- Title
- Evaluation of rainfall-runoff model performance under non-stationary hydroclimatic conditions
- Creator
- Deb, Proloy; Kiem, Anthony S.
- Relation
- ARC.LP120200494 http://purl.org/au-research/grants/arc/LP120200494
- Relation
- Hydrological Sciences Journal Vol. 65, Issue 10, p. 1667-1684
- Publisher Link
- http://dx.doi.org/10.1080/02626667.2020.1754420
- Publisher
- Taylor & Francis
- Resource Type
- journal article
- Date
- 2020
- Description
- Understanding of rainfall-runoff model performance under non-stationary hydroclimatic conditions is limited. This study compared lumped (IHACRES), semi-distributed (HEC-HMS) and fully-distributed (SWATgrid) hydrological models to determine which most realistically simulates runoff in catchments where non-stationarity in rainfall-runoff relationships exists. The models were calibrated and validated under different hydroclimatic conditions (Average, Wet and Dry) for two heterogeneous catchments in southeast Australia (SEA). SWATgrid realistically simulates runoff in the smaller catchment under most hydroclimatic conditions but fails when the model is calibrated in Dry conditions and validated in Wet. All three models perform poorly in the larger catchment irrespective of hydroclimatic conditions. This highlights the need for more research aimed at improving the ability of hydrological models to realistically incorporate the physical processes causing nonstationarity in rainfall-runoff relationships. Although the study is focussed on SEA, the insights gained are useful for all regions which experience large hydroclimatic variability and multi-year/decadal droughts.
- Subject
- hydrological model; IHACRES; HEC-HMS; SWATgrid; Southeast Australia; land use; surface water-groundwater interaction
- Identifier
- http://hdl.handle.net/1959.13/1461001
- Identifier
- uon:46082
- Identifier
- ISSN:0262-6667
- Rights
- This is an Accepted Manuscript of an article published by Taylor & Francis in Hydrological Sciences Journal on 28/05/2020, available online: https://www.tandfonline.com/doi/full/10.1080/02626667.2020.1754420.
- Language
- eng
- Full Text
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