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A simple scheme to adjust Poisson cluster rectangular pulse rainfall models for improved performance at sub-hourly timescales
2021, Journal of HydrologyCitation Excerpt :Since the fundamental structure was formalized in the late 1980s by Rodriguez-Iturbe et al. (1987); (1988;), developments of the Poisson cluster model have focused on improving the estimation of key summary statistics such as auto-correlation or proportion of dry periods (Rodriguez-Iturbe et al., 1988); improving the simulation of convective and stratiform events (Cowpertwait, 1994, Onof and Wang, 2020); reproducing long- and short-term rainfall persistence (Kim et al., 2013a; Park et al., 2019; Kim and Onof, 2020); extending the temporal to a spatial–temporal model (Cowpertwait, 1995; Northrop, 1998; Burton et al., 2008); regionalizing the parameters (Kim et al., 2013a; 2016); and extending the model to represent for the non-stationarity of the precipitation process (Burton et al., 2010; Evin and Favre, 2013; and Kaczmarska et al., 2015). A longstanding limitation of the Poisson cluster rainfall models has been their tendency to underestimate rainfall extremes at fine (e.g. sub-hourly) temporal scales (Cowpertwait et al., 1996; Verhoest et al., 1997; Cameron et al., 2000c; Onof et al., 2000; Kaczmarska et al., 2014; Cross et al., 2018). Cowpertwait (1998) included the third central moment in the fitting statistics to better capture the skewness of the rainfall intensity.
Simulating sub-hourly rainfall data for current and future periods using two statistical disaggregation models: case studies from Germany and South Korea
2024, Hydrology and Earth System SciencesUnderstanding hydrologic controls of sloping soil response to precipitation through machine learning analysis applied to synthetic data
2023, Hydrology and Earth System SciencesNEOPRENE v1.0.1: A Python library for generating spatial rainfall based on the Neyman-Scott process
2023, Geoscientific Model DevelopmentBayesian parameter inference in hydrological modelling using a Hamiltonian Monte Carlo approach with a stochastic rain model
2023, Hydrology and Earth System SciencesRain process models and convergence to point processes
2023, Nonlinear Processes in Geophysics
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Present address: National Rivers Authority, Northumbria Region, Newcastle upon Tyne NE1 7RU, UK.