Articles | Volume 7, issue 1
https://doi.org/10.5194/wcd-7-475-2026
https://doi.org/10.5194/wcd-7-475-2026
Research article
 | 
09 Mar 2026
Research article |  | 09 Mar 2026

Detection and global climatology of two types of spatio-temporal clustering of extratropical cyclones

Chris Weijenborg and Thomas Spengler

Model code and software

Dynlib: A library of diagnostics, feature detection algorithms, plotting and convenience functions for dynamic meteorology C. Spensberger https://doi.org/10.5281/zenodo.10471187

Dynlib: A library of diagnostics, feature detection algorithms, plotting and convenience functions for dynamic meteorology C. Spensberger https://doi.org/10.5281/zenodo.4639624

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Short summary
The swift succession of storms, referred to as cyclone clustering, is often associated with weather extremes. We introduce a detection scheme for these events and subdivide these into two types. One type is associated with storms that follow each other in space, whereas the other type requires a proximity over time. Cyclone clustering is more frequent during winter and the first type is associated with stronger storms, suggesting that the two types emerge due to different mechanisms.
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