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

J. Dias Neto; Guilherme Castelão

doi:10.21105/joss.04852

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

J. Dias Neto, Guilherme Castelão

Atmospheric Remote Sensing

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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.

Original language	English
Article number	4852
Pages (from-to)	1-4
Number of pages	4
Journal	Journal of Open Source Software
Volume	8
Issue number	82
DOIs	https://doi.org/10.21105/joss.04852
Publication status	Published - 2023

Funding

This publication is part of the NWO Talent Scheme Vidi project CMTRACE with project
number 192.050, financed by the Dutch Research Council (NWO).

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Cite this

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title = "lidarwind: A Python package for retrieving wind profiles from Doppler lidar observations",

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.",

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

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