Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Paul S. P. Cowpertwait"'
Publikováno v:
Hydrology and Earth System Sciences, Vol 17, Iss 2, Pp 479-494 (2013)
CIC Digital (CICBA)
Comisión de Investigaciones Científicas de la Provincia de Buenos Aires
instacron:CICBA
CIC Digital (CICBA)
Comisión de Investigaciones Científicas de la Provincia de Buenos Aires
instacron:CICBA
A spatial-temporal point process model of rainfall is fitted to data taken from three homogeneous regions in the Basque Country, Spain. The model is the superposition of two spatial-temporal Neyman-Scott processes, in which rain cells are modelled as
Publikováno v:
Hydrological Sciences Journal. 56:1110-1117
A cluster point process model is considered for the analysis of fine-scale rainfall time series. The model is based on three Poisson processes. The first is a Poisson process of storm origins, where each storm has a random (exponential) lifetime. The
Publikováno v:
Environmental Modelling & Software. 23:1356-1369
RainSim V3 is a robust and well tested stochastic rainfall field generator used successfully in a broad range of climates and end-user applications. Rainfall fields or multi-site time series can be sampled from a spatial-temporal Neyman-Scott rectang
Publikováno v:
Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences. 463:2569-2587
A conceptual stochastic model of rainfall is proposed in which storm origins occur in a Poisson process, where each storm has a random lifetime during which rain cell origins occur in a secondary Poisson process. In addition, each cell has a random l
Autor:
Paul S. P. Cowpertwait
Publikováno v:
Hydrology and Earth System Sciences. 8:993-1000
A stochastic rainfall model, obtained as the superposition of independent Neyman-Scott Rectangular Pulses (NSRP), is proposed to provide a flexible parameterisation and general procedure for modelling rainfall. The methodology is illustrated using ho
Publikováno v:
International Journal of Climatology. 18:523-539
Regression models are developed to predict point rainfall statistics, with potential application to downscaling general circulation model (GCM) output for future climates. The models can be used to predict the mean daily rainfall amount and the propo
Autor:
Paul S. P. Cowpertwait
Publikováno v:
Proceedings of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences. 454:885-898
A conceptual stochastic model for rainfall, based on a Poisson-cluster process with rectangular pulses representing rain cells, is further developed. A method for deriving high-order moments is applied to obtain the third-moment function for the mode
Autor:
Paul S. P. Cowpertwait, P.E. O'Connell
Publikováno v:
Hydrology and Earth System Sciences. 1:71-80
A single-site Neyman-Scott Poisson cluster model of rainfall, with convective and stratiform cells, is fitted to data for 112 sites scattered throughout the UK using harmonic variables to account for seasonality. The model is regionalised by regressi
Publikováno v:
Journal of Hydrology. 175:17-46
A Newman-Scott clustered point process model for rainfall is developed for use in storm sewer rehabilitation studies in the UK, where predictions are needed of the frequency of system overloading for existing and upgraded conditions. In the first par
Publikováno v:
Journal of Hydrology. 175:47-65
The Neyman-Scott Rectangular Pulses rainfall model is fitted to daily and hourly data taken from 112 sites scattered throughout the UK. The model is regionalised by regressing estimates of the model parameters on harmonic and site variables. This all