Navigation

Rainfall disaggregation using adjusting procedures on a Poisson cluster model

Koutsoyiannis, D., and C. Onof, Rainfall disaggregation using adjusting procedures on a Poisson cluster model, Journal of Hydrology, 246, 109–122, 2001.

[doc_id=368]

[English]

A disaggregation methodology for the generation of hourly data that aggregate up to given daily totals is developed. This combines a rainfall simulation model based upon the Bartlett-Lewis process with proven techniques developed for the purpose of adjusting the finer scale (hourly) values so as to obtain the required coarser scale (daily) values. The methodology directly answers the question of the possible extension of the short hourly time-series with the use of longer-term daily data at the same point and provides the theoretical basis for an operational use of this methodology when no hourly data are available. The algorithm has been validated in full test mode in the case where hourly data are available. Specifically, two case studies (from the UK and US) are examined whose results indicate a good performance of the methodology in preserving the most important statistical properties of the rainfall process.

Full text is only available to the NTUA network due to copyright restrictions

See also: http://dx.doi.org/10.1016/S0022-1694(01)00363-8

Our works referenced by this work:

1. Koutsoyiannis, D., and Th. Xanthopoulos, A dynamic model for short-scale rainfall disaggregation, Hydrological Sciences Journal, 35 (3), 303–322, 1990.
2. Koutsoyiannis, D., A stochastic disaggregation method for design storm and flood synthesis, Journal of Hydrology, 156, 193–225, 1994.
3. Koutsoyiannis, D., and A. Manetas, Simple disaggregation by accurate adjusting procedures, Water Resources Research, 32 (7), 2105–2117, 1996.
4. Zarris, D., D. Koutsoyiannis, and G. Karavokiros, A simple stochastic rainfall disaggregation scheme for urban drainage modelling, Proceedings of the 4th International Conference on Developments in Urban Drainage Modelling, edited by D. Butler and C. Maksimovic, London, 85–92, International Association of Water Quality, International Association of Hydraulic Research, UNESCO, Imperial College, London, 1998.
5. Koutsoyiannis, D., and C. Onof, A computer program for temporal rainfall disaggregation using adjusting procedures (HYETOS), 25th General Assembly of the European Geophysical Society, Geophysical Research Abstracts, Vol. 2, Nice, European Geophysical Society, 2000.
6. Koutsoyiannis, D., Coupling stochastic models of different time scales, Water Resources Research, 37 (2), 379–392, 2001.

Our works that reference this work:

1. Koutsoyiannis, D., and N. Mamassis, On the representation of hyetograph characteristics by stochastic rainfall models, Journal of Hydrology, 251, 65–87, 2001.
2. Koutsoyiannis, D., C. Onof, and H. S. Wheater, Multivariate rainfall disaggregation at a fine timescale, Water Resources Research, 39 (7), 1173, doi:10.1029/2002WR001600, 2003.
3. Koutsoyiannis, D., An entropic-stochastic representation of rainfall intermittency: The origin of clustering and persistence, Water Resources Research, 42 (1), W01401, doi:10.1029/2005WR004175, 2006.

Other works that reference this work:

