11 citations as recorded by crossref.

1. Validation of pure rotational Raman temperature data from the Raman Lidar for Meteorological Observations (RALMO) at Payerne G. Martucci et al. https://doi.org/10.5194/amt-14-1333-2021
2. Measurement Accuracy and Attitude Compensation of Rayleigh Lidar on an Airborne Floating Platform T. Wu et al. https://doi.org/10.3390/rs16173308
3. Research on Atmospheric Temperature Retrieval Based on Rayleigh Lidar Using Optimal Estimation Method Y. WANG et al. https://doi.org/10.11728/cjss2023.04.2022-0035
4. Retrieval of temperature from a multiple-channel Rayleigh-scatter lidar using an optimal estimation method R. Sica & A. Haefele https://doi.org/10.1364/AO.54.001872
5. Automation in Middle- and Upper-Atmosphere LIDAR Operations: A Maximum Rayleigh Altitude Prediction System Based on Night Sky Imagery J. Wei et al. https://doi.org/10.3390/rs16030536
6. Lidar temperature series in the middle atmosphere as a reference data set – Part 1: Improved retrievals and a 20-year cross-validation of two co-located French lidars R. Wing et al. https://doi.org/10.5194/amt-11-5531-2018
7. Proposed standardized definitions for vertical resolution and uncertainty in the NDACC lidar ozone and temperature algorithms – Part 3: Temperature uncertainty budget T. Leblanc et al. https://doi.org/10.5194/amt-9-4079-2016
8. Atmospheric Density and Temperature Vertical Profile Retrieval for Flight-Tests with a Rayleigh Lidar On-Board the French Advanced Test Range Ship Monge R. Wing et al. https://doi.org/10.3390/atmos11010075
9. Dictionary learning technique and penalized maximum likelihood for extending measurement range of a Rayleigh lidar V. Satya Sreekanth et al. https://doi.org/10.1117/1.JRS.14.034529
10. Uncertainty of Pure Rotational Raman-Rayleigh LiDAR for Temperature Measurement in Middle-to-Upper Atmosphere: Simulation Method S. Chen et al. https://doi.org/10.1109/TGRS.2024.3458061
11. Simultaneous Rayleigh‐Scatter and Sodium Resonance Lidar Temperature Comparisons in the Mesosphere‐Lower Thermosphere L. Sox et al. https://doi.org/10.1029/2018JD029438