Modelling extreme rainfalls using a modified random pulse Bartlett-Lewis stochastic rainfall model (with uncertainty).

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Modelling extreme rainfalls using a modified random pulse Bartlett-Lewis stochastic rainfall model (with uncertainty). / Cameron, D.; Beven, K. J.; Tawn, J. A.
In: Advances in Water Resources, Vol. 24, No. 2, 2000, p. 203-211.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Cameron, D, Beven, KJ & Tawn, JA 2000, 'Modelling extreme rainfalls using a modified random pulse Bartlett-Lewis stochastic rainfall model (with uncertainty).', Advances in Water Resources, vol. 24, no. 2, pp. 203-211. https://doi.org/10.1016/S0309-1708(00)00042-7

APA

Cameron, D., Beven, K. J., & Tawn, J. A. (2000). Modelling extreme rainfalls using a modified random pulse Bartlett-Lewis stochastic rainfall model (with uncertainty). Advances in Water Resources, 24(2), 203-211. https://doi.org/10.1016/S0309-1708(00)00042-7

Vancouver

Cameron D, Beven KJ , Tawn JA. Modelling extreme rainfalls using a modified random pulse Bartlett-Lewis stochastic rainfall model (with uncertainty). Advances in Water Resources. 2000;24(2):203-211. doi: 10.1016/S0309-1708(00)00042-7

Author

Cameron, D. ; Beven, K. J. ; Tawn, J. A. / Modelling extreme rainfalls using a modified random pulse Bartlett-Lewis stochastic rainfall model (with uncertainty). In: Advances in Water Resources. 2000 ; Vol. 24, No. 2. pp. 203-211.

Bibtex

@article{6c59c1070e9242e88a861d74bedb7ce4,

title = "Modelling extreme rainfalls using a modified random pulse Bartlett-Lewis stochastic rainfall model (with uncertainty).",

abstract = "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. A comparison of the modelled extreme rainfall amounts, with those obtained from a direct statistical analysis of the data, is also conducted.",

keywords = "Rainfall, Extreme, Stochastic rainfall modelling, Uncertainty",

author = "D. Cameron and Beven, {K. J.} and Tawn, {J. A.}",

year = "2000",

doi = "10.1016/S0309-1708(00)00042-7",

language = "English",

volume = "24",

pages = "203--211",

journal = "Advances in Water Resources",

publisher = "Elsevier Limited",

number = "2",

}

RIS

TY - JOUR

T1 - Modelling extreme rainfalls using a modified random pulse Bartlett-Lewis stochastic rainfall model (with uncertainty).

AU - Cameron, D.

AU - Beven, K. J.

AU - Tawn, J. A.

PY - 2000

Y1 - 2000

N2 - 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. A comparison of the modelled extreme rainfall amounts, with those obtained from a direct statistical analysis of the data, is also conducted.

AB - 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. A comparison of the modelled extreme rainfall amounts, with those obtained from a direct statistical analysis of the data, is also conducted.

KW - Rainfall

KW - Extreme

KW - Stochastic rainfall modelling

KW - Uncertainty

U2 - 10.1016/S0309-1708(00)00042-7

DO - 10.1016/S0309-1708(00)00042-7

M3 - Journal article

VL - 24

SP - 203

EP - 211

JO - Advances in Water Resources

JF - Advances in Water Resources

IS - 2

ER -

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