Articles | Volume 17, issue 5
https://doi.org/10.5194/essd-17-2113-2025
https://doi.org/10.5194/essd-17-2113-2025
Data description paper
 | 
20 May 2025
Data description paper |  | 20 May 2025

Two sets of bias-corrected regional UK Climate Projections 2018 (UKCP18) of temperature, precipitation and potential evapotranspiration for Great Britain

Nele Reyniers, Qianyu Zha, Nans Addor, Timothy J. Osborn, Nicole Forstenhäusler, and Yi He

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Cited articles

Addor, N. and Seibert, J.: Bias Correction for Hydrological Impact Studies – beyond the Daily Perspective: INVITED COMMENTARY, Hydrol. Process., 28, 4823–4828, https://doi.org/10.1002/hyp.10238, 2014. a
Addor, N., Rohrer, M., Furrer, R., and Seibert, J.: Propagation of Biases in Climate Models from the Synoptic to the Regional Scale: Implications for Bias Adjustment: Circulation Biases in RCM Simulations, J. Geophys. Res.-Atmos., 121, 2075–2089, https://doi.org/10.1002/2015JD024040, 2016. a
Arnell, N. W., Kay, A. L., Freeman, A., Rudd, A. C., and Lowe, J. A.: Changing Climate Risk in the UK: A Multi-Sectoral Analysis Using Policy-Relevant Indicators, Climate Risk Management, 31, 100265, https://doi.org/10.1016/j.crm.2020.100265, 2021. a, b
Azmat, M., Qamar, M. U., Huggel, C., and Hussain, E.: Future climate and cryosphere impacts on the hydrology of a scarcely gauged catchment on the Jhelum river basin, Northern Pakistan, Sci. Total Environ., 639, 961–976, 2018. a
Bruyère, C. L., Done, J. M., Holland, G. J., and Fredrick, S.: Bias corrections of global models for regional climate simulations of high-impact weather, Clim. Dynam., 43, 1847–1856, https://doi.org/10.1007/s00382-013-2011-6, 2014. a
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We present bias-corrected UK Climate Projections 2018 (UKCP18) regional datasets for temperature, precipitation, and potential evapotranspiration (1981–2080). All 12 members of the 12 km ensemble were corrected using quantile mapping and a change-preserving variant. Both methods effectively reduce biases in multiple statistics while maintaining projected climatic changes. We provide guidance on using the bias-corrected datasets for climate change impact assessment.
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