasonal generalized exponential probability models with application to interstorm and storm durations

Water Resources Research

Volumn 34, Issue 1, 1998, Pages 143-148

  Lambert, Martin ^a   Kuczera, George ^b  

^a UNIVERSITY OF ADELAIDE   (Australia)

^b UNIVERSITY OF NEWCASTLE   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

PRECIPITATION ASSESSMENT; PROBABILITY; RAINFALL; STORM DURATION;

EID: 0031961933     PISSN: 00431397     EISSN: None     Source Type: Journal    
DOI: 10.1029/97WR02767     Document Type: Article

References (16)

1. Bickel, P. J., and Doksum, Mathematical statistics: Basic ideas and selected topics, Holden-Day, Merrifield, Va., 1977.
2. Box, G. E. P., and G. C. Tiao, Bayesian inference in statistical analysis, 588 pp., Addison-Wesley, Reading, Mass., 1973.
3. Cowpertwait, P. S. P., A generalized point process model for rainfall, Proc. R. Soc. A, 447, 23-37, 1994.
4. Duan, Q., S. Sorooshian, and V. Gupta, Effective and efficient global optimization for conceptual rainfall-runoff models, Water Resour. Res., 28(4), 1015-1031, 1992.
5. Eagleson, P., Climate, soil, and vegetation, 2, The distribution of annual precipitation derived from observed storm sequences, Water Resour. Res., 14(5), 713-721, 1978.
6. Entekhabi, D., I. Rodriguez-Iturbe, and P. Eagleson, Probabilistic representation of temporal rainfall process by a modified Neyman-Scott rectangular pulses model: Parameter estimation and validation, Water Resour. Res., 25(2), 295-302, 1989.
7. Ison, N. T., A. M. Feyerherm, and L. D. Bark, Wet period precipitation and the gamma distribution, J. Appl. Meteorol., 10(4), 658-661, 1971.
8. Lambert, M. F., and G. Kuczera, A statistical model of rainfall and temporal patterns, Stochastic Hydraulics '96, Proceedings of the 7th IAHR International Symposium, pp. 317-324, A. A. Balkema, Rotterdam, Netherlands, 1996.
9. North, M., Time-dependent stochastic model of floods, J. Hydraul. Div. Am. Soc. Civ. Eng., 106, 649-665, 1980.
10. Onof, C., and H. S. Wheater, Modelling of British rainfall using a Barlett-Lewis rectangular pulse model, J. Hydrol., 149, 67-95, 1993.
11. Onof, C., and H. S. Wheater, Improvements to the modelling of British rainfall using a modified random parameter Barlett-Lewis rectangular pulse model, J. Hydrol., 157, 177-195, 1994.
12. Press, W. H., B. P. Flannery, S. A. Teukolsky, and W. T. Vetterling, Numerical recipes: The art of scientific computing, Cambridge Univ. Press, New York, 1986.
13. Rodriguez-Iturbe, I., D. R. Cox, and V. Isham, Some models for rainfall based on stochastic point processes, Proc. R. Soc. London A, 410, 269-288, 1987.
14. Rodriguez-Iturbe, I., D. R. Cox, and V. Isham, A point process model for rainfall: Further developments, Proc. R. Soc. London A, 417, 283-298, 1988.
15. Todorovic, P., and V. Yevjevich, A particular stochastic process as applied to hydrology, paper presented at International Hydrology Symposium, Colo. State Univ., Fort Collins, 1967.
16. Velghe T., P. Troch, P. De Troch, and J. Van de Velde, Evaluation of cluster-based rectangular pulses point process models for rainfall, Water Resour. Res., 30(10), 2847-2857, 1994.