GLUE Based Uncertainty Estimation of Urban Drainage Modeling Using Weather Radar Precipitation Estimates

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

Abstract

Distributed weather radar precipitation measurements are used as rainfall input for an urban drainage model, to simulate the runoff from a small catchment of Denmark. It is demonstrated how the Generalized Likelihood Uncertainty Estimation (GLUE) methodology can be implemented and used to estimate the uncertainty of the weather radar rainfall input. The main findings of this work, is that the input uncertainty propagate through the urban drainage model with significant effects on the model result. The GLUE methodology is in general a usable way to explore this uncertainty although; the exact width of the prediction bands can be questioned, due to the subjective nature of the method. Moreover, the method also gives very useful information about the model and parameter behaviour.
Original languageEnglish
Title of host publication12th International Conference on Urban Drainage : proceedings
Number of pages8
Publication date2011
Publication statusPublished - 2011
Event12th International Conference on Urban Drainage - Porto Alegre city, Rio Grande do Sul, Brazil
Duration: 11 Sep 201116 Sep 2011

Conference

Conference12th International Conference on Urban Drainage
CountryBrazil
CityPorto Alegre city, Rio Grande do Sul
Period11/09/201116/09/2011

Fingerprint

urban drainage
radar
weather
modeling
rainfall
methodology
catchment
runoff
prediction
method

Bibliographical note

Published on a CD.

Keywords

  • GLUE
  • Urban Drainage Modelling
  • Weather Radar
  • Precipitation

Cite this

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title = "GLUE Based Uncertainty Estimation of Urban Drainage Modeling Using Weather Radar Precipitation Estimates",
abstract = "Distributed weather radar precipitation measurements are used as rainfall input for an urban drainage model, to simulate the runoff from a small catchment of Denmark. It is demonstrated how the Generalized Likelihood Uncertainty Estimation (GLUE) methodology can be implemented and used to estimate the uncertainty of the weather radar rainfall input. The main findings of this work, is that the input uncertainty propagate through the urban drainage model with significant effects on the model result. The GLUE methodology is in general a usable way to explore this uncertainty although; the exact width of the prediction bands can be questioned, due to the subjective nature of the method. Moreover, the method also gives very useful information about the model and parameter behaviour.",
keywords = "GLUE, Urban Drainage Modelling, Weather Radar, Precipitation, GLUE, Urban Drainage Modelling, Weather Radar, Precipitation",
author = "Nielsen, {Jesper Ellerb{\ae}k} and Thorndahl, {S{\o}ren Liedtke} and Rasmussen, {Michael R.}",
note = "Published on a CD.",
year = "2011",
language = "English",
booktitle = "12th International Conference on Urban Drainage",

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Nielsen, JE, Thorndahl, SL & Rasmussen, MR 2011, GLUE Based Uncertainty Estimation of Urban Drainage Modeling Using Weather Radar Precipitation Estimates. in 12th International Conference on Urban Drainage: proceedings., Porto Alegre city, Rio Grande do Sul, Brazil, 11/09/2011.

GLUE Based Uncertainty Estimation of Urban Drainage Modeling Using Weather Radar Precipitation Estimates. / Nielsen, Jesper Ellerbæk; Thorndahl, Søren Liedtke; Rasmussen, Michael R.

12th International Conference on Urban Drainage: proceedings. 2011.

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

TY - GEN

T1 - GLUE Based Uncertainty Estimation of Urban Drainage Modeling Using Weather Radar Precipitation Estimates

AU - Nielsen, Jesper Ellerbæk

AU - Thorndahl, Søren Liedtke

AU - Rasmussen, Michael R.

N1 - Published on a CD.

PY - 2011

Y1 - 2011

N2 - Distributed weather radar precipitation measurements are used as rainfall input for an urban drainage model, to simulate the runoff from a small catchment of Denmark. It is demonstrated how the Generalized Likelihood Uncertainty Estimation (GLUE) methodology can be implemented and used to estimate the uncertainty of the weather radar rainfall input. The main findings of this work, is that the input uncertainty propagate through the urban drainage model with significant effects on the model result. The GLUE methodology is in general a usable way to explore this uncertainty although; the exact width of the prediction bands can be questioned, due to the subjective nature of the method. Moreover, the method also gives very useful information about the model and parameter behaviour.

AB - Distributed weather radar precipitation measurements are used as rainfall input for an urban drainage model, to simulate the runoff from a small catchment of Denmark. It is demonstrated how the Generalized Likelihood Uncertainty Estimation (GLUE) methodology can be implemented and used to estimate the uncertainty of the weather radar rainfall input. The main findings of this work, is that the input uncertainty propagate through the urban drainage model with significant effects on the model result. The GLUE methodology is in general a usable way to explore this uncertainty although; the exact width of the prediction bands can be questioned, due to the subjective nature of the method. Moreover, the method also gives very useful information about the model and parameter behaviour.

KW - GLUE

KW - Urban Drainage Modelling

KW - Weather Radar

KW - Precipitation

KW - GLUE

KW - Urban Drainage Modelling

KW - Weather Radar

KW - Precipitation

M3 - Article in proceeding

BT - 12th International Conference on Urban Drainage

ER -