A Functional Approach to Vertical Turbulent Transport of Scalars in the Atmospheric Surface Layer

被引:3
作者
Clement, Robert J. [1 ,2 ]
Moncrieff, John B. [1 ]
机构
[1] Univ Edinburgh, Sch Geosci, Edinburgh EH9 3FF, Midlothian, Scotland
[2] Exeter Univ, Coll Life & Environm Sci, Exeter EX4 4RJ, Devon, England
关键词
Eddy covariance; Flux response; Stationarity; Flux uncertainty; Functional covariance; FREQUENCY-RESPONSE CORRECTIONS; ENERGY-BALANCE CLOSURE; EDDY-COVARIANCE; FLUX MEASUREMENTS; TERM; LONG; PHOTOSYNTHESIS; ADVECTION; IMPROVE; STORAGE;
D O I
10.1007/s10546-019-00474-z
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
Eddy covariance has been the de facto method of analyzing scalar turbulent transport data. To refine the information available from these data, we derive a simplified version of the turbulent scalar-transport equation for the surface layer, which employs a more explicit form of signal decomposition and dispenses with Reynolds averaging in favour of an averaging operator based on the relevant scalar-flux driving variables. The resulting method, termed functional covariance, provides five areas of improvement in flux estimation: (i) Better representation of surface fluxes through closer correspondence of turbulent exchange with variations in the driving variables. (ii) An approximate 25% reduction in flux uncertainty resulting from improved independence of turbulent-flux samples. (iii) Improved data retention through less onerous quality control (stationarity) testing. (iv) Improved estimation of low-frequency flux contributions through reduced uncertainty and avoidance of driving-variable nonstationarity. (v) Potential elimination of flux-storage estimation when state driving-variables are used to define the functional-covariance flux averaging. We describe the important considerations required for application of functional covariance, apply both functional- and eddy-covariance methods to an example dataset, compare the resulting eddy- and functional-covariance estimates, and demonstrate the aforementioned benefits of functional covariance.
引用
收藏
页码:373 / 408
页数:36
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