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11 - Applications

Published online by Cambridge University Press:  16 February 2023

Gary G. Gimmestad
Affiliation:
Georgia Institute of Technology
David W. Roberts
Affiliation:
MicroDynamics LLC
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Summary

This chapter covers some applications of the atmospheric optics and the engineering principles in the previous chapters as they are employed in operational and proposed lidars. Many of the previous examples involved elastic backscatter aerosol lidars, so this chapter also includes many of the other most common types: wind lidars of several kinds; Rayleigh temperature lidar; differential absorption lidar (DIAL); Raman lidar for profiling trace gases, aerosols, and temperature; high spectral resolution lidar (HSRL); and resonance fluorescence lidar. Descriptions of these techniques are presented here with appropriate references, along with comments on the engineering challenges of these various types of lidars and the ways that they illustrate the principles laid out in the previous chapters. The data analysis algorithms for most of these types of lidar are derived. The laser remote sensing technique known as integrated path differential absorption (IPDA) is also described, along with its data analysis.

Type
Chapter
Information
Lidar Engineering
Introduction to Basic Principles
, pp. 297 - 323
Publisher: Cambridge University Press
Print publication year: 2023

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References

Hunt, W. H., Winker, D. M., Vaughan, M. A. et al., “CALIPSO Lidar Description and Performance Assessment,” Journal of Atmospheric and Oceanic Technology, vol. 26, pp. 12141228, 2009.CrossRefGoogle Scholar
Liu, Z., Kar, J., Zeng, S. et al., “Discriminating between Clouds and Aerosols in the CALIOP Version 4.1 Data Products,” Atmospheric Measurement Techniques, vol. 12, pp. 703734, 2019.CrossRefGoogle Scholar
Young, S. A., Vaughan, M. A., Garnier, A. et al., “Extinction and Optical Depth Retrievals for CALIPSO’s Version 4 Data Release,” Atmospheric Measurement Techniques, vol. 11, pp. 57015727, 2018.CrossRefGoogle Scholar
Young, S. A. and Vaughan, M. A., “The retrieval of Profiles of Particulate Extinction from Cloud Aerosol Lidar Infrared Pathfinder Satellite Observations (CALIPSO) Data: Algorithm Description,” Journal of Atmospheric and Oceanic Technology, vol. 26, pp. 11051119, 2009.CrossRefGoogle Scholar
Omar, A. H., Won, J. G., Winker, D. M. et al., “Development of Global Aerosol Models Using Cluster Analysis of Aerosol Robotic Network (AERONET) Measurements,” Journal of Geophysical Research, vol. 110, D10S14 (14 pp.), 2005.CrossRefGoogle Scholar
Henderson, S. W., Gatt, P., Rees, D., and Huffaker, M., “Wind Lidar,” in Laser Remote Sensing, Fujii, T. and Fukuchi, T., Eds. Boca Raton: Taylor & Francis, 2005, pp. 469722.Google Scholar
Eloranta, E. W. and Forrest, D. K., “Volume Imaging Lidar Observation of the Convective Structure Surrounding the Flight Path of an Instrumented Aircraft,” Journal of Geophysical Research, vol. 97, pp. 1838318394, 1992.CrossRefGoogle Scholar
University of Wisconsin Lidar Group. [Online]. Available: http://lidar.ssec.wisc.edu/index.htm. 1/10/22. [Accessed October 1, 2022].Google Scholar
Schols, J. L. and Eloranta, E. W, “Calculation of Area-Averaged Vertical Profiles of the Horizontal Wind Velocity from Volume-Imaging Lidar Data,” Journal of Geophysical Research, vol. 97, pp. 1839518407, 1992.CrossRefGoogle Scholar
Patterson, E. M., Roberts, D. W., and Gimmestad, G. G., “Initial Measurements Using a 1.54 Micron Eyesafe Raman Shifted Lidar,” Letters to the Editor, Applied Optics, vol. 28, pp. 49784981, 1989.CrossRefGoogle Scholar
Mayor, S. D. and Spuler, S. M., “Raman-Shifted Eye-Safe Aerosol Lidar,” Applied Optics, vol. 43, pp. 39153924, 2004.CrossRefGoogle ScholarPubMed
Atmospheric lidar research Group. [Online]. Available: https://physics.csuchico.edu/lidar/marine/. [Accessed March 9, 2022].Google Scholar
Vaisala WindCube. [Online]. Available: www.vaisala.com/en/wind-lidars/wind-energy/windcube. [Accessed October 1, 2022].Google Scholar
