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Energy","sub_category":"Wind Energy","monthly_downloads":57,"total_dependent_repos":1,"total_dependent_packages":0,"readme":"======================\nlidarwind introduction\n======================\n\n.. image:: https://joss.theoj.org/papers/28430a0c6a79e6d1ff33579ff13458f7/status.svg\n   :target: https://doi.org/10.21105/joss.04852\n\n.. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.7026548.svg\n   :target: https://doi.org/10.5281/zenodo.7026548\n\n.. image:: https://readthedocs.org/projects/lidarwind/badge/?version=latest\n    :target: https://lidarwind.readthedocs.io/en/latest/?badge=latest\n    :alt: Documentation Status\n\n.. image:: https://mybinder.org/badge_logo.svg\n   :target: https://mybinder.org/v2/gh/jdiasn/lidarwind/main?labpath=docs%2Fexamples\n\n.. image:: https://img.shields.io/pypi/v/lidarwind.svg\n   :target: https://pypi.python.org/pypi/lidarwind/\n\n.. image:: https://codecov.io/gh/jdiasn/lidarwind/branch/main/graph/badge.svg?token=CEZM17YY3I\n   :target: https://codecov.io/gh/jdiasn/lidarwind\n\n\n.. note::\n    Now lidarwind supports data from RPG cloud radars. If you are interested, have a look at Radar usage section.\n\n\nlidarwind is an open-source Python project that retrieves wind speed and direction profiles from Doppler velocity observations recorded by Doppler-capable instruments. Initially, this package was developed to work with observations from the WindCube-200s lidar, but with this new release, lidarwind starts to support data from RPG Cloud Radars. Currently, It can retrieve wind profiles from the PPI, 6-beam and DBS scanning strategies and calculate the Reynolds stress tensor matrix elements from the 6-beam observation. The package can be further extended to process data from other Doppler lidar and radar and from other scanning strategies.\n\nlidarwind results from an effort to create a flexible and easy-to-use package to process observations recorded by the WindCube Doppler lidar. The package development started in 2021 when I had to retrieve wind profiles from the 6-beam observations.\n\n\n--------\nCitation\n--------\n\nIf you use lidarwind, or replicate part of it, in your work/package, please consider including the reference:\n\nNeto, J. D. and Castelão, G. P., (2023). lidarwind: A Python package for retrieving wind profiles from Doppler lidar observations. Journal of Open Source Software, 8(82), 4852, https://doi.org/10.21105/joss.04852\n\n::\n\n  @article{Neto2023,\n  doi = {10.21105/joss.04852},\n  url = {https://doi.org/10.21105/joss.04852},\n  year = {2023}, publisher = {Journal of Open Source Software},\n  volume = {8}, number = {82}, pages = {4852},\n  author = {José Dias Neto and Guilherme P. 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