EGU23-15434
https://doi.org/10.5194/egusphere-egu23-15434
EGU General Assembly 2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Large-ensemble forecast-based extreme event attribution

Matthias Aengenheyster1, Nicholas Leach1,2, Sarah Sparrow3, and Myles Allen4
Matthias Aengenheyster et al.
  • 1Atmospheric, Oceanic and Planetary Physics, University of Oxford, Oxford, United Kingdom (matthias.aengenheyster@wolfson.ox.ac.uk)
  • 2Climate X, London, United Kingdom
  • 3Oxford e-Research Centre, Engineering Science, University of Oxford, Oxford, United Kingdom
  • 4Environmental Change Institute, School of Geography and the Environment, University of Oxford, Oxford, United Kingdom

How to cite: Aengenheyster, M., Leach, N., Sparrow, S., and Allen, M.: Large-ensemble forecast-based extreme event attribution, EGU General Assembly 2023, Vienna, Austria, 24–28 Apr 2023, EGU23-15434, https://doi.org/10.5194/egusphere-egu23-15434, 2023.

This abstract has been withdrawn on 17 Apr 2023.