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Dependence of model-based extreme flood estimation on the calibration period: the case study of the Kamp River (Austria)

Abstract : The Kamp River is a particularly interesting case study for testing flood frequency estimation methods, since it experienced a major flood in August 2002. Here, this 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 to identify 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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Submitted on : Wednesday, June 17, 2015 - 11:33:51 PM
Last modification on : Thursday, November 18, 2021 - 4:08:57 AM
Long-term archiving on: : Tuesday, September 15, 2015 - 6:11:12 PM

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Pierre Brigode, Emmanuel Paquet, Pietro Bernardara, Joël Gailhard, Federico Garavaglia, et al.. Dependence of model-based extreme flood estimation on the calibration period: the case study of the Kamp River (Austria). Hydrological Sciences Journal, Taylor & Francis, 2015, Special issue: Modelling Temporally-variable Catchments, 60 (7-8), pp.1-14. ⟨10.1080/02626667.2015.1006632⟩. ⟨hal-01164840⟩

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