EGU General Assembly 2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Drivers of biases in the extratropical storm tracks in CMIP6

Matthew Priestley1, Duncan Ackerley2, Jennifer Catto1, Kevin Hodges3, Ruth McDonald2, and Robert Lee3
Matthew Priestley et al.
  • 1College of Engineering, Mathematics, and Physical Sciences, University of Exeter, Exeter, UK (
  • 2Met Office, Exeter, UK
  • 3NCAS and Department of Meteorology, University of Reading, Reading, UK

Extratropical cyclones are the leading driver of the day-to-day weather variability and wintertime losses for Europe. In the latest generation of coupled climate models, CMIP6, it is hoped that with improved modelling capabilities come improvements in the structure of the storm track and the associated cyclones. Using an objective cyclone identification and tracking algorithm the mean state of the storm tracks in the CMIP6 models is assessed as well as the representation of explosively deepening cyclones. Any developments and improvements since the previous generation of models in CMIP5 are discussed, with focus on the impact of model resolution on storm track representation. Furthermore, large-scale drivers of any biases are investigated, with particular focus on the role of atmosphere-ocean coupling via associated AMIP simulations and also the influence of large-scale dynamical and thermodynamical features.

How to cite: Priestley, M., Ackerley, D., Catto, J., Hodges, K., McDonald, R., and Lee, R.: Drivers of biases in the extratropical storm tracks in CMIP6, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-9745,, 2020

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