Flux–gradient relationship, self‐correlation and intermittency in the stable boundary layer

Klipp, Cheryl; Mahrt, L.

doi:10.1256/qj.03.161

Cited by 156 publications

(153 citation statements)

References 31 publications

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“…This indicates that, although the analysis is not dominated by self-correlation, it is not insignificant at Høvsøre. The degree of self-correlation at Høvsøre is comparable to that estimated using data from the CASES-99 field experiment (Klipp and Mahrt 2004).…”

Section: Surface Layersupporting

confidence: 72%

Ten Years of Boundary-Layer and Wind-Power Meteorology at Høvsøre, Denmark

Peña

Floors

Sathe

et al. 2015

Boundary-Layer Meteorol

100

103

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Operational since 2004, the National Centre for Wind Turbines at Høvsøre, Denmark has become a reference research site for wind-power meteorology. In this study, we review the site, its instrumentation, observations, and main research programs. The programs comprise activities on, inter alia, remote sensing, where measurements from lidars have been compared extensively with those from traditional instrumentation on masts. In addition, with regard to wind-power meteorology, wind-resource methodologies for wind climate extrapolation have been evaluated and improved. Further, special attention has been given to research on boundary-layer flow, where parametrizations of the length scale and wind profile have been developed and evaluated. Atmospheric turbulence studies are continuously conducted at Høvsøre, where spectral tensor models have been evaluated and extended to account for atmospheric stability, and experiments using microscale and mesoscale numerical modelling.

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Section: Surface Layersupporting

confidence: 72%

Ten Years of Boundary-Layer and Wind-Power Meteorology at Høvsøre, Denmark

Peña

Floors

Sathe

et al. 2015

Boundary-Layer Meteorol

100

103

View full text Add to dashboard Cite

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“…The data scatter is large, rendering it impossible to determine γ and δ with a fair degree of accuracy. It should be noted that the dependences shown in Figures 1 and 2 may be subject to self-correlation (Klipp and Mahrt, 2004); f appears in the numerator of h|f |/u * and in the denominator of u * / C uN L|f | + N/|f |. An attempt to plot dimensional SBL depth h versus the composite stability parameter u * / C uN L|f | + N/|f | (not shown) does not reduce the data scatter.…”

Section: Datamentioning

confidence: 91%

On the limiting effect of the Earth's rotation on the depth of a stably stratified boundary layer

Mironov¹,

Fedorovich²

2010

Quart J Royal Meteoro Soc

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Simple dimensionality arguments are not sufficient to determine γ and δ. To do this would require an exact solution to equations governing the structure of mean fields and turbulence in the SBL. Since such a solution is not known, the exponents should be evaluated from experimental data. Available data from observations and from large-eddy simulations are uncertain. They do not make it possible to evaluate γ and δ to adequate accuracy and to decide conclusively between the alternative formulations for the SBL depth. As regards practical applications, previously proposed multi-limit formulations based on the above depth scales with γ and δ in the range from 0 to 1/2 are expected to give similar results for stability conditions typical of the atmospheric and oceanic SBLs, provided the disposable dimensionless coefficients in the multi-limit formulations are appropriately tuned. Copyright c 2010 Royal Meteorological SocietyKey Words: boundary layer; equilibrium depth; rotation; stable stratification

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“…Data affected by airflow distortion due to the anemometer booms at certain wind directions were also eliminated; the block-averaging interval for obtaining mean variables was 10 min. The wind velocity and temperature gradients were estimated using an approach described by Klipp and Mahrt (2004) and Sun (2011). The plots of the resulting similarity functions G t , G h , G w , G θ , for fluxes and variances, normalized by the gradient-based scales (13a, b) and (18a, b), are presented in Figs.…”

Section: Empirical Verificationmentioning

confidence: 99%

The Height Correction of Similarity Functions in the Stable Boundary Layer

Sorbjan

2011

Boundary-Layer Meteorol

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Empirical similarity functions of the Richardson number, obtained from bin-averaged data in the lower part of the stable boundary layer, show an undesired dependence on height at which the observations are collected. A correction of this flaw is proposed and tested by employing the neutral mixing length l o as a similarity scale for height. The function of height describing l o is assumed to be linear in the surface layer, and approaching a specified value with increasing height. The modification does not alter the dependence of similarity functions on the Richardson number, and is shown to be supported by the Cooperative Atmospheric-Surface Exchange Study-1999 (CASES-99) data.

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Flux–gradient relationship, self‐correlation and intermittency in the stable boundary layer

Cited by 156 publications

References 31 publications

Ten Years of Boundary-Layer and Wind-Power Meteorology at Høvsøre, Denmark

Ten Years of Boundary-Layer and Wind-Power Meteorology at Høvsøre, Denmark

On the limiting effect of the Earth's rotation on the depth of a stably stratified boundary layer

The Height Correction of Similarity Functions in the Stable Boundary Layer

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