Articles | Volume 30, issue 8
https://doi.org/10.5194/hess-30-2395-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-30-2395-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
27 Apr 2026
Research article |
| 27 Apr 2026
| 27 Apr 2026
Bias-corrected UKCP18 Convection-permitting model projections for England
Qianyu Zha
Tyndall Centre for Climate Change Research, School of Environmental Sciences, University of East Anglia, Norwich, NR4 7TJ, UK
Tyndall Centre for Climate Change Research, School of Environmental Sciences, University of East Anglia, Norwich, NR4 7TJ, UK
Timothy J. Osborn
Climatic Research Unit, School of Environmental Sciences, University of East Anglia, Norwich, NR4 7TJ, UK
Nicole Forstenhäusler
Tyndall Centre for Climate Change Research, School of Environmental Sciences, University of East Anglia, Norwich, NR4 7TJ, UK
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Short summary
We apply and evaluate a statistical method to adjust biases in high-resolution climate projections for England. By comparing modelled rainfall and temperature with observations, we show that the adjusted projections agree much more closely with real conditions for both average patterns and extremes, providing a more reliable basis for high-resolution impact modelling and assessments that depend on hourly precipitation data.
We apply and evaluate a statistical method to adjust biases in high-resolution climate...
