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Hyperbolic lines and the stratospheric polar vortex
Tieh-Yong Koh1, Bernard Legras
1Laboratoire de Meteorologie Dynamique UMR8539, 24 Rue Lhomond, 75231 Paris Cedex 5, France.
Chaos (Woodbury, N.Y.)
|June 5, 2003
Summary
Rigorous conditions for Lagrangian hyperbolicity fail to detect stratospheric structures. Nonrigorous methods like the finite-size Lyapunov exponent (FSLE) show promise for understanding chaotic mixing in atmospheric flows.
Area of Science:
- Geophysical Fluid Dynamics
- Atmospheric Science
- Dynamical Systems
Background:
- Lagrangian hyperbolicity conditions are crucial for understanding fluid flow dynamics.
- Previous studies focused on rigorous mathematical conditions for identifying hyperbolic and elliptic structures.
Purpose of the Study:
- To review and apply recent mathematical conditions for Lagrangian hyperbolicity to stratospheric circulation.
- To compare rigorous conditions with phenomenological and nonrigorous methods for detecting coherent structures.
Main Methods:
- Review of necessary and sufficient conditions for Lagrangian hyperbolicity.
- Application of these conditions to southern hemisphere winter stratospheric wind data (ECMWF).
- Comparison with phenomenological criteria and finite-size Lyapunov exponents (FSLE).
Main Results:
- Rigorous conditions for hyperbolicity were found to be too restrictive (sufficient) or too permissive (necessary) for stratospheric data.
- Phenomenological criteria and FSLE successfully identified hyperbolic structures and elliptic coherent structures (ECS) barriers.
- The sufficient condition for Lagrangian ellipticity was too weak to detect ECS like the polar vortex.
Conclusions:
- Rigorous mathematical conditions for Lagrangian hyperbolicity and ellipticity are insufficient for analyzing stratospheric dynamics.
- Nonrigorous methods, particularly FSLE, show potential for identifying chaotic mixing and coherent structures in geophysical flows.
- Further theoretical work is needed to reconcile rigorous and nonrigorous approaches for a complete kinematic understanding.