Influence of surface heterogeneity on scalar dissimilarity in the roughness sublayer |
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| Authors: | Christopher A Williams Todd M Scanlon John D Albertson |
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| Institution: | (1) Natural Resource Ecology Laboratory, Colorado State University, Fort Collins, CO 80523-1499, USA;(2) Department of Civil and Environmental Engineering, Duke University, Durham, NC 27708-0287, USA;(3) Department of Environmental Sciences, University of Virginia, Charlottesville, VA 22904-4123, USA |
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| Abstract: | While it is generally known that surface heterogeneity weakens the application of Monin–Obukhov similarity (MOS), few studies
have investigated how seasonal changes in the degree of surface heterogeneity at a particular site may influence the validity
of the similarity application. Exploiting seasonal changes in forest function associated with senescence, we conduct a unique
evaluation of the effects of surface heterogeneity on the validity of similarity theory at two sites through time. Using high
frequency (10 Hz) velocity and scalar time series collected within the roughness sublayer over mixed hardwood deciduous and
coniferous forests during both periods of peak leaf area and senescence of deciduous foliage, we examined conformity with
proposed universal flux-variance predictions and agreement amongst normalized standard deviations of different scalars (temperature,
water vapour and carbon dioxide concentrations). Normalized scalar standard deviations were elevated above MOS flux-variance
predictions, with more pronounced deviations observed during and following senescence, particularly in the case of CO2. Power-law scaling of normalized standard deviations as a function of stability was upheld and robust to seasonal changes
in surface heterogeneity. However, dissimilarity of normalized standard deviations for the scalars increased during senescence,
as heterogeneity in the source/sink field increased. Scalewise decomposition of scalar time series using wavelet analysis
indicated that correlations between scalars were conservative through much of the inertial cascade but decayed for eddies
< 10 m. Senescence lowered correlations between scalars over a wide range of eddy sizes. These results demonstrate how seasonal
changes in surface physiology can cause a temporal production of heterogeneity in the source/sink field, thus weakening similarity
applications in the roughness sublayer. |
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| Keywords: | Flux-variance prediction Monin– Obukhov similarity theory Scalar transport Wavelet analysis |
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