Lockheed Martin WindTracer. [Online]. Available: www.lockheedmartin.com/en-us/products/windtracer.html. [Accessed October 1, 2022].Google Scholar
Korb, C. L., Gentry, B. M., and Weng, C. Y., “Edge Technique: Theory and Application to the Lidar Measurement of Atmospheric Wind,” Applied Optics, vol. 31, pp. 42024213, 1992.CrossRefGoogle Scholar
Hecht, E., Optics, 5th ed., London: Pearson, 2017.Google Scholar
Gentry, B. M., Chen, H., and Li, S. X., “Wind Measurements with 355-nm Molecular Doppler Lidar,” Optics Letters, vol. 25, pp. 12311233, 2000.Google Scholar
Baumgarten, G., “Doppler Rayleigh/Mie/Raman Lidar for Wind and Temperature Measurements in the Middle Atmosphere up to 80 km,” Atmospheric Measurement Techniques, vol. 3, pp. 15091518, 2010.CrossRefGoogle Scholar
Straume, A. G. et al., “ESA’s Space-Based Doppler Wind Lidar Mission Aeolus – First Wind and Aerosol Product Assessment Results,” 29th International Laser Radar Conference, 2020. [Online]. Available: www.epj-conferences.org/articles/epjconf/abs/2020/13/epjconf_ilrc292020_01007/epjconf_ilrc292020_01007.html. [Accessed February 2, 2022].Google Scholar
Chu, X. and Papen, G. C., “Resonance Fluorescence Lidar for Measurements of the Middle and Upper Atmosphere,” in Laser Remote Sensing, Fujii, T. and Fukuchi, T., Eds. New York: Taylor and Francis, 2005, pp. 179432.CrossRefGoogle Scholar
Hauchecorne, A. and Chanin, M., “Density and Temperature Profiles Obtained by Lidar between 35 and 70 km,” Geophysics Research Letters, vol. 7, pp. 565568, 1980.Google Scholar
Behrent, A., Temperature Measurements with Lidar, in Lidar: Range-Resolved Optical Remote Sensing of the Atmosphere, Weitcamp, C., Ed. New York: Springer, 2005, pp. 273305.Google Scholar
Roberts, D. W., Gimmestad, G. G., Garrison, A. K. et al., “Design and Performance of a 100-Inch Lidar Facility,” Optical Engineering, vol. 30, pp. 7987, 1991.CrossRefGoogle Scholar
Khanna, J., Bandoro, J., Sica, R. J., and McElroy, C. T., “New Technique for Retrieval of Atmospheric Temperature Profiles from Rayleigh-Scatter Lidar Measurements Using Nonlinear Inversion,” Applied Optics, vol. 51, pp. 79457952, 2012.CrossRefGoogle ScholarPubMed
Sica, R. J. and Haefele, A., “Retrieval of Temperature from a Multiple-Channel Rayleigh-Scatter Lidar Using an Optimal Estimation Method,” Applied Optics, vol. 54, pp. 18721889, 2015.CrossRefGoogle ScholarPubMed
Gimmestad, G. G., “Differential-Absorption Lidar for Ozone and Industrial Emissions,” in Lidar: Range-Resolved Optical Remote Sensing of the Atmosphere, Weitcamp, C., Ed. New York: Springer, 2005.Google Scholar
Spuler, S. M., Repasky, K. S., Morley, B., et al., “Field-Deployable Diode-Laser-based Differential Absorption Lidar (DIAL) for Profiling Water Vapor,” Atmospheric Measurement Techniques, vol. 8, pp. 10731087, 2015.Google Scholar
MERLIN (Methane Remote Sensing Lidar MIssion): an overview. [Online]. Available: www.researchgate.net/publication/280090102_MERLIN_Methane_Remote_Sensing_Lidar_MIssion_an_overview. [Accessed February 6, 2022].Google Scholar
Kiemle, C., Quatrevalet, M., Ehret, G., et al., “Sensitivity Studies for a Space-Based Methane Lidar Mission,” Atmospheric Measurement Techniques, vol. 4, pp. 21952211, 2011.Google Scholar
Wandinger, U., “Raman Lidar”, in Lidar: Range-Resolved Optical Remote Sensing of the Atmosphere, Weitcamp, C., Ed. New York: Springer, 2005, pp. 241271.Google Scholar
Ansmann, A. and Muller, D., “Lidar and Atmospheric Aerosol Particles”, in Lidar: Range-Resolved Optical Remote Sensing of the Atmosphere, Weitcamp, C., Ed. New York: Springer, 2005, pp. 105141.CrossRefGoogle Scholar
Eloranta, E. W., “High Spectral Resolution Lidar,” in Lidar: Range-Resolved Optical Remote Sensing of the Atmosphere, Weitcamp, C., Ed. New York: Springer, 2005, pp. 143163.Google Scholar
Pollynet. [Online]. Available: https://polly.tropos.de. [Accessed February 11, 2022].Google Scholar
Engelmann, R., Kanitz, T., Baars, H., et al., “The Automated Multiwavelength Raman Polarization and Water-Vapor Lidar PollyXT: The neXT Generation,” Atmospheric Measurement Techniques, vol. 9, pp. 17671784, 2016.Google Scholar

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