Access the full text.
Sign up today, get DeepDyve free for 14 days.
E. Yee (1991)
Application of nonlinear dynamical systems analysis to conditionally sampled concentration fluctuations of a passive scalar in the atmospheric boundary layerBoundary-Layer Meteorology, 57
N. Dinar, H. Kaplan, M. Kleiman (1988)
Characterization of concentration fluctuations of a surface plume in a neutral boundary layerBoundary-Layer Meteorology, 45
K. Mylne, P. Mason (1991)
Concentration fluctuation measurements in a dispersing plume at a range of up to 1000 mQuarterly Journal of the Royal Meteorological Society, 117
B. Sawford (1987)
Conditional concentration statistics for surface plumes in the atmospheric boundary layerBoundary-Layer Meteorology, 38
J. C. Wyngaard (1973)
Workshop on Micrometeorology
E. Yee (1990)
The shape of the probability density function of short-term concentration fluctuations of plumes in the atmospheric boundary layerBoundary-Layer Meteorology, 51
THE PDF OF CONCENTRATION FLUCTUATIONS - COMMENTS ON YEE (1990) AND YEE (1991) (Correspondence) KENNETH R. MYLNE Meteorological Of/ice, Bracknell, U.K. (Received 26 February, 1992) 1. Introduction In recent years considerable efforts have been put into experimental studies of concentration fluctuations in dispersing plumes in the atmosphere. It is generally accepted that the most convenient statistical description of fluctuations is in the form of the probability density function (PDF) of concentration. Fluctuation sta- tistics are generally highly skewed, so that specification of the mean concentration (C) and standard deviation a, alone does not provide an adequate description. A number of standard forms of PDF have been proposed to describe concentration fluctuations, notably the log-normal, exponential and clipped normal distributions. Recent papers comparing these forms (Mylne and Mason, 1991; Dinar et al., 1988; Sawford, 1987) have suggested that the clipped-normal PDF provides the best agreement with measured fluctuations over a wide range of experimental con- ditions. This note is concerned with the conclusions of another recent paper, Yee (1990), which proposes an alternative - the g- and h-distribution. Yee claims that this function provides a superior fit to experimental data, especially in the extreme upper tails of the distribution. In
Boundary-Layer Meteorology – Springer Journals
Published: Jul 19, 2005
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.