A computer program for temporal rainfall disaggregation using adjusting procedures (HYETOS)

D. Koutsoyiannis, 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, doi:10.13140/RG.2.2.33488.10243, European Geophysical Society, 2000.

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[English]

A simple and generic model that performs disaggregation of daily into hourly rainfall is presented. It combines an existing rainfall simulation model of the Poisson cluster type along with an appropriate technique for modifying the rainfall model output, thus performing disaggregation. Specifically, it uses the Bartlett-Lewis rectangular pulses rainfall model as a background stochastic model for rainfall generation. Repetition is first carried out to derive a synthetic rainfall series, which resembles the given series at the daily scale. This step focuses on the wet/dry pattern and the intensities separately. In a second step, an appropriate adjusting procedure - the proportional adjusting procedure - is applied to make the generated hourly series fully consistent with the given daily series without affecting the stochastic structure implied by the model. The model is implemented in a computer program, named Hyetos, with a user-friendly window-style interface, which provides the user with several options. The model was successfully applied with data sets of several regions, both with dry and wet climates.

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See also: http://www.itia.ntua.gr/e/softinfo/3

Our works that reference this work:

1. D. Koutsoyiannis, and C. Onof, Rainfall disaggregation using adjusting procedures on a Poisson cluster model, Journal of Hydrology, 246, 109–122, 2001.
2. D. Koutsoyiannis, 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. A. Efstratiadis, Simulation and optimization of the management of the water resource system of Athens, 28 pages, Department of Water Resources and Environmental Engineering – National Technical University of Athens, Athens, January 2012.
4. P. Kossieris, C. Makropoulos, C. Onof, and D. Koutsoyiannis, A rainfall disaggregation scheme for sub-hourly time scales: Coupling a Bartlett-Lewis based model with adjusting procedures, Journal of Hydrology, doi:10.1016/j.jhydrol.2016.07.015, 2016.

Other works that reference this work (this list might be obsolete):

1. 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, Stoch. Environmental Research and Risk Assessment, 19(6), 403-416, 2005.
2. 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.
3. 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.
4. #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.
5. #Sharma, A., and R. Mehrotra, Rainfall Generation, in Rainfall: State of the Science (eds F. Y. Testik and M. Gebremichael), American Geophysical Union, Washington, DC, 10.1029/2010GM000973, 2010.
6. Engida, A. N., and M. Esteves, Characterization and disaggregation of daily rainfall in the Upper Blue Nile Basin in Ethiopia, Journal of Hydrology, 399 (3-4), 226-234, 2011.
7. #Hanaish, I. S., K. Ibrahim and A. A. Jemain, Daily rainfall disaggregation using HYETOS model for Peninsular Malaysia, Recent Researches in Applied Mathematics, Simulation and Modelling, 5th International Conference on Applied Mathematics, Simulation, Modelling (ASM '11), ISBN: 978-1-61804-016-9, Corfu Island, Greece, 146-150, 2011.
8. Pui, A., A. Sharma, R. Mehrotra, B. Sivakumar and E. Jeremiah, A comparison of alternatives for daily to sub-daily rainfall disaggregation, Journal of Hydrology, 470–471, 138–157, 2012.
9. Abdellatif, M., W. Atherton and R. Alkhaddar, Application of the stochastic model for temporal rainfall disaggregation for hydrological studies in north western England, Journal of Hydroinformatics, 15 (2), 555-567, 2013.
10. Yusop, Z., H. Nasir and F. Yusof, Disaggregation of daily rainfall data using Bartlett Lewis Rectangular Pulse model: a case study in central Peninsular Malaysia, Environmental Earth Sciences, 71 (8), 3627-3640, 2014.
11. Abdellatif, M., W. Atherton, R. M. Alkhaddar and Y. Z. Osman, Quantitative assessment of sewer overflow performance with climate change in North West of England, Hydrological Sciences Journal, 10.1080/02626667.2014.912755, 2014.
12. Villani, V., D. Di Serafino, G., Rianna, and P. Mercogliano, Stochastic models for the disaggregation of precipitation time series on sub-daily scale: identification of parameters by global optimization, CMCC Research Paper, RP0256, 2015.

Tagged under: Stochastic disaggregation, Rainfall models, Stochastics