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lidarwind: A Python package for retrieving wind profiles from Doppler lidar observations

Journal Article (2023)
Author(s)

J. Dias Neto (TU Delft - Civil Engineering & Geosciences)

Guilherme Castelão (Scripps Institution of Oceanography)

Research Group
Atmospheric Remote Sensing
DOI related publication
https://doi.org/10.21105/joss.04852 Final published version
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Publication Year
2023
Language
English
Research Group
Atmospheric Remote Sensing
Issue number
82
Volume number
8
Article number
4852
Pages (from-to)
1-4
Downloads counter
279
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Institutional Repository
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Abstract

lidarwind is an open-source Python project to retrieve wind speed and direction profiles from Doppler lidar observations from the WindCube-200s, and it was developed to be easy to use. It can retrieve wind profiles from the 6-beam and DBS scanning strategies and allow users to set the signal-to-noise ratio threshold to reduce the noise. It also calculates the Reynolds stress tensor matrix elements from the 6-beam observations. lidarwind is a result of an effort to create an environment where it would be flexible and easy to process the observations from the WindCube Doppler lidar.