Multiresolution flux decomposition

Geophysical variables are orthogonally decomposed by averaging timeseries using different averaging lengths, referred to as a (Haar)multiresolution decomposition. This simple and economic decomposition isassociated with cospectra that formally satisfy Reynolds averaging rules foreach averaging lengt...

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Bibliographic Details
Published in:Boundary-layer meteorology 1997-04, Vol.83 (1), p.117-137
Main Authors: HOWELL, J. F, MAHRT, L
Format: Article
Language:English
Subjects:
Convection, turbulence, diffusion. Boundary layer structure and dynamics
Decomposition
Earth, ocean, space
Exact sciences and technology
External geophysics
Meteorology
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Summary:Geophysical variables are orthogonally decomposed by averaging timeseries using different averaging lengths, referred to as a (Haar)multiresolution decomposition. This simple and economic decomposition isassociated with cospectra that formally satisfy Reynolds averaging rules foreach averaging length. The multiresolution decomposition provides a naturalestimate of the random error in estimating a mean turbulent flux. The Fourierand multiresolution decompositions are compared using aircraft data fromBOREAS. [PUBLICATION ABSTRACT]
ISSN:0006-8314
1573-1472
DOI:10.1023/A:1000210427798