Covariant Lyapunov Vectors of a Quasi-geostrophic Baroclinic Model: Analysis of Instabilities and Feedbacks
Sebastian Schubert (1, 2), Valerio Lucarini (2, 3) ((1) IMPRS -, ESM, MPI f. Meteorology, University Of Hamburg, Hamburg, Germany, (2), Meteorological Institute, CEN, University Of Hamburg, Hamburg, Germany, (3), Department of Mathematics, Statistics, University of Reading

TL;DR
This paper extends classical atmospheric stability analysis using covariant Lyapunov vectors to study non-linear, turbulent quasi-geostrophic flows, revealing detailed instability mechanisms and energy exchanges in different turbulence regimes.
Contribution
It introduces the use of covariant Lyapunov vectors for analyzing non-linear atmospheric flow instabilities, providing new insights into energy exchanges and mode structures.
Findings
CLVs reveal the directions of exponential growth and decay in flow perturbations.
Baroclinic conversion rates are necessary but not sufficient for instability.
Certain CLVs with positive baroclinic conversion can inform reduced atmospheric models.
Abstract
The classical approach for studying atmospheric variability is based on defining a background state and studying the linear stability of the small fluctuations around such a state. Weakly non-linear theories can be constructed using higher order expansions terms. While these methods have undoubtedly great value for elucidating the relevant physical processes, they are unable to follow the dynamics of a turbulent atmosphere. We provide a first example of extension of the classical stability analysis to a non-linearly evolving quasi-geostrophic flow. The so-called covariant Lyapunov vectors (CLVs) provide a covariant basis describing the directions of exponential expansion and decay of perturbations to the non-linear trajectory of the flow. We use such a formalism to re-examine the basic barotropic and baroclinic processes of the atmosphere with a quasi-geostrophic beta-plane two-layer…
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Taxonomy
TopicsClimate variability and models · Meteorological Phenomena and Simulations · Oceanographic and Atmospheric Processes
