FN Archimer Export Format
PT CHAP
TI Dynamical Properties of Weather Regime Transitions
BT Chapron Bertrand, Crisan Dan, Holm Darryl, Mémin Etienne, Radomska Anna (Eds.) (2023). Stochastic Transport in Upper Ocean Dynamics. STUOD 2021 Workshop, London, UK, September 20-23. Springer International Publishing. ISBN 978-3-031-18987-6. Part of the Mathematics of Planet Earth book series (MPE,volume 10), pp.223-236
AF Platzer, Paul
   Chapron, Bertrand
   Tandeo, Pierre
AS 1:1;2:1;3:2;
FF 1:PDG-ODE-LOPS-SIAM;2:PDG-ODE-LOPS-SIAM;3:;
C1 Laboratoire d’Océanographie Physique et Spatiale (LOPS), Ifremer, Plouzané, France
   Lab-STICC, UMR CNRS 6285, IMT Atlantique, Plouzané, France
C2 IFREMER, FRANCE
   IMT ATLANTIQUE, FRANCE
SI BREST
SE PDG-ODE-LOPS-SIAM
UM LOPS
UR https://archimer.ifremer.fr/doc/00813/92533/98793.pdf
LA English
DT Book section
AB Large-scale weather can often be successfully described using a small amount of patterns. A statistical description of reanalysed pressure fields identifies these recurring patterns with clusters in state-space, also called “regimes”. Recently, these weather regimes have been described through instantaneous, local indicators of dimension and persistence, borrowed from dynamical systems theory and extreme value theory. Using similar indicators and going further, we focus here on weather regime transitions. We use 60 years of winter-time sea-level pressure reanalysis data centered on the North-Atlantic ocean and western Europe. These experiments reveal regime-dependent behaviours of dimension and persistence near transitions, although in average one observes an increase of dimension and a decrease of persistence near transitions. The effect of transition on persistence is stronger and lasts longer than on dimension. These findings confirm the relevance of such dynamical indicators for the study of large-scale weather regimes, and reveal their potential to be used for both the understanding and detection of weather regime transitions. 
PY 2023
DI 10.1007/978-3-031-18988-3_14
ID 92533
ER

EF