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Software . 2022
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ZENODO
Software . 2022
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Ogive function for turbulent flux characterization

Authors: E. Cheynet;

Ogive function for turbulent flux characterization

Abstract

Ogive function for turbulent flux characterization Summary One method to compute the friction velocity knowing the along-wind and vertical turbulence components relies on the ogive function. For turbulence modelling, it is useful to ensure that the simulation duration is long enough to reduce the random error and to include all turbulent ranges. The present submission implements a simple ogive function model based on the semi-empirical model proposed by Kaimal et al. [1]. In the example file, it is fitted in the least square sense to the ogive function computed with simulated data. The output of the fitting is an estimate of the friction velocity. Content The submission contains: • The function ogiveFun.m computes the ogive from the cospectral estimate. • The function fitOgive.m that fits the analytical ogive model to the one estimated with the function ogiveFun.m. • A data file data.m containing time series of u and w • An interactive example file Example.mlx Any question or suggestion or comment is welcomed. References [1] Kaimal, J. C., Wyngaard, J. C. J., Izumi, Y., & Coté, O. R. (1972). Spectral characteristics of surface‐layer turbulence. Quarterly Journal of the Royal Meteorological Society, 98(417), 563-589.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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