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Detection of long-term coherent exchange over spruce forest using wavelet analysis

Title data

Thomas, Christoph ; Foken, Thomas:
Detection of long-term coherent exchange over spruce forest using wavelet analysis.
In: Theoretical and Applied Climatology. Vol. 80 (2005) Issue 2-4 . - pp. 91-104.
ISSN 1434-4483
DOI: https://doi.org/10.1007/s00704-004-0093-0

Abstract in another language

This study presents a discussion of a method for automated and quasi-online analysis of coherent structures using wavelet transform. The method is optimised for rapid processing of vector and scalar variables obtained over tall vegetation. It has been designed to assess long-term statistics of coherent structures, as it is applicable over a wide range of atmospheric conditions. Data of artificial and real turbulent signals are used to perform the analysis and to evaluate the presented method. Different wavelet functions are used for filtering the original signals, determining characteristic time scales, and detecting individual coherent structures. On this basis, statistics of temporal separation of coherent structures and phase shift between different variables can be calculated.'Background' turbulence and spikes are found to be efficiently removed without changing the shape, particularly the sharp localised gradients, of coherent structures. The determined peak in the calculated wavelet variance spectrum is observed to correspond very well to characteristic event durations and to satisfy the definition of coherent structures present in vector and scalar variables. The detection algorithm was successful in analysing data covering a wide range of atmospheric conditions. Detected individual coherent structures provide a parallel temporal pattern for scalar variables, but a phase shift between scalar and vector components.

Further data

Item Type: Article in a journal
Refereed: Yes
Additional notes: BAYCEER23367
Institutions of the University: Faculties > Faculty of Biology, Chemistry and Earth Sciences > Department of Earth Sciences > Professor Micrometeorology
Research Institutions > Central research institutes > Bayreuth Center of Ecology and Environmental Research- BayCEER
Faculties > Faculty of Biology, Chemistry and Earth Sciences > Department of Earth Sciences > Professor Micrometeorology > Professor Micrometeorology - Univ.-Prof. Dr. Christoph K. Thomas
Faculties
Faculties > Faculty of Biology, Chemistry and Earth Sciences
Faculties > Faculty of Biology, Chemistry and Earth Sciences > Department of Earth Sciences
Research Institutions
Research Institutions > Central research institutes
Result of work at the UBT: No
DDC Subjects: 500 Science
Date Deposited: 24 Apr 2015 11:56
Last Modified: 10 Jul 2023 09:19
URI: https://eref.uni-bayreuth.de/id/eprint/11452