Semiparametric and semi-nonparametric estimates of the kinetic energy in the atmospheric boundary layer from minisodar measurements

Autor: V. A. Simakhin, A. I. Potekaev, O. S. Cherepanov, Liudmila G. Shamanaeva

Publikováno v: 28th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::2de9559a4492b71e66623236f3116daf
https://doi.org/10.1117/12.2644760

Influence of the averaging period on the characteristics of wind vector components retrieved from minisodar measurements

Autor: V.A. Simakhin, O.S. Cherepanov, Liudmila G. Shamanaeva

Publikováno v: 27th International Symposium on Atmospheric and Ocean Optics, Atmospheric Physics.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::2c8556045d45e17a52774986ca02845f
https://doi.org/10.1117/12.2603033

Diurnal Dynamics of the Umov Kinetic Energy Density Vector in the Atmospheric Boundary Layer from Minisodar Measurements

Autor: Liudmila G. Shamanaeva, Alexander Potekaev, N. P. Krasnenko

Publikováno v: Atmosphere, Vol 12, Iss 1347, p 1347 (2021)
Atmosphere
Volume 12
Issue 10
Atmosphere. 2021. Vol. 12, № 10. P. 1347 (1-11)

The diurnal hourly dynamics of the kinetic energy flux density vector, called the Umov vector, and the mean and turbulent components of the kinetic energy are estimated from minisodar measurements of wind vector components and their variances in the

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::40e2a4392da3fa51fba838ba635d5817
https://www.mdpi.com/2073-4433/12/10/1347

Semiparametric maximum likelihood estimates in problems of processing data of minisodar measurements in the ABL

Autor: V.A. Simakhin, Liudmila G. Shamanaeva

Publikováno v: 26th International Symposium on Atmospheric and Ocean Optics, Atmospheric Physics.

A method of determining semiparametric robust maximum likelihood estimates for a family of the Tukey distributions is suggested. The method can be used to obtain robust estimates of data comprising not only major, but also minor outliers. It is shown

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e0d6daf996541904d08cbaaee576fe00
https://doi.org/10.1117/12.2574403

Detection and selection of anomalous observations in acoustic sounding of wind velocity

Autor: Liudmila G. Shamanaeva, Oleg S. Cherepanov, V.A. Simakhin

Publikováno v: 25th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics.

Statistical analysis of minisodar measurements of vertical profiles of the first four moments of wind velocity components in the 5–200 meter atmospheric layer shows that this problem belongs to a class of robust nonparametric problems of mathematic

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::128e2d7aa7f9217755a1c9f77d8be573
https://doi.org/10.1117/12.2539938