Dynamical Properties of Weather Regime Transitions

Abstract Large-scale weather can often be successfully described using a small amount of patterns. A statistical description reanalysed pressure fields identifies these recurring patterns with clusters in state-space, also called “regimes”. Recently, regimes have been through instantaneous, local indicators dimension and persistence, borrowed from dynamical systems theory extreme value theory. Using similar going further, we focus here on regime transitions. We use 60 years winter-time sea-level reanalysis data centered the North-Atlantic ocean western Europe. These experiments reveal regime-dependent behaviours persistence near transitions, although average one observes an increase decrease The effect transition is stronger lasts longer than dimension. findings confirm relevance such for study large-scale regimes, their potential to used both understanding detection