Articles | Volume 23, issue 2
https://doi.org/10.5194/hess-23-989-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-23-989-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
19 Feb 2019
Research article |
| 19 Feb 2019
| 19 Feb 2019
A hybrid stochastic rainfall model that reproduces some important rainfall characteristics at hourly to yearly timescales
Jeongha Park
Department of Civil Engineering, Hongik University, Seoul, 04066,
Republic of Korea
Christian Onof
Department of Civil and Environmental
Engineering, Imperial College, London, SW7 2AZ, UK
Department of Civil Engineering, Hongik University, Seoul, 04066,
Republic of Korea
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- Analyzing and Assessing Dynamic Behavior of a Physical Supply and Demand System for Sustainable Water Management under a Semi-Arid Environment A. Mashaly & A. Fernald 10.3390/w14121939
- NEOPRENE v1.0.1: a Python library for generating spatial rainfall based on the Neyman–Scott process J. Diez-Sierra et al. 10.5194/gmd-16-5035-2023
- Robust optimisation of combined rainwater harvesting and flood mitigation systems Q. Soh et al. 10.1016/j.watres.2023.120532
- Evaluating flash flood simulation capability with respect to rainfall temporal variability in a small mountainous catchment X. Wang et al. 10.1007/s11442-023-2188-5
- Modelling rainfall with a Bartlett–Lewis process: pyBL (v1.0.0), a Python software package and an application with short records C. Wei et al. 10.5194/gmd-18-1357-2025
- Assessing Spatial Flood Risk from Multiple Flood Sources in a Small River Basin: A Method Based on Multivariate Design Rainfall X. Jiang et al. 10.3390/w11051031
- A stochastic rainfall model that can reproduce important rainfall properties across the timescales from several minutes to a decade D. Kim & C. Onof 10.1016/j.jhydrol.2020.125150
- Context-Specific Selection of Poisson cluster rainfall models for accurate urban hydrological simulations T. Lian et al. 10.1016/j.jhydrol.2024.132637
- Modelling rainfall with a Bartlett–Lewis process: new developments C. Onof & L. Wang 10.5194/hess-24-2791-2020
- Precipitation forecasting in Marmara region of Turkey V. Coban et al. 10.1007/s12517-020-06363-x
- A Global-Scale Investigation of Stochastic Similarities in Marginal Distribution and Dependence Structure of Key Hydrological-Cycle Processes P. Dimitriadis et al. 10.3390/hydrology8020059
- Frequency analysis of storm-scale soil erosion and characterization of extreme erosive events by linking the DWEPP model and a stochastic rainfall generator Y. Shmilovitz et al. 10.1016/j.scitotenv.2021.147609
- Coupling of satellite-derived precipitation products with Bartlett-Lewis model to estimate intensity-frequency-duration curves for remote areas M. Islam et al. 10.1016/j.jhydrol.2022.127743
- Can we estimate flood frequency with point-process spatial-temporal rainfall models? Y. Chen et al. 10.1016/j.jhydrol.2021.126667
- Rainfall erosivity and erosivity density through rainfall synthetic series for São Paulo State, Brazil: Assessment, regionalization and modeling D. Teixeira et al. 10.1016/j.iswcr.2021.10.002
- Time Decomposition and Short-Term Forecasting of Hydrometeorological Conditions in the South Baltic Coastal Zone of Poland J. Tylkowski & M. Hojan 10.3390/geosciences9020068
17 citations as recorded by crossref.
- Future multivariate weather generation by combining Bartlett-Lewis and vine copula models J. Van de Velde et al. 10.1080/02626667.2022.2144322
- A simple scheme to adjust Poisson cluster rectangular pulse rainfall models for improved performance at sub-hourly timescales J. Park et al. 10.1016/j.jhydrol.2021.126296
- Analyzing and Assessing Dynamic Behavior of a Physical Supply and Demand System for Sustainable Water Management under a Semi-Arid Environment A. Mashaly & A. Fernald 10.3390/w14121939
- NEOPRENE v1.0.1: a Python library for generating spatial rainfall based on the Neyman–Scott process J. Diez-Sierra et al. 10.5194/gmd-16-5035-2023
- Robust optimisation of combined rainwater harvesting and flood mitigation systems Q. Soh et al. 10.1016/j.watres.2023.120532
- Evaluating flash flood simulation capability with respect to rainfall temporal variability in a small mountainous catchment X. Wang et al. 10.1007/s11442-023-2188-5
- Modelling rainfall with a Bartlett–Lewis process: pyBL (v1.0.0), a Python software package and an application with short records C. Wei et al. 10.5194/gmd-18-1357-2025
- Assessing Spatial Flood Risk from Multiple Flood Sources in a Small River Basin: A Method Based on Multivariate Design Rainfall X. Jiang et al. 10.3390/w11051031
- A stochastic rainfall model that can reproduce important rainfall properties across the timescales from several minutes to a decade D. Kim & C. Onof 10.1016/j.jhydrol.2020.125150
- Context-Specific Selection of Poisson cluster rainfall models for accurate urban hydrological simulations T. Lian et al. 10.1016/j.jhydrol.2024.132637
- Modelling rainfall with a Bartlett–Lewis process: new developments C. Onof & L. Wang 10.5194/hess-24-2791-2020
- Precipitation forecasting in Marmara region of Turkey V. Coban et al. 10.1007/s12517-020-06363-x
- A Global-Scale Investigation of Stochastic Similarities in Marginal Distribution and Dependence Structure of Key Hydrological-Cycle Processes P. Dimitriadis et al. 10.3390/hydrology8020059
- Frequency analysis of storm-scale soil erosion and characterization of extreme erosive events by linking the DWEPP model and a stochastic rainfall generator Y. Shmilovitz et al. 10.1016/j.scitotenv.2021.147609
- Coupling of satellite-derived precipitation products with Bartlett-Lewis model to estimate intensity-frequency-duration curves for remote areas M. Islam et al. 10.1016/j.jhydrol.2022.127743
- Can we estimate flood frequency with point-process spatial-temporal rainfall models? Y. Chen et al. 10.1016/j.jhydrol.2021.126667
- Rainfall erosivity and erosivity density through rainfall synthetic series for São Paulo State, Brazil: Assessment, regionalization and modeling D. Teixeira et al. 10.1016/j.iswcr.2021.10.002
Discussed (final revised paper)
Latest update: 22 Apr 2025
Short summary
Rainfall data are often unavailable for the analysis of water-related problems such as floods and droughts. In such cases, researchers use rainfall generators to produce synthetic rainfall data. However, data from most rainfall generators can serve only one specific purpose; i.e. one rainfall generator cannot be applied to analyse both floods and droughts. To overcome this issue, we invented a multipurpose rainfall generator that can be applied to analyse most water-related problems.
Rainfall data are often unavailable for the analysis of water-related problems such as floods...
