Articles | Volume 24, issue 6
https://doi.org/10.5194/hess-24-2963-2020
https://doi.org/10.5194/hess-24-2963-2020
Research article
 | 
08 Jun 2020
Research article |  | 08 Jun 2020

Bias in dynamically downscaled rainfall characteristics for hydroclimatic projections

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

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Cited

Latest update: 02 Dec 2023
Short summary
There is a growing need for information about possible changes to water resource availability in the future due to climate change. Large-scale outputs from global climate models need to be translated to finer-resolution spatial scales before hydrological modelling. Biases in this downscaled data often need to be corrected. We show that usual bias correction methods can retain residual biases in multi-day occurrences of rainfall, which can result in biases in modelled runoff.