Articles | Volume 24, issue 6
Hydrol. Earth Syst. Sci., 24, 2981–2997, 2020
https://doi.org/10.5194/hess-24-2981-2020
Hydrol. Earth Syst. Sci., 24, 2981–2997, 2020
https://doi.org/10.5194/hess-24-2981-2020

Research article 08 Jun 2020

Research article | 08 Jun 2020

Impact of downscaled rainfall biases on projected runoff changes

Stephen P. Charles et al.

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Cited articles

Addor, N. and Seibert, J.: Bias correction for hydrological impact studies – beyond the daily perspective, Hydrolog. Process., 28, 4823–4828, https://doi.org/10.1002/hyp.10238, 2014. 
Andréassian, V., Oddos, A., Michel, C., Anctil, F., Perrin, C., and Loumagne, C.: Impact of spatial aggregation of inputs and parameters on the efficiency of rainfall-runoff models: A theoretical study using chimera watersheds, Water Resour. Res., 40, W05209, https://doi.org/10.1029/2003wr002854, 2004. 
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Chen, J., Brissette, F. P., Chaumont, D., and Braun, M.: Finding appropriate bias correction methods in downscaling precipitation for hydrologic impact studies over North America, Water Resour. Res., 49, 4187–4205, https://doi.org/10.1002/wrcr.20331, 2013. 
Chiew, F. H. S., Teng, J., Vaze, J., Post, D. A., Perraud, J. M., Kirono, D. G. C., and Viney, N. R.: Estimating climate change impact on runoff across southeast Australia: Method, results, and implications of the modeling method, Water Resour. Res., 45, W10414, https://doi.org/10.1029/2008WR007338, 2009. 
Short summary
This paper assesses the suitability of bias-corrected (BC) WRF daily rainfall across the state of Victoria, Australia, for input to hydrological models to determine plausible climate change impacts on runoff. It compares rainfall and runoff changes using BC WRF with those obtained from empirical scaling (ES) using raw WRF changes. It concludes that BC-derived changes are more plausible than ES-derived changes but that remaining biases in BC WRF daily data add uncertainty to runoff projections.