Detecting turbulent structures on single Doppler lidar large datasets: an automated classification method for horizontal scans
- DOI
- 10.5194/amt-13-6579-2020
- Published
- 2020-12-07
- Container
- Atmospheric Measurement Techniques
- Publisher
- Copernicus GmbH
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.5194/amt-13-6579-2020,
title = {Detecting turbulent structures on single Doppler lidar large datasets: an automated classification method for horizontal scans},
author = {Ioannis Cheliotis and Elsa Dieudonné and Hervé Delbarre and Anton Sokolov and Egor Dmitriev and Patrick Augustin and Marc Fourmentin},
year = {2020},
journal = {Atmospheric Measurement Techniques},
doi = {10.5194/amt-13-6579-2020},
url = {https://doi.org/10.5194/amt-13-6579-2020}
}RIS
TY - JOUR TI - Detecting turbulent structures on single Doppler lidar large datasets: an automated classification method for horizontal scans AU - Ioannis Cheliotis AU - Elsa Dieudonné AU - Hervé Delbarre AU - Anton Sokolov AU - Egor Dmitriev AU - Patrick Augustin AU - Marc Fourmentin PY - 2020 JO - Atmospheric Measurement Techniques DO - 10.5194/amt-13-6579-2020 UR - https://doi.org/10.5194/amt-13-6579-2020 ER -
APA
Cheliotis, I., Dieudonné, E., Delbarre, H., Sokolov, A., Dmitriev, E., Augustin, P., & Fourmentin, M. (2020). Detecting turbulent structures on single Doppler lidar large datasets: an automated classification method for horizontal scans. Atmospheric Measurement Techniques. https://doi.org/10.5194/amt-13-6579-2020
Source records
- crossref · retrieved 2026-09-25T16:32:18.155Z