Application of Wavelet Cross-Correlation Analysis to a Plane Turbulent Jet.

Li, Hui; Nozaki, Tsutomu

doi:10.1299/jsmeb.40.58

Cited by 46 publications

(34 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Other results concerning wavelet variance estimators and applications can be found in Percival (1995), Percival and Mofjeld (1997), Poggie and Smits (1997), Li and Nozaki (1997), and Onorato et al (1997).…”

Section: Energy Repartition In the Wavelet Framementioning

confidence: 92%

See 1 more Smart Citation

Recent advances in wavelet analyses: Part 1. A review of concepts

Labat

2005

Journal of Hydrology

510

299

View full text Add to dashboard Cite

Section: Energy Repartition In the Wavelet Framementioning

confidence: 92%

“…Considering two correlated processes x(t) and y(t), the wavelet cross-correlation function noted WC XY (a,u) for a given scale a and a given time delay u can be defined as (Li and Nozaki, 1997):…”

Section: Wavelet Cross-correlationmentioning

confidence: 99%

Recent advances in wavelet analyses: Part 1. A review of concepts

Labat

2005

Journal of Hydrology

510

299

View full text Add to dashboard Cite

“…The method, described by Gao and Li (1995) and Li and Nozaki (1997), yields a unique solution (l, c, dir) for the whole analysis window and therefore requires a preliminary definition of this window, as in ordinary cross correlation. The method, described by Gao and Li (1995) and Li and Nozaki (1997), yields a unique solution (l, c, dir) for the whole analysis window and therefore requires a preliminary definition of this window, as in ordinary cross correlation.…”

Section: Identification and Analysis Of Structuresmentioning

confidence: 99%

Analysis of Gravity Waves Generated at the Top of a Drainage Flow

Viana

Terradellas

Yagüe

2010

Journal of the Atmospheric Sciences

View full text Add to dashboard Cite

Drainage or katabatic flows are common mesoscale circulations established as a result of differential radiative cooling of near-surface air masses in sloping terrain. The initial irruption of these flows, with sudden shifts in wind speed and direction, may result in vertical displacements of air parcels from their equilibrium position, which prove to be a common source of internal gravity waves. This paper illustrates this mechanism and describes the main features of the oscillations following the study of observational data gathered throughout one night during the Stable Atmospheric Boundary Layer Experiment in Spain 2006 (SABLES2006) field campaign. Pressure differences, measured by microbarometers set at different levels of a tower, help to interpret the evolution of other atmospheric variables, provide a detailed picture of the irruption of a drainage current, and reveal the formation of gravity waves at its top. The main parameters of the waves are derived from wavelet cross correlation of pressure time series, recorded by a surface array of microbarometers. The analysis yields, among other parameters, the horizontal component of the phase and group velocities of the gravity waves, which compare well with the velocity of irruption of the drainage current. Wavelet and other multiresolution techniques are also applied to sonic anemometer records to study the interaction between turbulence and larger-scale motions. The analysis shows evidence of heat flux divergence induced by the gravity waves, which may constitute a key factor for the vertical thermal profile in the nocturnal boundary layer (NBL) in situations of weak turbulence and important wave activity. FIG. 10. Vertical kinematic heat flux density per scale unit (K m s 22 ) at large time scales evaluated at z 5 96.6 m at different moments of the night showing wave activity. DECEMBER 2010 V I A N A E T A L .

show abstract

“…Though there are many mother wavelets used in practice, the Mexican hat wavelet, Gabor wavelet and Morlet wavelet are commonly used in the field of fluid mechanics (Hamdan et al, 1996;Li, 1997;Li and Nozaki, 1997;Kareem and Kijewski, 2002). The wavelet map is a graphical representation of W(s, b) of two variables s and b for a given mother wavelet.…”

Section: Wavelet Analysismentioning

confidence: 99%