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https://hdl.handle.net/10356/107097
Title: | Theory of the norm-induced metric in atmospheric dynamics | Authors: | Koh, Tieh-Yong Wan, F. |
Keywords: | DRNTU::Science::Geology | Issue Date: | 2015 | Source: | Koh, T.-Y., & Wan, F. (2015). Theory of the norm-induced metric in atmospheric dynamics. Atmospheric chemistry and physics, 15(5), 2571-2594. | Series/Report no.: | Atmospheric chemistry and physics | Abstract: | 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. | URI: | https://hdl.handle.net/10356/107097 http://hdl.handle.net/10220/25316 |
ISSN: | 1680-7324 | DOI: | 10.5194/acp-15-2571-2015 | Rights: | © Author(s) 2015. This work is distributed under the Creative Commons Attribution 3.0 License. | Fulltext Permission: | open | Fulltext Availability: | With Fulltext |
Appears in Collections: | EOS Journal Articles SPMS Journal Articles |
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Theory of the norm-induced metric in atmospheric dynamics.pdf | 2.59 MB | Adobe PDF | ![]() View/Open |
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