Calculation of Whole Atmospheric Aerosol Optical Depth Based on Micro-Pulse Lidar

Shasha, 陈莎莎 Chen; Qingshan, 徐青山 Xu; Chidong, 徐赤东 Xu; Dongsheng, 余东升 Yu; Xiaowei, 陈小威 Chen

doi:10.3788/aos201737.0701002

Cited by 2 publications

(3 citation statements)

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“…The radar employed in this study is an MPL developed independently by the Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences [25]. The lidar system is primarily composed of three key components: a laser emission unit, a receiving unit, and a signal detection and acquisition unit.…”

Section: Micro-pulse Lidarmentioning

confidence: 99%

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Inversion of Near-Surface Aerosol Equivalent Complex Refractive Index Based on Aethalometer, Micro-Pulse Lidar and Portable Optical Particle Profiler

Ma,

Luo,

et al. 2024

Remote Sensing

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In order to investigate the equivalent complex refractive index of atmospheric aerosols near the Earth’s surface, we conducted measurements in the Hefei region from March to April 2022. These measurements utilized a micro-pulse lidar, an Aethalometer, and a Portable Optical Particle Profiler. These measurements encompassed aerosol particle size distribution as well as standard meteorological parameters including temperature, humidity, atmospheric pressure, and wind speed. Subsequently, this dataset was employed to develop an optimization algorithm for retrieving the equivalent complex refractive indices of near-surface aerosols. The methodology relies on lookup tables containing data for extinction efficiency and absorption efficiency factors. It operates on the premise of aerosol property stability within a defined time frame, utilizing measured extinction and absorption coefficients as simultaneous constraints during this period to inversely derive both the real and imaginary parts of the aerosol complex refractive index. Results from the simulation analysis reveal that the newly optimized retrieval algorithm, which relies on lookup tables, exhibits reduced sensitivity to instrument errors when compared to single-point constraint algorithms. This enhancement results in a more efficient and dependable approach for retrieving the aerosol complex refractive index. Empirical inversion and simulation studies were carried out to determine the aerosol equivalent complex refractive index in the Hefei region, utilizing measured data. This inversion process yielded an average complex refractive index of 1.48-i0.017 for aerosols in the Hefei region throughout the experimental period. Correlation analysis unveiled a positive association between the real part of the aerosol complex refractive index and the single-scattering albedo (SSA), whereas the imaginary part displayed a linear negative correlation with the SSA. The mathematical relationship between the real part and the SSA is y=0.19x+0.62, and the corresponding relationship between the imaginary part and the SSA is y=−5.3x+0.99. This research offers a novel method for the retrieval of the aerosol equivalent complex refractive index.

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Section: Micro-pulse Lidarmentioning

confidence: 99%

“…Since this paper requires the utilization of near-surface aerosol extinction coefficients and seeks to minimize the influence of radar blind spots, horizontal lidar detection is implemented, and the slope method is applied for calculating the horizontal extinction coefficient. Equation (1) illustrates the lidar equation [25]:…”

Section: Micro-pulse Lidarmentioning

confidence: 99%

Inversion of Near-Surface Aerosol Equivalent Complex Refractive Index Based on Aethalometer, Micro-Pulse Lidar and Portable Optical Particle Profiler

Ma,

Luo,

et al. 2024

Remote Sensing

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“…MPL has been developed by relevant scientific research institutions in China for vertical, horizontal, and three-dimensional scanning detection of atmospheric aerosols and clouds. According to the detection results, the detection distance is 3-5 km during the day, and it is 10-15 km at night [10][11][12].…”

Section: Introductionmentioning

confidence: 99%

Optical–Mechanical Integration Analysis and Validation of LiDAR Integrated Systems with a Small Field of View and High Repetition Frequency

Li,

Xing,

Zhao

et al. 2024

Photonics

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Integrated systems are facing complex and changing environments with the wide application of atmospheric LiDAR in civil, aerospace, and military fields. Traditional analysis methods employ optical software to evaluate the optical performance of integrated systems, and cannot comprehensively consider the influence of optical and mechanical coupling on the optical performance of the integrated system, resulting in the unsatisfactory accuracy of the analysis results. Optical–mechanical integration technology provides a promising solution to this problem. A small-field-of-view LiDAR system with high repetition frequency, low energy, and single-photon detection technology was taken as an example in this study, and the Zernike polynomial fitting algorithm was programmed to enable transmission between optical and mechanical data. Optical–mechanical integration technology was employed to obtain the optical parameters of the integrated system under a gravity load in the process of designing the optical–mechanical structure of the integrated system. The experimental validation results revealed that the optical–mechanical integration analysis of the divergence angle of the transmission unit resulted in an error of 2.586%. The focal length of the telescope increased by 89 μm, its field of view was 244 μrad, and the error of the detector target surface spot was 4.196%. The continuous day/night detection results showed that the system could accurately detect the temporal and spatial variations in clouds and aerosols. The inverted optical depths were experimentally compared with those obtained using a solar photometer. The average optical depth was 0.314, as detected using LiDAR, and 0.329, as detected by the sun photometer, with an average detection error of 4.559%. Therefore, optical–mechanical integration analysis can effectively improve the stability of the structure of highly integrated and complex optical systems.

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Calculation of Whole Atmospheric Aerosol Optical Depth Based on Micro-Pulse Lidar

Cited by 2 publications

References 0 publications

Inversion of Near-Surface Aerosol Equivalent Complex Refractive Index Based on Aethalometer, Micro-Pulse Lidar and Portable Optical Particle Profiler

Inversion of Near-Surface Aerosol Equivalent Complex Refractive Index Based on Aethalometer, Micro-Pulse Lidar and Portable Optical Particle Profiler

Optical–Mechanical Integration Analysis and Validation of LiDAR Integrated Systems with a Small Field of View and High Repetition Frequency

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