Impact of downscaled rainfall biases on projected runoff changes

Charles, Stephen P.; Chiew, Francis H. S.; Potter, Nicholas J.; Zheng, Hongxing; Fu, Guobin; Zhang, Lu

doi:https://doi.org/10.5194/hess-24-2981-2020

Articles | Volume 24, issue 6

https://doi.org/10.5194/hess-24-2981-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/hess-24-2981-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 24, issue 6

Research article

|

08 Jun 2020

Research article |

| 08 Jun 2020

Impact of downscaled rainfall biases on projected runoff changes

Stephen P. Charles, Francis H. S. Chiew, Nicholas J. Potter, Hongxing Zheng, Guobin Fu, and Lu Zhang

Supplement

https://doi.org/10.5194/hess-24-2981-2020-supplement

Data sets

Regional Climate Model (RCM) simulations performed as part of the NSW and ACT Regional Climate Modelling (NARCliM) project NSW Climate Data Portal https://climatedata.environment.nsw.gov.au/

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.