Theory of the norm-induced metric in atmospheric dynamics

We suggest that some metrics for quantifying distances in phase space are based on linearized flows about unrealistic reference states and hence may not be applicable to atmospheric flows. A new approach of defining a norm-induced metric based on the total energy norm is proposed. The approach is b...

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Main Authors: T.-Y. Koh, F. Wan
Format: Article
Language:English
Published: Copernicus Publications 2015-03-01
Series:Atmospheric Chemistry and Physics
Online Access:http://www.atmos-chem-phys.net/15/2571/2015/acp-15-2571-2015.pdf
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spelling doaj-fe8ca5c286114acfa9a4132dcb6093812020-11-24T22:44:24ZengCopernicus PublicationsAtmospheric Chemistry and Physics1680-73161680-73242015-03-011552571259410.5194/acp-15-2571-2015Theory of the norm-induced metric in atmospheric dynamicsT.-Y. Koh0F. Wan1School of Physical and Mathematical Sciences, Nanyang Technological University, SingaporeSchool of Physical and Mathematical Sciences, Nanyang Technological University, SingaporeWe suggest that some metrics for quantifying distances in phase space are based on linearized flows about unrealistic reference states and hence may not be applicable to atmospheric flows. A new approach of defining a norm-induced metric based on the total energy norm is proposed. The approach is based on the rigorous mathematics of normed vector spaces and the law of energy conservation in physics. It involves the innovative construction of the phase space so that energy (or a certain physical invariant) takes the form of a Euclidean norm. The metric can be applied to both linear and nonlinear flows and for small and large separations in phase space. The new metric is derived for models of various levels of sophistication: the 2-D barotropic model, the shallow-water model and the 3-D dry, compressible atmosphere in different vertical coordinates. Numerical calculations of the new metric are illustrated with analytic dynamical systems as well as with global reanalysis data. The differences from a commonly used metric and the potential for application in ensemble prediction, error growth analysis and predictability studies are discussed.http://www.atmos-chem-phys.net/15/2571/2015/acp-15-2571-2015.pdf
collection DOAJ
language English
format Article
sources DOAJ
author T.-Y. Koh
F. Wan
spellingShingle T.-Y. Koh
F. Wan
Theory of the norm-induced metric in atmospheric dynamics
Atmospheric Chemistry and Physics
author_facet T.-Y. Koh
F. Wan
author_sort T.-Y. Koh
title Theory of the norm-induced metric in atmospheric dynamics
title_short Theory of the norm-induced metric in atmospheric dynamics
title_full Theory of the norm-induced metric in atmospheric dynamics
title_fullStr Theory of the norm-induced metric in atmospheric dynamics
title_full_unstemmed Theory of the norm-induced metric in atmospheric dynamics
title_sort theory of the norm-induced metric in atmospheric dynamics
publisher Copernicus Publications
series Atmospheric Chemistry and Physics
issn 1680-7316
1680-7324
publishDate 2015-03-01
description We suggest that some metrics for quantifying distances in phase space are based on linearized flows about unrealistic reference states and hence may not be applicable to atmospheric flows. A new approach of defining a norm-induced metric based on the total energy norm is proposed. The approach is based on the rigorous mathematics of normed vector spaces and the law of energy conservation in physics. It involves the innovative construction of the phase space so that energy (or a certain physical invariant) takes the form of a Euclidean norm. The metric can be applied to both linear and nonlinear flows and for small and large separations in phase space. The new metric is derived for models of various levels of sophistication: the 2-D barotropic model, the shallow-water model and the 3-D dry, compressible atmosphere in different vertical coordinates. Numerical calculations of the new metric are illustrated with analytic dynamical systems as well as with global reanalysis data. The differences from a commonly used metric and the potential for application in ensemble prediction, error growth analysis and predictability studies are discussed.
url http://www.atmos-chem-phys.net/15/2571/2015/acp-15-2571-2015.pdf
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