###### 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 \(\upmu\)m 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\({}^{\circ}\), 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. motion compensation; spectral signal processing; vehicle mounted; coherent wind measurement Lidar [table]essential for Kelvin Helmholtz (KH) waves, which are an important source of CAT. CAT is important for aviation meteorological safety and pollution transfer [14]. The vertical wind shear changes are attributable to the local thermal wind response to the meridional temperature gradient changes. [PERSON] et al. [15] suggest that climate modeling studies on the response of jet streams to climate change should therefore include a consideration of vertical shear as well as speed. Considering the ever-increasing atmospheric pollution, many scholars from various countries are now committed to the research of atmospheric wind fields. At present, there exist many examples of ground-based CWML [16; 17]. However, the literature on vehicle-mounted [18], shipborne [19; 20], and airborne [21; 22] CWML is scarce. The existing ground-based monitoring stations have largely achieved continuous real-time monitoring of pollutants at fixed points. However, ground-based detection alone makes it difficult to reveal the fundamental issues of pollution formation, sources, and transport impacts. Compared to ground-based Lidar, a mobile Lidar allows for the non-contact monitoring of pollutant emission sources and the tracking of pollutant dispersion, and its measurement range and measurement height are greatly enhanced. Vehicle-mounted CWML is necessary for environmental monitoring. For this necessity, the all-fiber detection system uses optical fiber as the gain medium, which has the advantages of a compact structure, a stable system, and low power consumption [8; 9]. The application of fiber-optic elements to vehicle-mounted Lidar considerably enhances fabrication, alignment, and long-term stability. However, the issue of the \"vehicle-mounted\" CWML is the degradation of wind measurement accuracy caused by vehicle motion. Therefore, a new technique for motion compensation is required. Motion CWML overestimates the wind vector compared to the fixed Lidars. The question of \"how to accurately measure wind field on a moving platform in real time\" indicates a problem that still needs to be resolved comprehensively. Following this issue, different methods have been proposed to mitigate the motion-induced error in wind vector estimates from Lidar systems. [PERSON] et al. [23] demonstrated that a combination of commercial Doppler Lidar with a custom-made motion-stabilization platform enables the effective retrieval of wind profiles. Furthermore, [PERSON] et al.