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Uncertainty analysis of the rainfall runoff model LisFlood within the Generalized Likelihood Uncertainty Estimation (GLUE)

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Uncertainty analysis of the rainfall runoff model LisFlood within the Generalized Likelihood Uncertainty Estimation (GLUE). / Pappenberger, Florian; Beven, Keith; Roo, Ad De et al.

In: International Journal of River Basin Management, Vol. 2, No. 2, 01.01.2004, p. 123-133.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Pappenberger, F, Beven, K, Roo, AD, Thielen, J & Gouweleeuw, B 2004, 'Uncertainty analysis of the rainfall runoff model LisFlood within the Generalized Likelihood Uncertainty Estimation (GLUE)', International Journal of River Basin Management, vol. 2, no. 2, pp. 123-133. https://doi.org/10.1080/15715124.2004.9635227

APA

Pappenberger, F., Beven, K., Roo, A. D., Thielen, J., & Gouweleeuw, B. (2004). Uncertainty analysis of the rainfall runoff model LisFlood within the Generalized Likelihood Uncertainty Estimation (GLUE). International Journal of River Basin Management, 2(2), 123-133. https://doi.org/10.1080/15715124.2004.9635227

Vancouver

Pappenberger F, Beven K, Roo AD, Thielen J, Gouweleeuw B. Uncertainty analysis of the rainfall runoff model LisFlood within the Generalized Likelihood Uncertainty Estimation (GLUE). International Journal of River Basin Management. 2004 Jan 1;2(2):123-133. doi: 10.1080/15715124.2004.9635227

Author

Pappenberger, Florian ; Beven, Keith ; Roo, Ad De et al. / Uncertainty analysis of the rainfall runoff model LisFlood within the Generalized Likelihood Uncertainty Estimation (GLUE). In: International Journal of River Basin Management. 2004 ; Vol. 2, No. 2. pp. 123-133.

Bibtex

@article{cf4db6e82b074794abe8e0b508f8b7b7,
title = "Uncertainty analysis of the rainfall runoff model LisFlood within the Generalized Likelihood Uncertainty Estimation (GLUE)",
abstract = "The uncertainty of the GIS based rainfall runoff model LisFlood has been investigated within the Generalized Likelihood Uncertainty Estimation (GLUE) framework. Multipliers for the saturated and unsaturated hydraulic conductivity, the porosity of the upper and lower soil layer, channel and overland flow roughness and the maximum percolation from upper to lower storages have been sampled within a Monte Carlo analysis from a uniform random distribution. With each parameter set the model has been computed with input for the 1995 flood event of the river Meuse situated in France, Belgium and The Netherlands. Eight gauging stations have been used for model evaluation by the Multicomponent Mapping (Mx method. All parameters demonstrate equifinality and no parameter set could be classified as behavioural for all the evaluation datasets. However, the results of the prediction of uncertainty percentiles on the flow are very satisfactory and encouraging. The model did further show the capability to predict the uncertainty for estimating the exceedence of threshold levels, which can be used in flood warning decision making and river basin management.",
keywords = "Flood, GLUE, LisFlood, Meuse, Rainfall runoff, Uncertainty",
author = "Florian Pappenberger and Keith Beven and Roo, {Ad De} and Jutta Thielen and Ben Gouweleeuw",
year = "2004",
month = jan,
day = "1",
doi = "10.1080/15715124.2004.9635227",
language = "English",
volume = "2",
pages = "123--133",
journal = "International Journal of River Basin Management",
issn = "1571-5124",
publisher = "International Association of Hydraulic Engineering Research",
number = "2",

}

RIS

TY - JOUR

T1 - Uncertainty analysis of the rainfall runoff model LisFlood within the Generalized Likelihood Uncertainty Estimation (GLUE)

AU - Pappenberger, Florian

AU - Beven, Keith

AU - Roo, Ad De

AU - Thielen, Jutta

AU - Gouweleeuw, Ben

PY - 2004/1/1

Y1 - 2004/1/1

N2 - The uncertainty of the GIS based rainfall runoff model LisFlood has been investigated within the Generalized Likelihood Uncertainty Estimation (GLUE) framework. Multipliers for the saturated and unsaturated hydraulic conductivity, the porosity of the upper and lower soil layer, channel and overland flow roughness and the maximum percolation from upper to lower storages have been sampled within a Monte Carlo analysis from a uniform random distribution. With each parameter set the model has been computed with input for the 1995 flood event of the river Meuse situated in France, Belgium and The Netherlands. Eight gauging stations have been used for model evaluation by the Multicomponent Mapping (Mx method. All parameters demonstrate equifinality and no parameter set could be classified as behavioural for all the evaluation datasets. However, the results of the prediction of uncertainty percentiles on the flow are very satisfactory and encouraging. The model did further show the capability to predict the uncertainty for estimating the exceedence of threshold levels, which can be used in flood warning decision making and river basin management.

AB - The uncertainty of the GIS based rainfall runoff model LisFlood has been investigated within the Generalized Likelihood Uncertainty Estimation (GLUE) framework. Multipliers for the saturated and unsaturated hydraulic conductivity, the porosity of the upper and lower soil layer, channel and overland flow roughness and the maximum percolation from upper to lower storages have been sampled within a Monte Carlo analysis from a uniform random distribution. With each parameter set the model has been computed with input for the 1995 flood event of the river Meuse situated in France, Belgium and The Netherlands. Eight gauging stations have been used for model evaluation by the Multicomponent Mapping (Mx method. All parameters demonstrate equifinality and no parameter set could be classified as behavioural for all the evaluation datasets. However, the results of the prediction of uncertainty percentiles on the flow are very satisfactory and encouraging. The model did further show the capability to predict the uncertainty for estimating the exceedence of threshold levels, which can be used in flood warning decision making and river basin management.

KW - Flood

KW - GLUE

KW - LisFlood

KW - Meuse

KW - Rainfall runoff

KW - Uncertainty

U2 - 10.1080/15715124.2004.9635227

DO - 10.1080/15715124.2004.9635227

M3 - Journal article

AN - SCOPUS:85009578495

VL - 2

SP - 123

EP - 133

JO - International Journal of River Basin Management

JF - International Journal of River Basin Management

SN - 1571-5124

IS - 2

ER -