Articles | Volume 24, issue 6
https://doi.org/10.5194/hess-24-2981-2020
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, Francis H. S. Chiew, Nicholas J. Potter, Hongxing Zheng, Guobin Fu, and Lu Zhang

Viewed

Total article views: 2,734 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,915 757 62 2,734 145 51 52
  • HTML: 1,915
  • PDF: 757
  • XML: 62
  • Total: 2,734
  • Supplement: 145
  • BibTeX: 51
  • EndNote: 52
Views and downloads (calculated since 05 Aug 2019)
Cumulative views and downloads (calculated since 05 Aug 2019)

Viewed (geographical distribution)

Total article views: 2,734 (including HTML, PDF, and XML) Thereof 2,276 with geography defined and 458 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 28 Mar 2024
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.