Field Verification of Vehicle-Mounted All-Fiber Coherent Wind Measurement Lidar Based on Four-Beam Vertical Azimuth Display Scanning

Abstract

Wind parameters play a vital role in studying atmospheric dynamics and climate change. In this study, a vehicle-mounted coherent wind measurement Lidar (CWML) with a wavelength of 1.55 µm is demonstrated based on a four-beam vertical azimuth display (VAD) scanning mode, and a method to estimate wind vector from power spectrum is proposed. The feasibility of the application of wind profile Lidar in vehicles is verified by calibration tests, comparison experiments, and continuous observation experiments, successively. The effective detection height of Lidar can reach 3 km. In contrasting experiments, the correlation coefficients of the magnitude and direction of horizontal wind speed measured by vehicle-mounted Lidar and fixed Lidar are 0.94 and 0.91, respectively. The experimental results reveal that the accuracies of wind speed and direction measurements with the vehicle-mounted CWML are better than 0.58 m/s and 4.20°, respectively. Furthermore, to understand the role of the wind field in the process of energy and material transport further, a proton-transfer reaction time-of-flight mass spectrometer (PTR-TOF-MS) is utilized to measure the concentration of volatile organic compounds (VOCs). Relevant experimental results indicate that the local meteorological conditions, including wind speed and humidity, influence the VOC concentrations.

Enhanced Wind-Field Detection Using an Adaptive Noise-Reduction Peak-Retrieval (ANRPR) Algorithm for Coherent Doppler Lidar

“…In the echo power spectrum, the Doppler shift due to scattering motion in the lidar beam is determined by identifying the highest value in the power spectrum [27]. The adaptive peak-retrieval algorithm is a method for automatic peak detection of noisy periodic and quasi-periodic signals based on the multi-scale automatic peak-retrieval algorithm and optimized for the power spectral characteristics of coherent wind measurement lidar echo signals.…”

Evaluation and Wind Field Detection of Airborne Doppler Wind Lidar with Automatic Intelligent Processing in North China

“…While ground-based technologies have historically provided valuable insights into atmospheric dynamics, the detection area of the ground-based DWL is constrained by fixed locations, facing inherent limitations. To overcome these constraints and enhance DWL capabilities, researchers have explored various platform-mounted DWLs, including vehicle-mounted DWLs [17], floating DWLs [18], shipborne DWLs [19], and airborne Doppler wind lidars (ADWLs) [20]. ADWLs offer a remarkable advantage in their high mobility and flexibility, capturing detailed wind profiles across different atmospheric layers from the ground surface to higher altitudes.…”