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https://doi.org/10.1117/12.264...
Article . 2022 . Peer-reviewed
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Parametric estimates of the kinetic energy in the atmospheric boundary layer from minisodar measurements

Authors: Simakhin, V. A.; Potekaev, Aleksandr I.; Cherepanov, O. S.; Shamanaeva, Luidmila G.;

Parametric estimates of the kinetic energy in the atmospheric boundary layer from minisodar measurements

Abstract

In the present work, the kinetic energy of wind outliers taken to mean wind velocity values exceeding a preset value and including wind gusts are compared with the mean wind kinetic energy component retrieved from minisodar measurements using the robust parametric algorithm proposed by the authors. Allowance for the contribution of the wind outliers in the parametric estimates of the wind kinetic energy enables its fine structure to be determined and its effect on light flying objects, high-rise buildings, bridges to be estimated and the energy potentials of wind turbines to be evaluated.

Country
Russian Federation
Keywords

кинетическая энергия ветрового потока, пограничный слой атмосферы, кинетическая энергия, кинетическая энергия турбулентности, робастные оценки

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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).
BIP!Citations provided by BIP!
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!
0
Average
Average
Average
Green