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The dynamical footprint of year-round North American weather regimes

Simon H. Lee, Gabriele Messori*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Weather regimes have been defined over multiple regions and used in a range of practical applications, including subseasonal-to-seasonal forecasting and climate model evaluation. Despite their widespread use, the extent to which regimes reflect physical modes of the atmosphere is seldom investigated. Here, we adopt a year-round classification of four North American weather regimes, with a fifth “no regime” class, and leverage dynamical systems theory to investigate their dynamical properties. We find that when the atmospheric flow is assigned to a regime, it displays persistent characteristics and a lifecycle-like temporal evolution. We further find that, regardless of season, these characteristics are enhanced when the atmospheric flow displays a comparatively strong projection onto the cluster-mean of the regime to which it is assigned (while the reverse is true for a weaker projection). We interpret these results as evidence that the four North American weather regimes are physically-meaningful, with a clear dynamical footprint.
Original languageEnglish
Article numbere2023GL107161
Number of pages10
JournalGeophysical Research Letters
Volume51
Issue number2
Early online date12 Jan 2024
DOIs
Publication statusPublished - 28 Jan 2024

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 13 - Climate Action
    SDG 13 Climate Action

Keywords

  • Weather regimes
  • North America
  • Dynamical systems

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