The Statistics of Oceanic Turbulence Measurements. Part II: Shear Spectra and a New Spectral Model

被引:4
|
作者
Lueck, Rolf G. [1 ]
机构
[1] Rockland Sci Inc, Victoria, BC, Canada
关键词
Data quality control; In situ oceanic observations; Measurements; MICROSTRUCTURE MEASUREMENTS; ENERGY;
D O I
10.1175/JTECH-D-21-0050.1
中图分类号
P75 [海洋工程];
学科分类号
0814 ; 081505 ; 0824 ; 082401 ;
摘要
This manuscript provides (i) the statistical uncertainty of a shear spectrum and (ii) a new universal shear spectrum, and (iii) shows how these are combined to quantify the quality of a shear spectrum. The data from four collocated shear probes, described in Part I, are used to estimate the spectra of shear, psi(k), for wavenumbers k & GE; 2 cpm, from data lengths of 1.0 to 50.5 m, using Fourier transform (FT) segments of 0.5 m length. The differences of the logarithm of pairs of simultaneous shear spectra are stationary, distributed normally, independent of the rate of dissipation, and only weakly dependent on wavenumber. The variance of the logarithm of an individual spectrum, sigma ln psi 2, equals one-half of the variance of these differences and is sigma ln psi 2=1.25Nf-7/9, where N-f is the number of FT segments used to estimate the spectrum. This term sigma(ln psi) provides the statistical basis for constructing the confidence interval of the logarithm of a spectrum, and thus, the spectrum itself. A universal spectrum of turbulence shear is derived from the nondimensionalization of 14 600 spectra estimated from 5 m segments of data. This spectrum differs from the Nasmyth spectrum and from the spectrum of Panchev and Kesich by 8% near its peak, and is approximated to within 1% by a new analytic equation. The difference between the logarithms of a measured and a universal spectrum, together with the confidence interval of a spectrum, provides the statistical basis for quantifying the quality of a measured shear (and velocity) spectrum, and the quality of a dissipation estimate that is derived from the spectrum.Significance StatementThe results reported here can be used to estimate the statistical uncertainty of a spectrum of turbulent shear or velocity that is derived from a finite number of discrete Fourier transform segments, and they can be used to quantify the quality of a spectrum.
引用
收藏
页码:1273 / 1282
页数:10
相关论文
共 50 条
  • [41] A new compressible turbulence model for free and wall-bounded shear layers
    Kim, J. Y.
    Park, S. O.
    ADVANCES IN TURBULENCE XII - PROCEEDINGS OF THE 12TH EUROMECH EUROPEAN TURBULENCE CONFERENCE, 2009, 132 : 963 - 963
  • [42] New compressible turbulence model for free and wall-bounded shear layers
    Kim, Joonyoung
    Park, Seung O.
    JOURNAL OF TURBULENCE, 2010, 11 (10): : 1 - 20
  • [43] New tool for shear wave velocity measurements in model tests
    Arulnathan, R
    Boulanger, RW
    Kutter, BL
    Sluis, WK
    GEOTECHNICAL TESTING JOURNAL, 2000, 23 (04): : 444 - 453
  • [44] Confined concrete with variable crack angle - Part II: shear friction model
    Kim, Yoo Jae
    Sriraman, Vedaraman
    Kotwal, Ashley
    You, Byung Hee
    MAGAZINE OF CONCRETE RESEARCH, 2014, 66 (19) : 967 - 974
  • [45] TURBULENCE AND HEAT TRANSFER MEASUREMENTS IN AN INCLINED LARGE SCALE FILM COOLING ARRAY - PART II, TEMPERATURE AND HEAT TRANSFER MEASUREMENTS
    Thurman, Douglas R.
    El-Gabry, Lamyaa A.
    Poinsatte, Philip E.
    Heidmann, James D.
    PROCEEDINGS OF THE ASME TURBO EXPO 2011, VOL 5, PTS A AND B, 2012, : 551 - 558
  • [46] Evaluation of pressure side film cooling with flow and thermal field measurements - Part II: Turbulence effects
    Cutbirth, JM
    Bogard, DG
    JOURNAL OF TURBOMACHINERY-TRANSACTIONS OF THE ASME, 2002, 124 (04): : 678 - 685
  • [47] Cirrus cloud microphysical property retrieval using lidar and radar measurements. Part II: Midlatitude cirrus microphysical and radiative properties
    Wang, Z
    Sassen, K
    JOURNAL OF THE ATMOSPHERIC SCIENCES, 2002, 59 (14) : 2291 - 2302
  • [48] Fine structure of cloud droplet concentration as seen from the fast-FSSP measurements. Part II: Results of in situ observations
    Pinsky, M
    Khain, A
    JOURNAL OF APPLIED METEOROLOGY, 2003, 42 (01): : 65 - 73
  • [49] MODELING SOLAR OSCILLATION POWER SPECTRA. II. PARAMETRIC MODEL OF SPECTRAL LINES OBSERVED IN DOPPLER-VELOCITY MEASUREMENTS
    Vorontsov, Sergei V.
    Jefferies, Stuart M.
    ASTROPHYSICAL JOURNAL, 2013, 778 (01):
  • [50] On-line monitoring of the evolution of number of particles in emulsion polymerization by conductivity measurements. II. Model validation
    Santos, AF
    Lima, EL
    Pinto, JC
    Graillat, C
    McKenna, TF
    JOURNAL OF APPLIED POLYMER SCIENCE, 2004, 91 (02) : 941 - 952