Preprints
https://doi.org/10.5194/amt-2023-260
https://doi.org/10.5194/amt-2023-260
22 Dec 2023
 | 22 Dec 2023
Status: a revised version of this preprint is currently under review for the journal AMT.

An Empirical Characterization of the Aerosol Ångström Exponent Interpolation Bias using SAGE III/ISS Data

Robert P. Damadeo, Viktoria F. Sofieva, Alexei Rozanov, and Larry W. Thomason

Abstract. This work uses multispectral measurements of vertically resolved aerosol extinction coefficient from the Stratospheric Aerosol and Gas Experiment (SAGE) III on the International Space Station (ISS) to demonstrate how the use of the Ångström exponent for interpolation of aerosol data between two different wavelengths creates a bias. An empirical relationship is derived between the magnitude of this bias and the Ångström exponent at several different SAGE wavelengths. This relationship can thus be used as a correction factor for other studies that wish to convert aerosol data from one wavelength to another using the Ångström exponent and is applicable to all stratospheric non-cloud aerosol except highly aged particles that are evaporating at altitudes above the Junge layer.

Robert P. Damadeo, Viktoria F. Sofieva, Alexei Rozanov, and Larry W. Thomason

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on amt-2023-260', Anonymous Referee #1, 26 Jan 2024
    • AC1: 'Reply on RC1', Robert Damadeo, 21 Mar 2024
  • RC2: 'Referee comment on amt-2023-260', Anonymous Referee #2, 02 Feb 2024
    • AC2: 'Reply on RC2', Robert Damadeo, 21 Mar 2024
Robert P. Damadeo, Viktoria F. Sofieva, Alexei Rozanov, and Larry W. Thomason
Robert P. Damadeo, Viktoria F. Sofieva, Alexei Rozanov, and Larry W. Thomason

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Short summary
Comparing different aerosol data sets for scientific studies often require converting aerosol extinction data between different wavelengths. A common approximation for the spectral behavior of aerosol is the Ångström formula, but this introduces biases. Using measurements across many different wavelengths from a single instrument, we derive an empirical relationship to both characterize this bias and offer a correction for other studies that may employ this analysis approach.