| Issue |
ITM Web Conf.
Volume 24, 2019
AMCSE 2018 - International Conference on Applied Mathematics, Computational Science and Systems Engineering
|
|
|---|---|---|
| Article Number | 01011 | |
| Number of page(s) | 6 | |
| Section | Communications-Systems-Signal Processing | |
| DOI | https://doi.org/10.1051/itmconf/20192401011 | |
| Published online | 01 February 2019 | |
Windshear Identification Algorithms by Doppler Pulse Lidar
1
Dorodnicyn Computing Centre, Federal Research Center “Computer Science and Control” of Russian Academy of Sciences, Moscow, Russia
2
International Aero Navigation Systems Concern, JSC. Moscow, Russia
* Corresponding author: baranov@ians.aero
Doppler pulse lidars are increasingly common as a tool for monitoring hazardous wind phenomena. Possible applications include measurements of wake vortices behind aircraft, detection of vertical and horizontal wind shear, detection of gust fronts, and identification of areas of intense turbulence. This paper reviews several computational procedures used to measure wind shear parameters and determine the gust front position. Algorithms for wind shear calculation are based on the construction of regression dependencies of changes in the wind speed components at a given distance. In accordance with the ICAO recommendations, horizontal wind shear is determined at a distance of 600m. The application of the algorithms is illustrated by the results of data processing for scanning in PPI mode performed by WINDEX-5000 Doppler pulse lidar.
© The Authors, published by EDP Sciences, 2019
This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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