Rainfall nowcasting by at site stochastic model P.R.A.I.S.E

Hydrology and Earth System Sciences

Volumn 11, Issue 4, 2007, Pages 1341-1351

  Sirangelo, B ^a   Versace, P ^a   De Luca, D L ^a  

^a UNIVERSITY OF CALABRIA   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

MODEL TEST; MODEL VALIDATION; NOWCASTING; PERFORMANCE ASSESSMENT; PRECIPITATION INTENSITY; PROBABILITY DENSITY FUNCTION; STOCHASTICITY;

CALABRIA; EURASIA; EUROPE; ITALY; SOUTHERN EUROPE;

EID: 34248631958     PISSN: 10275606     EISSN: 16077938     Source Type: Journal    
DOI: 10.5194/hess-11-1341-2007     Document Type: Article

References (29)

1. Abramowitz, M. and Stegun, I. A.: Handbook of mathematical functions, Dover, New York, NY, 1970.
2. Box, G. E. P. and Jenkins, G. M.: Time series analysis: forecasting and control, Holden-Day, S.Francisco, 1976.
3. Brockwell, P. J. and Davis, R. A.: Time Series. Theory and Methods, Springer Verlag, New York, NY, 1987.
4. Burlando, P., Rosso, R., Cadavid, L. G., and Salas, J. D.: Forecasting of short-term rainfall using ARMA models, J. Hydrol., 144, 193-211, 1993.
5. Burlando, P., Montanari, A., and Ranzi, R.: Forecasting of storm rainfall by combined use of radar, rain gages and linear models, Atmos. Res., 42, 199-216, 1996.
6. Calenda, G. and Napolitano, F.: Parameter estimation of Neyman-Scott processes for temporal point rainfall simulation, J. Hydrol., 225, 45-66, 1999.
7. Chuang, Hui-Ya, and Sousounis, P. J.: A technique for generating idealized initial and boundary conditions for the PSU-NCAR Model MM5, Mon. Wea. Rev., 128, 2875-2882, 2000.
8. Cowpertwait, P. S. P., O'Connell, P. E., Metcalfe, A. V., and Mawdsley, J. A.: Stochastic point process modelling of rainfall. I. Single site fitting and validation, J. Hydrol., 175, 17-46, 1996.
9. Cowpertwait, P. S. P.: Mixed rectangular pulses models of rainfall, Hydrol. Earth Syst. Sci., 8, 993-1000, 2004, http://www.hydrol-earth-syst-sci. net/8/993/2004/.
10. De Luca, D. L.: Metodi di previsione dei campi di pioggia. Tesi di Dottorato di Ricerca, Università della Calabria, Italy, 2005.
11. Foufoula-Georgiou, E. and Georgakakos, K. P.: Recent advances in space-time precipitation modelling and forecasting, Recent Advances in the Modelling of Hydrologic Systems, NATO ASI Ser., 1988.
12. Georgakakos, K. P. and Kavvas, M. L.: Precipitation analysis, modeling and prediction in hydrology, Rev. Geophys., 25(2), 163-178, 1987.
13. Hipel, K. W. and McLeod, A. I.: Time series Modeling of Water Resources and Environmental Systems, Elsevier Science, 1994.
14. Kavvas, M. L. and Delleur, J. W.: A stochastic cluster model of daily rainfall sequences, Water Resour. Res., 17(4), 1151-1160, 1981.
15. Kendall, M. G. and Stuart, A.: The advanced Theory of Statistics, Griffin, London, 1969.
16. Kotz, S., Balakrishanan, N., and Johnson, N. L.: Continuous Multivariate Distributions - Models And Applications, Wiley, New York, NY, 2000.
17. Lewis, P. A. W.: Stochastic Point Processes, Wiley, New York, NY, 1964.
18. Montanari, A. and Brath, A.: Maximum likelihood estimation for the seasonal Neyman-Scott rectangular pulses model for rainfall, Proc. of the EGS Plinius Conference, 297-309, Maratea, Italy, 1999.
19. Palmer, T. N., Brankovic, C., Buizza, R., Chessa, P., Ferranti, L., Hoskins, B. J., and Simmons, A. J.: A review of predictability and ECMWF forecast performance, with emphasis on Europe, ECMWF Research Department Technical Memorandum n. 326, ECMWF, Shinfield Park, Reading RG2-9AX, UK, 2000.
20. Press, W. H., Flannery, B. P., Teukolsky, S. A., and Vetterling, W. T.: Numerical Recipes in C. The art of scientific computing, Cambrige University Press, 1988.
21. Rodriguez-Iturbe, I., Gupta, V. K., and Waymire, E.: Scale consideration in modelling of temporal rainfall, Water Resour. Res., 20(11), 1611-1619, 1984.
22. Rodriguez-Iturbe, I.: Scale of fluctuation of rainfall models, Water Resour. Res., 22(9), 15S-37S, 1986.
23. Rodriguez-Iturbe, I., Cox, D. R., and Isham, V.: Some models for rainfall based on stochastic point processes, Proc. Royal Soc. London, A, 410, 269-288, 1987.
24. Salas, J. D., Delleur, J. W., Yevjevich, V., and Lane, W. L.: Applied modelling of hydrologic time series, Water Resources Publications, Littleton, CO, 1980.
25. Sirangelo, B. and Iiritano, G.: Some aspects of the rainfall analysis through stochastic models, Excerpta, 11, 223-258, 1997.
26. Smith, J. A. and Karr, A. F.: A point process model of summer season rainfall occurrences, Water Resour. Res., 19(1), 95-103, 1983.
27. Toth, E., Brath, A., and Montanari, A.: Comparison of short-term rainfall prediction models for real-time flood forecasting, J. Hydrol., 239(1), 132-147, 2000.
28. Untch, A., Miller, M., Hortal, M., Buizza, R., and Janssen, P.: Towards a global meso-scale model: the high-resolution system TL799L91 & TL399L62EPS, Newslettern. 108, ECMWF, Shinfield Park, Reading RG2-9A, UK, 2006.
29. Waymire, E. and Gupta, V. K.: The mathematical structure of rainfall representations, 1. A review of the stochastic rainfall models, Water Resour. Res., 17(5), 1261-1272, 1981.