2008
DOI: 10.1007/s10546-008-9328-4
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Scalar Concentration Profiles in the Canopy and Roughness Sublayer

Abstract: The mean flow and scalar concentration profiles within and above a tall canopy are well known to violate the standard boundary-layer flux-gradient relationships. We present a theory for the scalar concentration profile that is comprised of a canopy exchange model coupled to a modified surface-layer model. The coupling between the two components and the modifications to the surface-layer profiles are formulated through the mixing-layer analogy for the flow at canopy top. This analogy provides an additional leng… Show more

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Cited by 126 publications
(86 citation statements)
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“…The black filled cycles are the measurements and red open circles are the inferred concentrations by the "x/NO y " ratio method (For interpretation of the references to color in this figure legend, the reader is referred to the web version of this article.). atmospheric surface layer, it is only valid well above the rough surface (Högström, 1996) and fails in the so-called roughness sublayer, which is above tall canopies and within canopies (e.g., Harman and Finnigan, 2008). Simply adjusting parameters such as z 0 used in MOST may not solve this fundamental problem, and future work to improve the models will involve the use of vertically-varying profiles of mean scalar concentration (e.g., Harman and Finnigan, 2008) or a multi-layer canopy model that explicitly resolves the radiative, dynamical, and thermal transport within vegetation canopies.…”
Section: Evaluation Of Modeled V D (No Y )mentioning
confidence: 99%
“…The black filled cycles are the measurements and red open circles are the inferred concentrations by the "x/NO y " ratio method (For interpretation of the references to color in this figure legend, the reader is referred to the web version of this article.). atmospheric surface layer, it is only valid well above the rough surface (Högström, 1996) and fails in the so-called roughness sublayer, which is above tall canopies and within canopies (e.g., Harman and Finnigan, 2008). Simply adjusting parameters such as z 0 used in MOST may not solve this fundamental problem, and future work to improve the models will involve the use of vertically-varying profiles of mean scalar concentration (e.g., Harman and Finnigan, 2008) or a multi-layer canopy model that explicitly resolves the radiative, dynamical, and thermal transport within vegetation canopies.…”
Section: Evaluation Of Modeled V D (No Y )mentioning
confidence: 99%
“…This particular small hill, where vertical advection is significant, is likely to be an extreme case, however this 35 variability in the Schmidt number potentially makes modelling of tracer transport using mixing length closure schemes difficult. It would be possible to devise a scheme where Sc scaled with height to match results over flat ground, as done in Harman and Finnigan (2008), however these results suggest that even this approach might not be sufficient over hills. Having said all this it is then perhaps surprising that the tracer profiles from the one-and-a-half order model agree so well with those from the LES in figure 1.…”
Section: The Turbulent Schmidt Numbermentioning
confidence: 99%
“…There are also questions about the behaviour of the turbulent Schmidt number (the ratio of the turbulent diffusivities for momentum and scalars) within and just above the canopy (see e.g. Harman and Finnigan, 2008).…”
mentioning
confidence: 99%
“…Turbulent mixing is the fundamental driver in the exchange of mass, momentum and scalars between a forest canopy and the atmosphere (Finnigan et al, 2009;Harman and Finnigan, 2008). Quantifying these turbulent processes is necessary to understand the surface energy budget (Oncley et al, 2007), the global carbon budget (Law et al, 2002) and the fate of reactive trace gas species (Holzinger et al, 2005;Sörgel et al, 2011).…”
Section: Introductionmentioning
confidence: 99%