References

Nieuwstadt, F. T. M.; Dop, H. van

doi:10.1007/978-94-010-9112-1_9

Cited by 8 publications

(9 citation statements)

References 170 publications

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“…(1) and (2)) becomes local scaling if the heat flux and stress at level z are significantly different from the surface values (Nieuwstadt 1984). When the instrument at level z is in the surface layer, MoninObukhov surface-layer scaling and local scaling are approximately the same.…”

Section: Monin-obukhov Similarity Theorymentioning

confidence: 99%

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

Klipp

Mahrt

2004

Quart J Royal Meteoro Soc

156

146

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SUMMARYThe correlation between dimensionless shear φ m and dimensionless height z/L, where L is the Obukhov length, for stable conditions is strongly influenced by self-correlation for the present datasets. This effect is quite large for stronger stability but still significant for near-neutral conditions. A conditional analysis of nocturnal stable boundary-layer data, where 'non-turbulent' parts of the record are removed, reduces the impact of nonstationarity and therefore reduces the scatter. The conditional analysis also reduces the relative importance of self-correlation. Difficulties with estimating self-correlation are also discussed.

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Section: Monin-obukhov Similarity Theorymentioning

confidence: 99%

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

Klipp

Mahrt

2004

Quart J Royal Meteoro Soc

156

146

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“…For the analysis, we have chosen the rather simple model equation containing the parameters measurable by a sodar. For convective PBL, it has the following form [4]:…”

Section: Resultsmentioning

confidence: 99%

“…is the countergradient. According to [4], L is the characteristic size of main energy-carrying vortices, while K is…”

Section: Resultsmentioning

confidence: 99%

Comparison of experimental and model estimates of vertical turbulent heat fluxes in the atmospheric surface layer

Odintsov,

Gladkikh,

Kamardin

et al. 2023

29th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics

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“…This issue is touched below. For the analysis, we use the equation for evolution of the temperature variance in the following form [15]:…”

Section: Introductionmentioning

confidence: 99%

Turbulent flows of temperature variance in the atmospheric surface layer

Gladkikh,

Nevzorova,

Odintsov

2023

29th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics

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The turbulence characteristics that determine changes in the air temperature variance in the atmospheric surface layer are considered. The main experimental material for the analysis was obtained with a sonic weather station set in the atmospheric surface layer (10 m) at a territory with natural landscape. Some episodes observed in the summer and winter seasons are analyzed. It is found that the flows of temperature variance decrease markedly in winter as compared to summer. A pronounced diurnal profile of the studied characteristic was observed in summer and absent in winter.

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References

Cited by 8 publications

References 170 publications

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

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

Comparison of experimental and model estimates of vertical turbulent heat fluxes in the atmospheric surface layer

Turbulent flows of temperature variance in the atmospheric surface layer

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