$\mathcal{L}$-moments reveal the scales of momentum transport in dense canopy flows
Subharthi Chowdhuri, Olli Peltola

TL;DR
This paper introduces an $\\mathcal{L}$-moment based framework combined with wavelet analysis to better understand momentum transport processes in dense canopy flows, revealing a mixed time scale and explaining turbulence characteristics.
Contribution
It develops a novel $\mathcal{L}$-moment framework for analyzing canopy turbulence, providing new insights into eddy processes and momentum exchange mechanisms.
Findings
Identification of a mixed time scale controlling momentum exchange.
Explanation of increased vertical velocity timescale near the forest floor.
Insight into the intermittent wind behavior inside canopies.
Abstract
The interaction between a dense forest canopy and atmosphere is a complex fluid-dynamical problem with a wide range of practical applications, spanning from the aspects of carbon sequestration to the spread of wildfires through a forest. To delineate the eddy processes specific to canopy flows, we develop an -moment based event framework and apply it on a suite of observational datasets encompassing both canopy and atmospheric surface layer flows. In this framework, the turbulent fluctuations are considered as a chronicle of positive and negative events having finite lengths or time scales, whose statistical distributions are quantified through the moments. moments are statistically more robust than the conventional moments and have earlier been used in hydrology applications, but here we show how this concept is useful even for canopy flows. The…
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Taxonomy
TopicsFluid Dynamics and Turbulent Flows · Meteorological Phenomena and Simulations · Solar and Space Plasma Dynamics
