Atmospheric blockings are among the most frequently studied weather patterns. They not only cause extreme weather events and associated losses but also significantly influence general weather variability.

Various definitions and identification methods for atmospheric blockings are currently applied, which can lead to inconsistent results and confusion. While all approaches are valid and justified, the precise differences between these definitions and their implications often remain unclear.

This study examines widely used blocking algorithms and aims to clarify the differences in dynamical and synoptic conditions between these.