von Lindheim, Johannes and Harikrishnan, A. P. and Dörffel, T. and Ernst, Natalia and Klein, R. and Koltai, Péter and Müller, Annette and Pacey, George and Polzin, Robert and Vercauteren, N. (2021) Definition, detection and tracking of persistent structures in atmospheric flows. preprint. J. Math. Phys. . pp. 1-64. (In Press)
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Official URL: https://doi.org/10.48550/arXiv.2111.13645
Abstract
Long-lived flow patterns in the atmosphere such as weather fronts, mid-latitude blockings or tropical cyclones often induce extreme weather conditions. As a consequence, their description, detection, and tracking has received increasing attention in recent years. Similar objectives also arise in diverse fields such as turbulence and combustion research, image analysis, and medical diagnostics under the headlines of “feature tracking”, “coherent structure detection” or “image registration” - to name just a few. A host of different approaches to addressing the underlying, often very similar, tasks have been developed and successfully used. Here, several typical examples of such approaches are summarized, further developed and applied to meteorological data sets. Common abstract operational steps form the basis for a unifying framework for the specification of “persistent structures” involving the definition of the physical state of a system, the features of interest, and means of measuring their persistence.
Item Type: | Article |
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Subjects: | Mathematical and Computer Sciences > Mathematics > Applied Mathematics |
Divisions: | Department of Mathematics and Computer Science > Institute of Mathematics > Geophysical Fluid Dynamics Group |
ID Code: | 2805 |
Deposited By: | Monika Drueck |
Deposited On: | 14 Mar 2022 15:18 |
Last Modified: | 02 Mar 2023 14:56 |
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