%0 doctoral thesis
%@ 
%A van Garderen, L.

%D 2022
%J 

 

%T Climate change attribution of extreme weather events using spectrally nudged event storylines
%U 
 
%X Spectrally nudged event storylines provide both a continuous and specific event attribution by enabling a robust separation of climate change from natural variability on small temporal and spatial scales. The drought example proves the method is capable of distinguishing between opposing climate signals on different time scales. The method is widely applicable as it is not limited to the technical setup presented here, which means a convection permitting model can be included to enable accurate attribution of local precipitation extremes. Moreover, the ensemble size required for robust results is small, reducing computational costs. The methodology has the great potential to be used for realistic stress testing of resilience strategies for climate impacts when coupled to an impact model. Furthermore, the spectrally nudged event storylines can be used for operationalising extreme event attribution, which until now has been difficult. In conclusion, the nudged global storyline method is an important step towards a holistic approach within the attribution of individual extreme events, which can quantify the role of both dynamical variability and known thermodynamic aspects of climate change, and the interplay between them.