A modified random pulse Bartlett–Lewis stochastic rainfall model is used for extreme rainfall simulation. The model features the use of a generalised pareto distribution (GPD) to represent the depths of high intensity raincells. A point rainfall record, obtained from a UK site is used to test the model. Parameter estimation is carried out using a two-stage approach based on the generalised likelihood uncertainty estimation (GLUE) methodology. This procedure acknowledges the limited sample of the extreme rainfall data in the observed record in conditioning individual realisations of the random storm model. The extreme rainfall simulations produced using the model are shown to compare favourably with the site's observed series seasonal maxima...
AbstractMany probability distributions have been developed to model the extreme rainfall processes. ...
The Multiplicative Discrete Random Cascade (MDRC) class of model is used to temporally disaggregate ...
The Multiplicative Discrete Random Cascade (MDRC) class of model is used to temporally disaggregate ...
A modified random pulse Bartlett–Lewis stochastic rainfall model is used for extreme rainfall simula...
Urbanization and climate change encourage water managers to improve their ability to predict possibl...
Reliable estimation of rainfall extremes is essential for drainage system design, flood mitigation, ...
International audienceThe hourly rainfall stochastic model SHYPRE generates long hourly rainfall ser...
Anthropogenic climate change is unequivocal, with serious implications for society. Decades of atmos...
Three stochastic rainfall models are evaluated in terms of their ability to reproduce the standard a...
Three stochastic rainfall models are evaluated in terms of their ability to reproduce the standard a...
The point rainfall model presented extends previous work on event-based rainfall models and overcome...
The point rainfall model presented extends previous work on event-based rainfall models and overcome...
AbstractIf risk-based criteria are used in the design of high hazard structures (such as dam spillwa...
If risk-based criteria are used in the design of high hazard structures (such as dam spillways and n...
Reliable estimation of rainfall extremes is essential for drainage system design, flood mitigation,...
AbstractMany probability distributions have been developed to model the extreme rainfall processes. ...
The Multiplicative Discrete Random Cascade (MDRC) class of model is used to temporally disaggregate ...
The Multiplicative Discrete Random Cascade (MDRC) class of model is used to temporally disaggregate ...
A modified random pulse Bartlett–Lewis stochastic rainfall model is used for extreme rainfall simula...
Urbanization and climate change encourage water managers to improve their ability to predict possibl...
Reliable estimation of rainfall extremes is essential for drainage system design, flood mitigation, ...
International audienceThe hourly rainfall stochastic model SHYPRE generates long hourly rainfall ser...
Anthropogenic climate change is unequivocal, with serious implications for society. Decades of atmos...
Three stochastic rainfall models are evaluated in terms of their ability to reproduce the standard a...
Three stochastic rainfall models are evaluated in terms of their ability to reproduce the standard a...
The point rainfall model presented extends previous work on event-based rainfall models and overcome...
The point rainfall model presented extends previous work on event-based rainfall models and overcome...
AbstractIf risk-based criteria are used in the design of high hazard structures (such as dam spillwa...
If risk-based criteria are used in the design of high hazard structures (such as dam spillways and n...
Reliable estimation of rainfall extremes is essential for drainage system design, flood mitigation,...
AbstractMany probability distributions have been developed to model the extreme rainfall processes. ...
The Multiplicative Discrete Random Cascade (MDRC) class of model is used to temporally disaggregate ...
The Multiplicative Discrete Random Cascade (MDRC) class of model is used to temporally disaggregate ...