Preprints
https://doi.org/10.5194/egusphere-2025-3717
https://doi.org/10.5194/egusphere-2025-3717
06 Oct 2025
 | 06 Oct 2025
Status: this preprint is open for discussion and under review for Hydrology and Earth System Sciences (HESS).

Bias-corrected UKCP18 Convection-Permitting Model Projections for England

Qianyu Zha, Yi He, Timothy J. Osborn, and Nicole Forstenhäusler

Abstract. The UKCP18 Convection-Permitting Model (CPM) provides the latest high-resolution climate projections for the UK. Compared with regional climate model projections, the CPM projections are more capable of simulating small-scale atmospheric convection particularly during extreme weather events such as intense rainfall and localized storms. However, systematic biases still exist in these projections. To improve the reliability of these projections, bias correction is crucial. In this study, we applied a quantile mapping (QM) method to correct hourly precipitation and daily temperature for four selected ensemble members (EM01, EM04, EM07, EM08) of the UKCP18-CPM for England. The raw UKCP18-CPM simulations exhibit wet precipitation biases, particularly in northern England, with annual mean biases ranging from 4.6 % to 18.3 %, and cool temperature biases, with annual mean biases from −0.87 °C to 0.02 °C. Bias correction substantially improved agreement with observational datasets, increasing R² values for the 95th percentile of hourly precipitation from 0.80–0.88 to 0.98 and achieving near-perfect alignment (R² = 1) for temperature extremes. Future projections for the 2070s indicate notable increases in annual maximum precipitation by 25.1–39.1 % and mean daily temperature by 3.1 °C to 4.5 °C, highlighting the potential for more intense climate-related events. These results emphasize the effectiveness of bias correction in reducing model biases and improving the reliability of the CPM climate projections, thereby supporting more reliable future high-resolution climate and hydrological impact assessments in England.

Competing interests: At least one of the (co-)authors is a member of the editorial board of Hydrology and Earth System Sciences.

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this paper. While Copernicus Publications makes every effort to include appropriate place names, the final responsibility lies with the authors. Views expressed in the text are those of the authors and do not necessarily reflect the views of the publisher.
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Qianyu Zha, Yi He, Timothy J. Osborn, and Nicole Forstenhäusler

Status: open (until 17 Nov 2025)

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Qianyu Zha, Yi He, Timothy J. Osborn, and Nicole Forstenhäusler

Data sets

Bias-Corrected UKCP18 Convection-Permitting Model (CPM) Projections of Precipitation and Temperature Using Non-Parametric Quantile Mapping Qianyu Zha et al. https://zenodo.org/records/16213003

Qianyu Zha, Yi He, Timothy J. Osborn, and Nicole Forstenhäusler

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Short summary
We present bias-corrected data from the UK Climate Projections 2018 convection-permitting model at 1 km resolution for England. Hourly precipitation and daily temperature from four ensemble members were corrected using empirical quantile mapping. The bias-corrected data better reproduce observed patterns and extremes, supporting more reliable high-resolution climate and hydrological impact assessments in England.
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