1. Ramos, M.H., Rainfall disaggregation, Houille Blanche-Revue Internationale de L'Eau, (6), 123-128, 2003.
2. Clark, S., S. Burian, R. Pitt and R. Field, Urban wet-weather flows, Water Environment Research, 75(5), 1133-1192, 2003.
3. Kandel, D.D., A.W. Western, R.B. Grayson and H.N. Turra, Process parameterization and temporal scaling in surface runoff and erosion modelling, Hydrological Processs, 18 (8), 1423-1446, 2004.
4. #Maskey, S., Modelling Uncertainty in Flood Forecasting Systems, Taylor Francis, 180 pp., 2004.
5. Paulson, K.S., Fractal interpolation of rain rate time series, Journal of Geophysical Research-Atmospheres, 109 (D22), D22102, 2004.
6. Gyasi-Agyei, Y., Stochastic disaggregation of daily rainfall into one-hour time scale, Journal of Hydrology, 309, 178-190, 2005.
7. Wheater, H.S., R.E. Chandler, C.J. Onof, V.S. Isham, E. Bellone, C. Yang, D. Lekkas, G. Lourmas & M.L. Segond, Spatial-temporal rainfall modelling for flood risk estimation, Stochastic Environmental Research & Risk Assessment, 19(6), 403-416, 2005.
8. Elshamy, M.E., H.S. Wheater, N. Gedney and C. Huntingford, Evaluation of the rainfall component of a weather generator for climate impact studies, Journal of Hydrology, 326(1-4), 1-24, 2006.
9. Cowpertwait, P.S.P., T. Lockie and M.D. Davies, A stochastic spatial-temporal disaggregation model for rainfall, Journal of Hydrology New Zealand, 45(1), 1-12, 2006.
10. Segond, M.-L., C. Onof and H.S. Wheater, Spatial-temporal disaggregation of daily rainfall from a generalized linear model, Journal of Hydrology, 331(3-4), 674-689, 2006.
11. Wu, S.-J., Y.-K. Tung and J.-C. Yang, Stochastic generation of hourly rainstorm events, Stochastic Environmental Research and Risk Assessment, 21(2), 195-212, 2006.
12. Deidda, R., G. Mascaro, E. Piga and G. Querzoli, An automatic system for rainfall signal recognition from tipping bucket gage strip charts, Journal of Hydrology, 333(2-4), 400-412, 2007.
13. Debele, B., R. Srinivasan and J. Yves Parlange, Accuracy evaluation of weather data generation and disaggregation methods at finer timescales, Advances in Water Resources, 30(5), 1286-1300, 2007.
14. Gaume, E., N. Mouhous and H. Andrieu, Rainfall stochastic disaggregation models: Calibration and validation of a multiplicative cascade model, Advances in Water Resources, 30(5), 1301-1319, 2007.
15. Segond, M.-L., N. Neokleous, C. Makropoulos, C. Onof and C. Maksimovic, Simulation and spatio-temporal disaggregation of multi-site rainfall data for urban drainage applications, Hydrological Sciences Journal, 52(5), 917-935, 2007.
16. Marani, M. and S. Zanetti, Downscaling rainfall temporal variability, Water Resources Research, 43(9), Art. No. W09415, 2007.
17. Wang, Q.J., and R.J. Nathan, A method for coupling daily and monthly time scales in stochastic generation of rainfall series, Journal of Hydrology, 346(3-4), 122-130, 2007.
18. Gyasi-Agyei, Y., and S.M.P.B. Mahbub, A stochastic model for daily rainfall disaggregation into fine time scale for a large region, Journal of Hydrology, 347(3-4), 358-370, 2007.
19. Choi, J., S.A. Socolofsky and F. Olivera, Hourly disaggregation of daily rainfall in Texas using measured hourly precipitation at other locations, Journal of Hydrologic Engineering, 13(6), 476-487, 2008.
20. Knoesen, D.M., and J.C. Smithers, The development and assessment of a regionalised daily rainfall disaggregation model for South Africa, Water SA, 34 (3), 323-330, 2008.
21. Zhang, J., R.R. Murch, M.A. Ross, A.R. Ganguly and M. Nachabe, Evaluation of statistical rainfall disaggregation methods using rain-gauge information for West-Central Florida, Journal of Hydrologic Engineering, 13 (12), 1158-1169, 2008.
22. Kim, B.-S., B.-K. Kim, M.-S. Kyung and H.-S. Kim, Impact Assessment of Climate Change on Extreme Rainfall and I-D-F Analysis, Journal of Korea Water Resources Association, 41 (4), 379-394, 2008.
23. Kyoung, M.-S., B. Sivakumar, H.-S. Kim and B.-S. Kim, Chaotic Disaggregation of Daily Rainfall Time Series, Journal of Korea Water Resources Association, 41 (9), 959-967, 2008.
24. Barillec, R., and D. Cornford, Data assimilation for precipitation nowcasting using Bayesian inference, Advances in Water Resources, 32(7), 1050-1065, 2009.
25. Debele, B., R. Srinivasan and J.Y. Parlange, Hourly analyses of hydrological and water quality simulations using the ESWAT model, Water Resources Management, 23 (2), 303-324, 2009.
26. Onof, C., and K. Arnbjerg-Nielsen, Quantification of anticipated future changes in high resolution design rainfall for urban areas, Atmospheric Research, 92 (3), 350-363, 2009.
27. Knoesen, D., and J. Smithers, The development and assessment of a daily rainfall disaggregation model for South Africa, Hydrological Sciences Journal, 54(2), 217-233, 2009.
28. Rupp, D. E., R. F. Keim, M. Ossiander, M. Brugnach and J. S. Selker, Time scale and intensity dependency in multiplicative cascades for temporal rainfall disaggregation, Water Resources Research, 45, W07409, doi:10.1029/2008WR007321, 2009.
29. Nijssen, D., A. Schumann, M. Pahlow and B. Klein, Planning of technical flood retention measures in large river basins under consideration of imprecise probabilities of multivariate hydrological loads, Nat. Hazards Earth Syst. Sci., 9, 1349-1363, 2009.
30. #Pui, A., A. Sharma and R. Mehrotra, A comparison of alternatives for daily to sub-daily rainfall disaggregation, 18th World IMACS / MODSIM Congress, 3535-3541, Cairns, Australia, 2009.
31. Wu, S. J., Y. K. Tung, and J. C. Yang, Incorporating daily rainfall to derive at-site hourly depth-duration-frequency relationships, Journal of Hydrologic Engineering, 14 (9), 992-1001, 2009.
32. Mezghani, A., and B. Hingray, A combined downscaling-disaggregation weather generator for stochastic generation of multisite hourly weather variables over complex terrain: Development and multi-scale validation for the Upper Rhone River basin, Journal of Hydrology, 377 (3-4), 245-260, 2009.
33. Laloy, E, and C. L.Bielders, Modelling intercrop management impact on runoff and erosion in a continuous maize cropping system: Part II. Model Pareto multi-objective calibration and long-term scenario analysis using disaggregated rainfall, European Journal of Soil Science, 60 (6), 1022-1037, 2009.

Tagged under: Stochastic disaggregation, Rainfall models, Stochastics