Climate Dynamics

, Volume 25, Issue 5, pp 461–476 | Cite as

Modelling the variability of midlatitude storm activity on decadal to century time scales

  • Irene Fischer-Bruns
  • H. von Storch
  • J. F. González-Rouco
  • E. Zorita


The output of several multi-century simulations with a coupled ocean–atmosphere general circulation model is examined with respect to the variability of global storm activity in winter on time scales of decades and longer. The frequency of maximum wind speed events within a grid box, using the lower limits on the Beaufort wind speed scale of 8 and 10 Bft as thresholds, is taken as the characteristic parameter. Two historical climate runs with time-dependent forcing of the last five centuries, one control simulation, and three climate change experiments are considered. The storm frequency shows no trend until recently. Global maps for the industrially influenced period hardly differ from pre-industrial maps, even though significant temperature anomalies temporarily emerge in the historical runs. Two indicators describing the frequency and the regional shift of storm activity are determined. In historical times they are decoupled from temperature. Variations in solar and volcanic forcing in the historical simulations as well as in greenhouse gas concentrations for the industrially influenced period are not related to variations in storm activity. Also, anomalous temperature regimes like the Late Maunder Minimum are not associated with systematic storm conditions. In the climate change experiments, a poleward shift of storm activity is found in all three storm track regions. Over the North Atlantic and Southern Ocean, storm activity increases, while it decreases over the Pacific Ocean. In contrast to the historical runs, and with the exception of the North Pacific storm frequency index, the storm indices parallel the development of temperature, exceeding the 2 σ-range of pre-industrial variations in the early twenty-first century.


Storm Track North Atlantic Ocean North Pacific Ocean Storm Activity Storm Frequency 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.



This work was partially funded by the ‘Sonderforschungsbereich’ (SFB) 512 sponsored by the ‘Deutsche Forschungsgemeinschaft’ (DFG) and by the KIHZ project of ‘Helmholtz-Gemeinschaft Deutscher Forschungszentren e.V.’ (HGF). The ECHAM4/HOPE-G was provided as community model by the Model & Data Group at the Max-Planck Institute for Meteorology. The model simulations have been integrated at the DKRZ climate computing center. We thank Reiner Schnur for helpful suggestions. Discussions with John Fyfe and George Boer were constructive and helpful as well. We gratefully acknowledge the help of Norbert Noreiks in adapting some of the figures.


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Copyright information

© Springer-Verlag 2005

Authors and Affiliations

  • Irene Fischer-Bruns
    • 1
  • H. von Storch
    • 2
    • 3
  • J. F. González-Rouco
    • 4
  • E. Zorita
    • 2
  1. 1.Max-Planck-Institute for MeteorologyHamburgGermany
  2. 2.Institute for Coastal Research, GKSS Research CentreGeesthachtGermany
  3. 3.Meteorological InstituteUniversity of Hamburg Germany
  4. 4.Dpt. Astrofisica y CC. AtmósferaUniversidad Complutense de Madrid Spain

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