Hydrology and Earth System Sciences
Hydrology and Earth System Sciences
HESS
Articles | Volume 24, issue 6
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

Viewed

Total article views: 3,486 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,428 961 97 3,486 195 88 115
  • HTML: 2,428
  • PDF: 961
  • XML: 97
  • Total: 3,486
  • Supplement: 195
  • BibTeX: 88
  • EndNote: 115
Views and downloads (calculated since 05 Aug 2019)
Cumulative views and downloads (calculated since 05 Aug 2019)

Viewed (geographical distribution)

Total article views: 3,486 (including HTML, PDF, and XML) Thereof 3,019 with geography defined and 467 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 17 Nov 2025
Download
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.
Read more
Share