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Simulation and optimization of Fe resonance fluorescence lidar performance for temperature-wind measurement
Optics Express
|April 27, 2022
Summary
This study presents a simulation model for iron resonance fluorescence lidar (Fe lidar) to improve temperature and wind measurements in the upper atmosphere. The model guides the design of high-performance Fe lidars for atmospheric research.
Area of Science:
- Atmospheric physics and remote sensing.
- Geophysics and space science.
Background:
- Iron resonance fluorescence lidar (Fe lidar) is crucial for mesosphere and lower thermosphere temperature and wind measurements.
- The complexity of Fe lidar systems limits their widespread operation and necessitates advanced simulation for development.
Purpose of the Study:
- To develop a high-performance Fe lidar through simulation.
- To build and validate a simulation model for Fe lidar systems.
Main Methods:
- Derivation of temperature-wind uncertainties using error propagation.
- Index decomposition of lidar and atmospheric parameters within saturation limits.
- Optimization of dwell time and central frequency shift for calibration curves.
Main Results:
- Optimized parameters for night (0.205 s, 932 MHz) and day (0.212 s, 687 MHz) operation.
- Acquisition of night and daytime calibration curves.
- Evaluation of Fe lidar performance based on simulation parameters.
Conclusions:
- The developed simulation model provides valuable guidance for designing high-performance Fe lidars.
- Simulation is a critical first step in advancing Fe lidar technology for atmospheric studies.
