Comparison of aerosol backscatter and wind field estimates from the REAL and the SAMPLE

Mayor, Satyajit; Dérian, Pierre; Mauzey, Christopher F.; Spuler, Scott M.; Ponsardin, Patrick; Pruitt, Jeff; Ramsey, Darrell; Higdon, N. S.

doi:10.1117/12.2187538

Cited by 2 publications

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“…In this paper, we compare the performance of the Raman-shifted eye-safe aerosol lidar (REAL, a macropulse system) with the scanning aerosol micropulse lidar-eye-safe (SAMPLE, a micropulse system) using experimental data that was collected in Chico, California, from March 9 to 20, 2015. 11 Both systems operate at the near-infrared wavelength of 1.5 μm. Of particular interest is the performance of the SAMPLE because it is new, compact, and portable.…”

Section: Introductionmentioning

confidence: 99%

Comparison of an analog direct detection and a micropulse aerosol lidar at 1.5 - μ m wavelength for wind field observations—with first results over the ocean

Mayor

Dérian

Mauzey

et al. 2016

J. Appl. Remote Sens

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The performance of two direct-detection atmospheric lidar systems with very different methods of generating and detecting laser radiation is compared as the result of a field experiment held in March 2015, in Chico, California. During the noncontinuous, 11-day test period, in which the systems operated side by side, the micropulse lidar was operated at its maximum pulse repetition frequency (15 kHz) and integrated elastic backscatter over the interpulse period of the analog direct-detection lidar (0.1 s). Operation at the high pulse repetition frequency resulted in second-trip echoes that contaminated portions of the data. The performance of the micropulse lidar varied with background brightness-as expected with a photon-counting receiver-yet showed equal or larger backscatter intensity signal-to-noise ratio throughout the experiment. Examples of wind fields and time series of wind vectors from both systems during the Chico experiment are presented. In addition, scans over the ocean that were collected by the micropulse lidar during a subsequent deployment on the northern California coast are presented. We conclude by reviewing the advantages and disadvantages of each system and make some suggestions to improve the design and performance of future systems. © The Authors. Published by SPIE under a Creative Commons Attribution 3.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.

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Section: Introductionmentioning

confidence: 99%

Comparison of an analog direct detection and a micropulse aerosol lidar at 1.5 - μ m wavelength for wind field observations—with first results over the ocean

Mayor

Dérian

Mauzey

et al. 2016

J. Appl. Remote Sens

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Aerosol Plume Detection Algorithm Based on Image Segmentation of Scanning Atmospheric Lidar Data

Weekley

Goodrich

Cornman

2016

Journal of Atmospheric and Oceanic Technology

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An image-processing algorithm has been developed to identify aerosol plumes in scanning lidar backscatter data. The images in this case consist of lidar data in a polar coordinate system. Each full lidar scan is taken as a fixed image in time, and sequences of such scans are considered functions of time. The data are analyzed in both the original backscatter polar coordinate system and a lagged coordinate system. The lagged coordinate system is a scatterplot of two datasets, such as subregions taken from the same lidar scan (spatial delay), or two sequential scans in time (time delay). The lagged coordinate system processing allows for finding and classifying clusters of data. The classification step is important in determining which clusters are valid aerosol plumes and which are from artifacts such as noise, hard targets, or background fields. These cluster classification techniques have skill since both local and global properties are used. Furthermore, more information is available since both the original data and the lag data are used. Performance statistics are presented for a limited set of data processed by the algorithm, where results from the algorithm were compared to subjective truth data identified by a human.

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Comparison of aerosol backscatter and wind field estimates from the REAL and the SAMPLE

Cited by 2 publications

References 10 publications

Comparison of an analog direct detection and a micropulse aerosol lidar at 1.5 - μ m wavelength for wind field observations—with first results over the ocean

Comparison of an analog direct detection and a micropulse aerosol lidar at 1.5 - μ m wavelength for wind field observations—with first results over the ocean

Aerosol Plume Detection Algorithm Based on Image Segmentation of Scanning Atmospheric Lidar Data

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