Iterative method for the retrieval of the aerosol backscatter coefficient and the Ångström exponent from bi-wavelength lidar data in low-transmittance atmospheres

Michael Sicard; Francesc Rocadenbosch; Adolfo Comeron; Miguel Angel Lopez

doi:10.1117/12.565621

30 November 2004 Iterative method for the retrieval of the aerosol backscatter coefficient and the Ångstrom exponent from bi-wavelength lidar data in low-transmittance atmospheres

Michael Sicard, Francesc Rocadenbosch, Adolfo Comeron, Miguel Angel Lopez

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Proceedings Volume 5571, Remote Sensing of Clouds and the Atmosphere IX; (2004) https://doi.org/10.1117/12.565621
Event: Remote Sensing, 2004, Maspalomas, Canary Islands, Spain

Abstract

A method based on the advantage of a bi-wavelength lidar system has been developed and tested. The method departs from the fact that in nearly transparent atmospheres (weak extinctions), the ratio of the lidar signals at both wavelengths gives the Ångstrom exponent in backscatter with very low uncertainty. The method consists in (i) assuming a linear relationship between the Ångstrom exponent in backscatter and the Ångstrom exponent in extinction (usually called Ångstrom exponent), (ii) approximating by a first order development the ratio of the transmittances, (iii) and forcing the resulting Ångstrom exponent. Profiles of the Ångstrom exponent, and the aerosol backscatter coefficient at 1064 and 532 nm were retrieved. The aerosol backscatter coefficient profiles were compared to Klett inversion results in the lowest part of the atmosphere containing aerosols, [0 - 3 km], in a rural environment in summertime: the agreement is better than 12 % at 1064 nm, and better than 35 % at 532 nm, indicating a greater dependency to the initial assumptions in the visible range.

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Michael Sicard, Francesc Rocadenbosch, Adolfo Comeron, and Miguel Angel Lopez "Iterative method for the retrieval of the aerosol backscatter coefficient and the Ångstrom exponent from bi-wavelength lidar data in low-transmittance atmospheres", Proc. SPIE 5571, Remote Sensing of Clouds and the Atmosphere IX, (30 November 2004); https://doi.org/10.1117/12.565621

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KEYWORDS

LIDAR

Backscatter

Aerosols

Atmospheric particles

Lawrencium

Signal attenuation

Humidity

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