A physically-based turbulent velocity time series decomposition

Citation
Pl. Fuehrer et Ca. Friehe, A physically-based turbulent velocity time series decomposition, BOUND-LAY M, 90(2), 1999, pp. 241-295
Citations number
41
Categorie Soggetti
Earth Sciences
Journal title
BOUNDARY-LAYER METEOROLOGY
ISSN journal
00068314 → ACNP
Volume
90
Issue
2
Year of publication
1999
Pages
241 - 295
Database
ISI
SICI code
0006-8314(199902)90:2<241:APTVTS>2.0.ZU;2-N
Abstract
Single-point, three-component turbulent velocity time series data obtained in the atmospheric boundary layer over the ocean reveal coherent structures that are consistent with a model of a steady linearly varying spatial velo city field that translates past the measurement point at constant velocity. The kinematic model includes both strain and rotation rates and has implic ations regarding vortex generation, vortex pairing, vortex break-up, and st ability. While the complete specification of the dimensions, spatial veloci ty gradients, and translational velocity of the linear coherent structure ( LCS) cannot be made from the single-point, three-component measurements, th e model LCS velocity time series can be determined from least-squares fits to the data. The total turbulent kinetic energy is used to find in the reco rd the initial and final times of a model LCS in the data, i.e., the time i nterval over which a model LCS is passing over the anemometer. Maxima in th e kinetic energy removed from the data (by subtraction of the model LCS vel ocity functions from the data) are used to identify the most-energetic mode l LCSs. These model LCS velocity functions replicate the essential large-sc ale features of the time series of the three-component velocity fluctuation s, most noticeably in the streamwise component. The model LCS decomposition was used to perform a scale analysis of the data, which was compared to th e usual Fourier method. Time intervals of model LCSs were found successivel y in the data, after subtracting the previous fits. This process resulted i n a series of 'levels' with a number of LCSs found at each level. About six levels account for most of the kinetic energy. The model also allows the c omputation of the Reynolds stress components, for which six levels also are sufficient. The recomposition of the time series on a LCS-by-LCS basis com pares well with the mode-by-mode Fourier recomposition for the average mome ntum fluxes and kinetic energy.