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Typical Wind Shear Simulation and Detection Analysis Based on Coherent Doppler Wind Lidar.

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Summary
This summary is machine-generated.

This study improves wind shear identification using coherent Doppler wind lidar (CDWL) by comparing algorithms. A combined approach effectively detects wind shear, enhancing aviation safety.

Keywords:
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Area of Science:

  • Atmospheric Science
  • Meteorology
  • Aviation Safety

Background:

  • Accurate wind shear identification is crucial for aviation safety.
  • Coherent Doppler Wind Lidar (CDWL) offers advanced wind profiling capabilities.
  • Understanding CDWL detection variations under airflow disturbances is essential.

Purpose of the Study:

  • To evaluate CDWL detection accuracy under typical airflow disturbances.
  • To compare the performance of double-slope and least squares algorithms for wind shear identification.
  • To validate a combined algorithm scheme using field experiments.

Main Methods:

  • Numerical simulation of wind shear fields and CDWL Plane Position Indication (PPI) generation.
  • Comparative analysis of double-slope and least squares algorithms on simulated PPI data.
  • Field experiments using a long-range CDWL at a plateau airport, with data validation against anemometers.

Main Results:

  • The double-slope algorithm excels at identifying wind shear near peaks in disturbed wind fields.
  • The least squares algorithm demonstrates superior noise suppression and gradient fitting for stable, linear wind fields.
  • A combined "least square + double-slope" scheme proved effective and reliable in real-world wind shear detection.

Conclusions:

  • Different algorithms have distinct strengths for identifying wind shear based on wind field characteristics.
  • A hybrid approach combining least squares and double-slope methods enhances CDWL wind shear detection reliability.
  • Experimental validation confirms the practical effectiveness of the proposed CDWL-based wind shear identification scheme.