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Event based uncertainty assessment in urban drainage modelling, applying the GLUE methodology.

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Event based uncertainty assessment in urban drainage modelling, applying the GLUE methodology. / Thorndahl, S.; Beven, Keith J.; Jensen, J. B. et al.
In: Journal of Hydrology, Vol. 357, No. 3-4, 15.08.2008, p. 421-437.

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

Harvard

Thorndahl, S, Beven, KJ, Jensen, JB & Schaarup-Jensen, K 2008, 'Event based uncertainty assessment in urban drainage modelling, applying the GLUE methodology.', Journal of Hydrology, vol. 357, no. 3-4, pp. 421-437. https://doi.org/10.1016/j.jhydrol.2008.05.027

APA

Thorndahl, S., Beven, K. J., Jensen, J. B., & Schaarup-Jensen, K. (2008). Event based uncertainty assessment in urban drainage modelling, applying the GLUE methodology. Journal of Hydrology, 357(3-4), 421-437. https://doi.org/10.1016/j.jhydrol.2008.05.027

Vancouver

Thorndahl S, Beven KJ, Jensen JB, Schaarup-Jensen K. Event based uncertainty assessment in urban drainage modelling, applying the GLUE methodology. Journal of Hydrology. 2008 Aug 15;357(3-4):421-437. doi: 10.1016/j.jhydrol.2008.05.027

Author

Thorndahl, S. ; Beven, Keith J. ; Jensen, J. B. et al. / Event based uncertainty assessment in urban drainage modelling, applying the GLUE methodology. In: Journal of Hydrology. 2008 ; Vol. 357, No. 3-4. pp. 421-437.

Bibtex

@article{373c0388f5164febb081b6c7be14773d,
title = "Event based uncertainty assessment in urban drainage modelling, applying the GLUE methodology.",
abstract = "In the present paper an uncertainty analysis on an application of the commercial urban drainage model MOUSE is conducted. Applying the Generalized Likelihood Uncertainty Estimation (GLUE) methodology the model is conditioned on observation time series from two flow gauges as well as the occurrence of combined sewer overflow. The GLUE methodology is used to test different conceptual setups in order to determine if one model setup gives a better goodness of fit conditional on the observations than the other. Moreover, different methodological investigations of GLUE are conducted in order to test if the uncertainty analysis is unambiguous. It is shown that the GLUE methodology is very applicable in uncertainty analysis of this application of an urban drainage model, although it was shown to be quite difficult to get good fits of the whole time series.",
keywords = "Urban drainage modelling, Generalized likelihood uncertainty estimation (GLUE), Uncertainty, Monte Carlo sampling, Calibration",
author = "S. Thorndahl and Beven, {Keith J.} and Jensen, {J. B.} and K. Schaarup-Jensen",
year = "2008",
month = aug,
day = "15",
doi = "10.1016/j.jhydrol.2008.05.027",
language = "English",
volume = "357",
pages = "421--437",
journal = "Journal of Hydrology",
publisher = "Elsevier Science B.V.",
number = "3-4",

}

RIS

TY - JOUR

T1 - Event based uncertainty assessment in urban drainage modelling, applying the GLUE methodology.

AU - Thorndahl, S.

AU - Beven, Keith J.

AU - Jensen, J. B.

AU - Schaarup-Jensen, K.

PY - 2008/8/15

Y1 - 2008/8/15

N2 - In the present paper an uncertainty analysis on an application of the commercial urban drainage model MOUSE is conducted. Applying the Generalized Likelihood Uncertainty Estimation (GLUE) methodology the model is conditioned on observation time series from two flow gauges as well as the occurrence of combined sewer overflow. The GLUE methodology is used to test different conceptual setups in order to determine if one model setup gives a better goodness of fit conditional on the observations than the other. Moreover, different methodological investigations of GLUE are conducted in order to test if the uncertainty analysis is unambiguous. It is shown that the GLUE methodology is very applicable in uncertainty analysis of this application of an urban drainage model, although it was shown to be quite difficult to get good fits of the whole time series.

AB - In the present paper an uncertainty analysis on an application of the commercial urban drainage model MOUSE is conducted. Applying the Generalized Likelihood Uncertainty Estimation (GLUE) methodology the model is conditioned on observation time series from two flow gauges as well as the occurrence of combined sewer overflow. The GLUE methodology is used to test different conceptual setups in order to determine if one model setup gives a better goodness of fit conditional on the observations than the other. Moreover, different methodological investigations of GLUE are conducted in order to test if the uncertainty analysis is unambiguous. It is shown that the GLUE methodology is very applicable in uncertainty analysis of this application of an urban drainage model, although it was shown to be quite difficult to get good fits of the whole time series.

KW - Urban drainage modelling

KW - Generalized likelihood uncertainty estimation (GLUE)

KW - Uncertainty

KW - Monte Carlo sampling

KW - Calibration

UR - http://www.scopus.com/inward/record.url?scp=45549099666&partnerID=8YFLogxK

U2 - 10.1016/j.jhydrol.2008.05.027

DO - 10.1016/j.jhydrol.2008.05.027

M3 - Journal article

VL - 357

SP - 421

EP - 437

JO - Journal of Hydrology

JF - Journal of Hydrology

IS - 3-4

ER -