1997
DOI: 10.1023/a:1000210427798
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Multiresolution Flux Decomposition

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Cited by 158 publications
(125 citation statements)
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“…Figure 4 shows the multiresolution spectra of horizontal and vertical velocities at the rooftop and sidewalk sites for 2 days starting from 0000 LST 25 June. The multiresolution spectrum analysis enables the decomposition of non-periodic time series, and the fast Haar transform algorithm used for the multiresolution decomposition requires less computation time than the fast Fourier transform (Howell and Mahrt 1997;Vickers and Mahrt 2003). occurred after 1500−1600 LST throughout the whole period.…”
Section: Measurement Sites and Weather Synopsismentioning
confidence: 99%
“…Figure 4 shows the multiresolution spectra of horizontal and vertical velocities at the rooftop and sidewalk sites for 2 days starting from 0000 LST 25 June. The multiresolution spectrum analysis enables the decomposition of non-periodic time series, and the fast Haar transform algorithm used for the multiresolution decomposition requires less computation time than the fast Fourier transform (Howell and Mahrt 1997;Vickers and Mahrt 2003). occurred after 1500−1600 LST throughout the whole period.…”
Section: Measurement Sites and Weather Synopsismentioning
confidence: 99%
“…Spectra and co-spectra for the indicated variables from 70 daytime 30 min periods (for the 25% of periods with the highest aerosol concentrations during BEARPEX). The variances and covariances (and their normalized values) that are presented on the Yaxes were calculated using the multiresolution decomposition methods described by Howell and Mahrt (1997) and Vickers and Mahrt (2003).…”
Section: Spectra and Co-spectramentioning
confidence: 99%
“…Since the structures in the time series are generally local and not periodic, we orthogonally decompose the flow into the local multiresolution basis set (e.g., Howell and Mahrt 1997). Fourier decomposition into sinusoidal functions is most suitable for periodic phenomena such as monotonic gravity wave trains while events such as individual microfronts and solitions are more appropriately represented by local basis sets.…”
Section: Decomposition In Timementioning
confidence: 99%