Articles | Volume 24, issue 6
Hydrol. Earth Syst. Sci., 24, 2963–2979, 2020
https://doi.org/10.5194/hess-24-2963-2020
Hydrol. Earth Syst. Sci., 24, 2963–2979, 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 et al.

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Latest update: 19 Oct 2021
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.