Articles | Volume 16, issue 3
https://doi.org/10.5194/acp-16-1565-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-16-1565-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Remote sensing of soot carbon – Part 1: Distinguishing different absorbing aerosol species
G. L. Schuster
CORRESPONDING AUTHOR
NASA Langley Research Center, Hampton, VA, USA
O. Dubovik
Laboratoire d'Optique Atmosphérique, Université de Lille-1, CNRS, Villeneuve d'Ascq, France
Finnish Meteorological Institute, Kuopio, Finland
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- Estimation of columnar concentrations of absorbing and scattering fine mode aerosol components using AERONET data Y. Choi & Y. Ghim 10.1002/2016JD025080
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- Comparative assessment of GRASP algorithm for a dust event over Granada (Spain) during ChArMEx-ADRIMED 2013 campaign J. Benavent-Oltra et al. 10.5194/amt-10-4439-2017
- Combining Mie–Raman and fluorescence observations: a step forward in aerosol classification with lidar technology I. Veselovskii et al. 10.5194/amt-15-4881-2022
- Single Scattering Albedo’s Spectral Dependence Effect on UV Irradiance I. Raptis et al. 10.3390/atmos9090364
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- Retrievals of fine mode light-absorbing carbonaceous aerosols from POLDER/PARASOL observations over East and South Asia L. Li et al. 10.1016/j.rse.2020.111913
- Algorithm for vertical distribution of boundary layer aerosol components in remote-sensing data F. Wang et al. 10.5194/amt-15-6127-2022
- Observationally constrained regional variations of shortwave absorption by iron oxides emphasize the cooling effect of dust V. Obiso et al. 10.5194/acp-24-5337-2024
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- Estimation of global black carbon direct radiative forcing and its uncertainty constrained by observations R. Wang et al. 10.1002/2015JD024326
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Short summary
We describe a method of using remote sensing of the refractive index to determine the relative contribution of carbonaceous aerosols and absorbing iron minerals. Monthly climatologies of fine mode soot carbon are low for West Africa and the Middle East, but the southern Africa and South America biomass burning sites have peak values that are much higher; this is consistent with expectations. Hence, refractive index is a practical parameter for quantifying soot carbon in the atmosphere.
We describe a method of using remote sensing of the refractive index to determine the relative...
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