Experimental investigation of turbulent transport of momentum and heat in the atmospheric surface layer

Based on the synchronous multi-point temperature data measured at different streamwise positions with the application of distributed temperature sensing, a field investigation on the applicability of Taylor's frozen hypothesis and elliptic model was performed in the atmospheric surface layer (ASL). In this work, several important spatial statistical functions of temperature field, such as longitudinal space-time correlation ( C TT( r, t)), space correlation ( RTT( r)), normalized second-order structure function (<Δ T+2( r)>), and wavenumber spectrum ( ΦTT( k)) of temperature fluctuations were directly measured in the ASLs. By comparing the directly measured spatial statistical functions with the predicted results, our study indicates that both Taylor's frozen hypothesis and elliptic model are applicable in the near-neutral and stable ASLs when turbulence level is low. However, only elliptic model is substantially accurate in the unstable ASL when turbulence level is high. The elliptic model can relate CTT( r, t) to RTT( rE), where rE = (( r− Ueτ)2+( Veτ)2)1/2, Ue is the convection velocity, and Ve is the sweeping velocity. With the application of Ue and Ve, RTT( r), <Δ T+2( r)> , and Φ TT( k) can be estimated by elliptic model in the near-neutral, unstable, and stable ASLs.

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Experimental investigation of turbulent transport of momentum and heat in the atmospheric surface layer

Cited by 2 publications

References 37 publications

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Katabatic Flow Structures Indicative of the Flux Dissimilarity for Stable Stratification

Applicability of Taylor's frozen hypothesis and elliptic model in the atmospheric surface layer

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