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Related Experiment Video

Updated: Sep 6, 2025

Measurements of Waves in a Wind-wave Tank Under Steady and Time-varying Wind Forcing

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Meter-scale and sub-second-resolution coherent Doppler wind LIDAR and hyperfine wind observation.

Chen Liang, Chong Wang, Xianghui Xue

|July 1, 2022

Summary

Pulse coherent Doppler wind LIDAR (PCDWL) now achieves meter-scale, sub-second resolution for detecting fine wind structures. This advancement enhances aerodynamic and aviation safety by improving wind remote sensing capabilities.

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Last Updated: Sep 6, 2025

Measurements of Waves in a Wind-wave Tank Under Steady and Time-varying Wind Forcing

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Published on: February 13, 2018

Experimental Investigation of the Flow Structure over a Delta Wing Via Flow Visualization Methods

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Published on: April 23, 2018

Simultaneous Measurement of Turbulence and Particle Kinematics Using Flow Imaging Techniques

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Published on: March 12, 2019

Area of Science:

Atmospheric Science
Optical Engineering
Aerodynamics

Background:

Accurate detection of hyperfine wind structure is crucial for aerodynamic and aviation safety.
Pulse coherent Doppler wind LIDAR (PCDWL) is a key technology for wind remote sensing.
Current PCDWL systems face challenges in achieving meter-scale spatial and sub-second temporal resolutions due to limitations in laser pulse duration, spectral broadening, detection accuracy, and real-time processing.

Purpose of the Study:

To enhance the spatial and temporal resolution of PCDWL systems.
To demonstrate a novel algorithm for improved wind structure detection.
To provide detailed observations of hyperfine wind structures in real-world conditions.

Main Methods:

Optimization of the optical design for a nanosecond fiber laser and telescope.
Implementation of a new algorithm: the even-order derivative peak sharpening technique.
Experimental validation using an all-fiber PCDWL system.

Main Results:

Demonstration of an all-fiber PCDWL system with spatial resolution of 3 meters and temporal resolution of 0.1 seconds.
Successful two-day continuous observation of high-speed train wakes.
Detailed visualization of hyperfine wind structures, comparable to computational fluid dynamics simulations.

Conclusions:

The optimized PCDWL system and novel algorithm significantly improve spatial and temporal resolution.
The system effectively captures complex, fine-scale wind patterns.
This technology holds promise for enhanced aerodynamic analysis and aviation safety applications.