Return levels of extreme European windstorms, their dependency on the NAO, and potential future risks
- 1Department of Mathematics and Statistics, University of Exeter, Exeter, UK
- 2Met Office, Exeter, UK
European windstorms experience considerable interannual variability, which makes the quantification of extreme return periods challenging. Estimating 200-year return levels is also complicated by having only ~60 years of comprehensive observational data. Such estimations of return periods are often performed using ‘catastrophe models’, which use complex calibration and tuning processes. We have developed a reliable statistical model to estimate extreme windstorm gust speed return levels from only a multi-year sample of windstorm footprints without the need for the complexities associated with catastrophe models.
We have also been able to include variations of the NAO in our estimates, allowing for the generation of NAO-dependent return levels. Positive phases of the NAO result in larger return levels across the northwest of Europe. Additionally, the NAO is shown to be especially important for modulating low return period gusts, with the most extreme gusts occurring due to further stochastic processes. Using plausible future states of the NAO we also show that return levels have the potential to increase significantly in the next 100 years to rise well above historical uncertainty levels.
How to cite: Priestley, M., Stephenson, D., and Scaife, A.: Return levels of extreme European windstorms, their dependency on the NAO, and potential future risks, EGU General Assembly 2023, Vienna, Austria, 24–28 Apr 2023, EGU23-8138, https://doi.org/10.5194/egusphere-egu23-8138, 2023.