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Updated: Jul 20, 2026

Simultaneous Measurement of Turbulence and Particle Kinematics Using Flow Imaging Techniques
Published on: March 12, 2019
Turbulence-induced measurement errors in coherent differential absorption lidar ground systems
1Department of Signal Theory and Communications, Technical University of Catalonia, Barcelona, Spain. belmonte@tsc.upc.edu
Atmospheric turbulence impacts differential absorption lidar (DIAL) accuracy. Simulations reveal how turbulence and signal fluctuations reduce DIAL measurement sensitivity and precision, especially for slant path measurements.
Area of Science:
- Atmospheric optics
- Remote sensing
- Lidar technology
Background:
- Atmospheric refractive turbulence introduces uncertainties in lidar measurements.
- Heterodyne lidar systems are susceptible to signal fluctuations, particularly along slant paths.
- Accurate atmospheric profiling requires accounting for real-world environmental conditions.
Purpose of the Study:
- To investigate the impact of atmospheric refractive turbulence on differential absorption lidar (DIAL) measurements.
- To quantify the uncertainty introduced by beam propagation simulations in heterodyne lidar systems.
- To analyze how coherent return fluctuations affect DIAL accuracy and sensitivity.
Main Methods:
- Simulations of beam propagation through turbulent atmospheric models.
- Analysis of statistical uncertainty in coherent return signals.
- Examination of lidar system performance under realistic, nonuniform atmospheric conditions.
Main Results:
- Atmospheric turbulence significantly increases uncertainty in DIAL measurements.
- Signal fluctuations in ground-based lidar systems reduce measurement accuracy and sensitivity.
- Slant path measurements at large elevation angles are particularly affected.
Conclusions:
- Simulations are crucial for understanding DIAL measurement uncertainties caused by atmospheric turbulence.
- Realistic atmospheric conditions must be considered for accurate DIAL instrument design and application.
- The study highlights the need for advanced techniques to mitigate turbulence effects in lidar remote sensing.
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