Quantifying the single-scattering albedo for the January 2017 Chile wildfires from simulations of the OMI absorbing aerosol index

Sun, Jiyunting; Veefkind, J. Pepijn; van Velthoven, Peter; Levelt, Pieternel F.

doi:https://doi.org/10.5194/amt-11-5261-2018

Articles | Volume 11, issue 9

https://doi.org/10.5194/amt-11-5261-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/amt-11-5261-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 11, issue 9

Research article

|

19 Sep 2018

Research article |

| 19 Sep 2018

Quantifying the single-scattering albedo for the January 2017 Chile wildfires from simulations of the OMI absorbing aerosol index

Jiyunting Sun, J. Pepijn Veefkind, Peter van Velthoven, and Pieternel F. Levelt

Data sets

GOME-2 Absorbing Aerosol Index: Statistical analysis, comparison to GOME-1 and impact of instrument degradation L. G. Tilstra, O. N. Tuinder, and P. Stammes http://archive.eumetsat.int

OMI Algorithm Theoretical Basis Document Volume III: Clouds, Aerosols, and Surface UV Irradiance, Tech. Rep. ATBD-OMI-03, Version 2.0 P. Stammes and R. Noordhoek https://disc.gsfc.nasa.gov

The Collection 6 MODIS aerosol products over land and ocean (https://ladsweb.modaps.eosdis.nasa.gov) R. C. Levy, S. Mattoo, L. A. Munchak, L. A. Remer, A. M. Sayer, F. Patadia, and N. C. Hsu https://doi.org/10.5194/amt-6-2989-2013

A flexible inversion algorithm for retrieval of aerosol optical properties from sun and sky radiance measurements O. Dubovik and M. D. King https://aeronet.gsfc.nasa.gov

Accuracy assessments of aerosol optical properties retrieved from AERONET sun and sky radiance measurements O. Dubovik, A. Smirnov, B. N. Holben, M. D. King, Y. J. Kaufman, and I. Slutsker https://aeronet.gsfc.nasa.gov

Overview of the CALIPSO mission and CALIOP data processing algorithms (https://eosweb.larc.nasa.gov/project/calipso/calipso_table) D. M. Winker, M. A. Vaughan, A. Omar, Y. Hu, K. A. Powell, Z. Liu, W. H. Hunt, and S. A. Young https://doi.org/10.1175/2009JTECHA1281.1

Short summary

Near-UV AAI is a qualitative parameter detecting the elevated absorbing aerosol layer. A long-term AAI record of satellite observations has the potential to quantify aerosol absorption on a global scale. Our study presents the possibility of retrieving single-scattering albedo with OMI-measured AAI. The comparison with AERONET is satisfactory and further research will be on how the aerosol wavelength-dependent refractive index and aerosol profile affect the quantification of aerosol absorption.