Abstract
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.
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Howell, J.F., Mahrt, L. Multiresolution Flux Decomposition. Boundary-Layer Meteorology 83, 117–137 (1997). https://doi.org/10.1023/A:1000210427798
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DOI: https://doi.org/10.1023/A:1000210427798