Ångström exponent impact on the aerosol optical properties obtained from vibrational–rotational Raman lidar observations

Abstract. Vertical profiles of aerosol properties are essential for assessing the impact of aerosols on cloud formation and the Earth's radiation budget. Lidars can provide profiles of the particle backscatter and extinction coefficients and the extinction-to-backscatter ratio (lidar ratio). An Ångström exponent has to be assumed when computing these profiles from nitrogen vibrational–rotational Raman signals. This assumption introduces uncertainties. An alternative approach is the rotational Raman lidar method, which does not need an Ångström exponent as input. This study presents a quantitative comparison between the pure rotational and vibrational–rotational Raman lidar approaches to assess the impact of the Ångström exponent assumption on the vibrational–rotational Raman lidar solutions. In this short article, we present four contrasting case studies based on observations of wildfire smoke, Saharan dust, residential wood combustion smoke, and a cirrus layer. The optical properties are derived at a wavelength of 532 nm, with the rotational Raman signals measured at 530 nm and the vibrational–rotational Raman signals measured at 607 nm. It was found that the use of an Ångström exponent, deviating by 1 from the true value, introduces relative uncertainties of 5 % and less (backscatter coefficient), 5 %–10 % (extinction coefficient), and around 10 % (lidar ratio) in the vibrational–rotational Raman lidar solutions.

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Publication Details

Journal
Atmospheric measurement techniques
Published
2025-08-21
DOI
https://doi.org/10.5194/amt-18-3937-2025
Citations
1
Primary Topic
Atmospheric aerosols and clouds
Type
article
Field-Weighted Citation Impact
1.11

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article

Ångström exponent impact on the aerosol optical properties obtained from vibrational–rotational Raman lidar observations

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1 citations
Atmospheric measurement techniques
Atmospheric aerosols and clouds
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article

Ångström exponent impact on the aerosol optical properties obtained from vibrational–rotational Raman lidar observations

Ronny Engelmann, Albert Ansmann, Julian Hofer, Holger Baars, Gladiola Malollari, Cristofer Jiménez, Nathan Skupin, Seit Shallari
article en
1 citations

Abstract

Abstract. Vertical profiles of aerosol properties are essential for assessing the impact of aerosols on cloud formation and the Earth's radiation budget. Lidars can provide profiles of the particle backscatter and extinction coefficients and the extinction-to-backscatter ratio (lidar ratio). An Ångström exponent has to be assumed when computing these profiles from nitrogen vibrational–rotational Raman signals. This assumption introduces uncertainties. An alternative approach is the rotational Raman lidar method, which does not need an Ångström exponent as input. This study presents a quantitative comparison between the pure rotational and vibrational–rotational Raman lidar approaches to assess the impact of the Ångström exponent assumption on the vibrational–rotational Raman lidar solutions. In this short article, we present four contrasting case studies based on observations of wildfire smoke, Saharan dust, residential wood combustion smoke, and a cirrus layer. The optical properties are derived at a wavelength of 532 nm, with the rotational Raman signals measured at 530 nm and the vibrational–rotational Raman signals measured at 607 nm. It was found that the use of an Ångström exponent, deviating by 1 from the true value, introduces relative uncertainties of 5 % and less (backscatter coefficient), 5 %–10 % (extinction coefficient), and around 10 % (lidar ratio) in the vibrational–rotational Raman lidar solutions.

Atmospheric measurement techniquesVol. 18(16)
Agricultural University of Tirana (AL), Leibniz Institute for Tropospheric Research (DE), University of Tirana (AL)
Deutsche Bundesstiftung Umwelt, Deutsche Gesellschaft für Internationale Zusammenarbeit, Leibniz-Gemeinschaft, Leibniz-Institut für Troposphärenforschung, FP7 International Cooperation
Openalex Percentile: Top 20%
Atmospheric aerosols and clouds
1.11
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