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

Journal article (2023)

Authors

J. Dias Neto Atmospheric Remote Sensing - CEG
Guilherme Castelão Scripps Institution of Oceanography
Research Group
Atmospheric Remote Sensing (CEG) (TU Delft)
Copyright: © 2023 J. Dias Neto, Guilherme Castelão
DOI: https://doi.org/10.21105/joss.04852
More Info
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Published Date

2023

Language

English

Faculty

Civil Engineering & Geosciences

Department

Geoscience and Remote Sensing

Research Group

Atmospheric Remote Sensing

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.