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Grasping the unavoidable subjectivity in calibration of flood inundation models : a vulnerability weighted approach.

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

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Grasping the unavoidable subjectivity in calibration of flood inundation models : a vulnerability weighted approach. / Pappenberger, Florian; Beven, Keith J.; Frodsham, Kevin et al.
In: Journal of Hydrology, Vol. 333, No. 2-4, 15.02.2007, p. 275-287.

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

Harvard

Pappenberger, F, Beven, KJ, Frodsham, K, Romanovicz, R & Matgen, P 2007, 'Grasping the unavoidable subjectivity in calibration of flood inundation models : a vulnerability weighted approach.', Journal of Hydrology, vol. 333, no. 2-4, pp. 275-287. https://doi.org/10.1016/j.jhydrol.2006.08.017

APA

Pappenberger, F., Beven, K. J., Frodsham, K., Romanovicz, R., & Matgen, P. (2007). Grasping the unavoidable subjectivity in calibration of flood inundation models : a vulnerability weighted approach. Journal of Hydrology, 333(2-4), 275-287. https://doi.org/10.1016/j.jhydrol.2006.08.017

Vancouver

Pappenberger F, Beven KJ, Frodsham K, Romanovicz R, Matgen P. Grasping the unavoidable subjectivity in calibration of flood inundation models : a vulnerability weighted approach. Journal of Hydrology. 2007 Feb 15;333(2-4):275-287. doi: 10.1016/j.jhydrol.2006.08.017

Author

Pappenberger, Florian ; Beven, Keith J. ; Frodsham, Kevin et al. / Grasping the unavoidable subjectivity in calibration of flood inundation models : a vulnerability weighted approach. In: Journal of Hydrology. 2007 ; Vol. 333, No. 2-4. pp. 275-287.

Bibtex

@article{a6c13a6b02a94794bd66e16e3612a99f,
title = "Grasping the unavoidable subjectivity in calibration of flood inundation models : a vulnerability weighted approach.",
abstract = "Quantitative modeling of risk and hazard from flooding involves decisions regarding the choice of model and goal of the modeling exercise, expressed by some measure of performance. This paper shows how the subjectivity in the choices of performance measures and observation sets used for model calibration inevitably results in variability in the estimation of flood hazard. We compare the predictions of a 2D flood inundation model obtained using different global and local evaluation criteria. It is shown that traditional area averaging performance measures are inadequate in the face of model imperfection, especially when such models are calibrated for flood hazard studies. In this study we include flood risk weighting into the performance measure of the model. This allows us to calibrate the model to places that are important, e.g. location of houses. The quantification of the importance of places requires the necessity of engaging stakeholders into the model calibration process.",
keywords = "Flood inundation model, LISFLOOD-FP, GLUE, Raster map comparison, Utility function, Flood risk, Flood hazard",
author = "Florian Pappenberger and Beven, {Keith J.} and Kevin Frodsham and Renata Romanovicz and Patrick Matgen",
year = "2007",
month = feb,
day = "15",
doi = "10.1016/j.jhydrol.2006.08.017",
language = "English",
volume = "333",
pages = "275--287",
journal = "Journal of Hydrology",
publisher = "Elsevier Science B.V.",
number = "2-4",

}

RIS

TY - JOUR

T1 - Grasping the unavoidable subjectivity in calibration of flood inundation models : a vulnerability weighted approach.

AU - Pappenberger, Florian

AU - Beven, Keith J.

AU - Frodsham, Kevin

AU - Romanovicz, Renata

AU - Matgen, Patrick

PY - 2007/2/15

Y1 - 2007/2/15

N2 - Quantitative modeling of risk and hazard from flooding involves decisions regarding the choice of model and goal of the modeling exercise, expressed by some measure of performance. This paper shows how the subjectivity in the choices of performance measures and observation sets used for model calibration inevitably results in variability in the estimation of flood hazard. We compare the predictions of a 2D flood inundation model obtained using different global and local evaluation criteria. It is shown that traditional area averaging performance measures are inadequate in the face of model imperfection, especially when such models are calibrated for flood hazard studies. In this study we include flood risk weighting into the performance measure of the model. This allows us to calibrate the model to places that are important, e.g. location of houses. The quantification of the importance of places requires the necessity of engaging stakeholders into the model calibration process.

AB - Quantitative modeling of risk and hazard from flooding involves decisions regarding the choice of model and goal of the modeling exercise, expressed by some measure of performance. This paper shows how the subjectivity in the choices of performance measures and observation sets used for model calibration inevitably results in variability in the estimation of flood hazard. We compare the predictions of a 2D flood inundation model obtained using different global and local evaluation criteria. It is shown that traditional area averaging performance measures are inadequate in the face of model imperfection, especially when such models are calibrated for flood hazard studies. In this study we include flood risk weighting into the performance measure of the model. This allows us to calibrate the model to places that are important, e.g. location of houses. The quantification of the importance of places requires the necessity of engaging stakeholders into the model calibration process.

KW - Flood inundation model

KW - LISFLOOD-FP

KW - GLUE

KW - Raster map comparison

KW - Utility function

KW - Flood risk

KW - Flood hazard

U2 - 10.1016/j.jhydrol.2006.08.017

DO - 10.1016/j.jhydrol.2006.08.017

M3 - Journal article

VL - 333

SP - 275

EP - 287

JO - Journal of Hydrology

JF - Journal of Hydrology

IS - 2-4

ER -