Dependence of model-based extreme flood estimation on the calibration period: case study of the Kamp River (Austria) |
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| Authors: | P Brigode E Paquet P Bernardara J Gailhard F Garavaglia P Ribstein |
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| Institution: | 1. UR HBAN, Irstea, Antony, Francepierre.brigode@irstea.fr;3. DMM, DTG, électricité de France, Grenoble, France;4. LNHE, R&5. D, électricité de France, Chatou, France;6. Sorbonne Universités, UPMC Univ. Paris 06, UMR 7619 METIS, Paris, France |
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| Abstract: | AbstractThe Kamp River is a particularly interesting case study for testing flood frequency estimation methods, since it experienced a major flood in August 2002. Here, the Kamp catchment is studied in order to quantify the influence of such a remarkable flood event on the calibration of a rainfall–runoff model, in particular when it is used in a stochastic simulation method for flood estimation, by performing numerous rainfall–runoff model calibrations (based on split-sample and bootstrap tests). The results confirmed the usefulness of the multi-period and bootstrap testing schemes for identifying the dependence of model performance and flood estimates on the information contained in the calibration period. The August 2002 event appears to play a dominating role for the Kamp River, since the presence or absence of the event within the calibration sub-periods strongly influences the rainfall–runoff model calibration and the extreme flood estimations that are based on the calibrated model. |
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| Keywords: | non-stationarity IAHS Workshop model calibration and evaluation SCHADEX extreme floods bootstrap |
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