Journal article

Implications of event-based loss model structure on simulating large floods

Declan O'Shea, Rory Nathan, Conrad Wasko, Peter Hill



Event-based rainfall-runoff models used for design flood estimation and operational flood forecasting commonly represent losses (the amount of rainfall which does not appear as runoff) using lumped, parsimonious models. In gauged catchments, these loss values are typically estimated by calibrating models to observed flood events. Studies which compare loss models tend to focus on which model best reproduces observed events, however, flood modelling often requires estimating events larger than those used for calibration. It is thus of interest to examine how loss models perform over a range of flood magnitudes, particularly larger floods. Here, we evaluate the efficacy of different loss model..

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Awarded by Australian Research Council (ARC) Discovery project

Funding Acknowledgements

Declan O'Shea acknowledges the support of an Australian Government Research Training Program Scholarship and the University of Melbourne Lochrie Engineering Scholarship. Conrad Wasko acknowledges support from the University of Melbourne McKenzie Postdoctoral Fellowship scheme. This research was supported by the Australian Research Council (ARC) Discovery project DP200101326 and by industry support from Hydro Tasmania, Melbourne Water, MurrayDarling Basin Authority, Queensland Department of Natural Resources Mines and Energy, Seqwater, Snowy Hydro, Sunwater, Water Corporation WA, and WaterNSW.