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A dynamic model for short-scale rainfall disaggregation

Koutsoyiannis, D., and Th. Xanthopoulos, A dynamic model for short-scale rainfall disaggregation, Hydrological Sciences Journal, 35 (3), 303–322, 1990.

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[English]

The single-site dynamic disaggregation model developed and presented in this paper is a generalized step-by-step approach to stochastic disaggregation problems. The forms studied concern low-level variables with Markovian structure and normal or gamma marginal distributions. Combined with a rainfall model, the disaggregation scheme gives a rainfall generator, transforming monthly rainfall into events and hourly amounts. A particular application of the generator, based on historical data, is used to illustrate and test the model.

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Our works referenced by this work:

1. Koutsoyiannis, D., A disaggregation model of point rainfall, PhD thesis, 310 pages, National Technical University of Athens, Athens, 1988.

Our works that reference this work:

1. Koutsoyiannis, D., A nonlinear disaggregation method with a reduced parameter set for simulation of hydrologic series, Water Resources Research, 28 (12), 3175–3191, 1992.
2. Nalbantis, I., D. Koutsoyiannis, and Th. Xanthopoulos, Modelling the Athens water supply system, Water Resources Management, 6, 57–67, 1992.
3. Koutsoyiannis, D., A stochastic disaggregation method for design storm and flood synthesis, Journal of Hydrology, 156, 193–225, 1994.
4. Koutsoyiannis, D., and A. Manetas, Simple disaggregation by accurate adjusting procedures, Water Resources Research, 32 (7), 2105–2117, 1996.
5. Koutsoyiannis, D., and C. Onof, Rainfall disaggregation using adjusting procedures on a Poisson cluster model, Journal of Hydrology, 246, 109–122, 2001.
6. Koutsoyiannis, D., and N. Mamassis, On the representation of hyetograph characteristics by stochastic rainfall models, Journal of Hydrology, 251, 65–87, 2001.
7. 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.
8. Langousis, A., and D. Koutsoyiannis, A stochastic methodology for generation of seasonal time series reproducing overyear scaling behaviour, Journal of Hydrology, 322, 138–154, 2006.

Other works that reference this work:

1. Glasbey, C.A., G. Cooper, and M.B. McGechan, Disaggregation of daily rainfall by conditional simulation from a point-process model, Journal of Hydrology, 165(1-4), 1-9, 1995
2. McGechan, M.B., and G. Cooper, A simulation-model operating with daily weather data to explore silage and haymaking opportunities in climatically different areas of Scotland, Agricultural Systems, 48(3), 315-343, 1995.
3. Khaliq, M.N., and C. Cunnane, Modelling point rainfall occurrences with the Modified Bartlett- Lewis Rectangular Pulses Model, Journal of Hydrology, 180(1-4), 109-138, 1996.
4. Connoly, R.D., J. Schirmer and P. K. Dunn, A daily rainfall disaggregation model, Agricultural and Forest Meteorology, 92(2), 105-117, 1998.
5. Heneker, T.H., M.F. Lambert and G. Kuczera, A point rainfall model for risk-based design, Journal of Hydrology, 247, 54-71, 2001.
6. Back, Á. J., R. Dorfman and R. Clarke, Modelagem da precipitação horária por meio do modelo de pulsos retangulares de Bartlett-Lewis modificado (Modelling hourly rainfall with modified Bartlett-Lewis model), Revista Brasileira de Recursos Hídricos, 4 (1), 5-17, 1999.
7. Burian, S.J., S.R. Durrans, S.J. Nix and R.E. Pitt, Training artificial neural networks to perform rainfall disaggregation, Journal of Hydrologic Engineering-ASCE, 6(1), 43-51, 2001.
8. Stehlik, J., and A. Bardossy, Multivariate stochastic downscaling model for generating daily precipitation series based on atmospheric circulation, Journal of Hydrology, 256(1-2), 120-141, 2002.
9. #Wending, I., and W. James, Two neural networks for generation of high-resolution long-term storm rainfall compared to Ormsbee's method - Case study for Toronto, Global Solutions for Urban Drainage, 1-15, 2002.
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13. Damé, R.D.C.F., C.F.A. Teixeira, and V.S.S.Terra, Comparison of different methodologies to estimate intensity-duration- frequency curves for Pelotas - RS, Brazil, Engenharia Agricola, 28 (2), 245-255, 2008.
14. 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.
15. Andrés-Doménech, I., A. Montanari and J. B. Marco, Stochastic rainfall analysis for storm tank performance evaluation, Hydrol. Earth Syst. Sci. Discuss., 7, 1849-1881, 2010.

Tagged under: Stochastic disaggregation, Rainfall models, Stochastics