Abstract
Abstract. Turbulence statistics such as flux-variance relationship are critical information in measuring and modeling ecosystem exchanges of carbon, water, energy, and momentum at the biosphere-atmosphere interface. Using a recently proposed mathematical technique, the Hilbert-Huang transform (HHT), this study highlights its possibility to quantify impacts of non-turbulent flows on turbulence statistics in the stable surface layer. The HHT is suitable for the analysis of non-stationary and intermittent data and thus very useful for better understanding the interplay of the surface layer similarity with complex nocturnal environment. Our analysis showed that the HHT can successfully sift non-turbulent components and be used as a tool to estimate the relationships between turbulence statistics and atmospheric stability in complex environments such as nocturnal stable boundary layer.
Highlights
The atmospheric surface layer is important despite its small portion in the total atmosphere because turbulent exchanges of carbon, water, energy, and momentum are significant in this layer
The likely impact of non-turbulent motions on surface layer scaling may be (1) the modification of the flux-variance and flux-gradient relationships; (2) significant contribution by turbulent transport terms in turbulence kinetic energy (TKE); and (3) heterogeneities in sources of momentum and scalars manifested by correlation coefficients among scalars and the vertical wind
The Hilbert-Huang transform (HHT) was superior to traditional data processing methods such that it better manifested intra-wave frequency modulation, nonstationarity and intermittency in signal
Summary
The atmospheric surface layer is important despite its small portion in the total atmosphere because turbulent exchanges of carbon, water, energy, and momentum are significant in this layer. The likely impact of non-turbulent motions on surface layer scaling may be (1) the modification of the flux-variance and flux-gradient relationships; (2) significant contribution by turbulent transport terms in turbulence kinetic energy (TKE); and (3) heterogeneities in sources of momentum and scalars manifested by correlation coefficients among scalars and the vertical wind.
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