EGU23-5385, updated on 07 Jan 2024
EGU General Assembly 2023
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Gaps in Attribution for the Next UK Climate Change Risk Assessment

Richard Betts1,2, Regan Mudhar3,4, Dann Mitchell4, and Peter Stott1,3
Richard Betts et al.
  • 1Met Office Hadley Centre, Exeter, UK
  • 2Global Systems Institute, University of Exeter, Exeter, UK
  • 3Department of Mathematics and Statistics, University of Exeter, Exeter, UK
  • 4School of Geographical Sciences, University of Bristol, Bristol, UK

We will present findings from a comprehensive review of the detection and attribution of climate change in the UK, including both recent and past events within the observation record. We will highlight where there are notable gaps, including those that can and cannot be closed with existing data and/or attribution techniques.

This systematic review of detection and attribution literature will feed into a report, with a database of supporting evidence, to inform the Climate Change Committee’s upcoming UK Climate Change Risk Assessment. The first part of the review will cover the detection and attribution of weather and climate changes in the UK, relevant to specific Climate Impact Drivers, while the second will cover societal, infrastructural, economic, and biodiversity impacts associated with these. As part of this, we will identify variables which are key drivers of multiple impacts, and, importantly, where further attribution analysis is needed, especially when the impacts are critical for UK risk.

How to cite: Betts, R., Mudhar, R., Mitchell, D., and Stott, P.: Gaps in Attribution for the Next UK Climate Change Risk Assessment, EGU General Assembly 2023, Vienna, Austria, 23–28 Apr 2023, EGU23-5385,, 2023.