Journal article

Disaggregated monthly hydrological models can outperform daily models in providing daily flow statistics and extrapolate well to a drying climate

Andrew John, Keirnan Fowler, Rory Nathan, Avril Horne, Michael Stewardson



Daily timescale hydrological information is important for many purposes such as flood estimation, predicting the consequences of catchment management and meeting the needs of freshwater ecology. In hydrological assessments, daily timestep modelling is typically used because of the availability of daily data and many of the processes governing impacts occur at this timescale. However, daily models can suffer from poor performance in certain contexts (e.g. drier climates), and their computational requirements can make it difficult to efficiently explore many sources of uncertainty in some situations, such as understanding the impacts of climate change in larger water resource systems. Here, we..

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Awarded by Australian Research Council (ARC Linkage Project)

Awarded by Australian Research Council

Funding Acknowledgements

This study was funded by the Australian Research Council (ARC Linkage Project LP170100598), Australian Commonwealth Government under a Research Training Program Scholarship, and several partner agencies including the Department of Environment, Land, Water and Planning; the Victorian Environmental Water Holder and the Bureau of Meteorology. Avril Horne was funded by Australian Research Council DECRA DE180100550.