04 Oct 2023
 | 04 Oct 2023
Status: this preprint is currently under review for the journal AMT.

Characterization of Particle Size Distribution Uncertainties using SAGE II and SAGE III/ISS Extinction Spectra

Travis N. Knepp, Mahesh Kovilakam, Larry Thomason, and Stephen J. Miller

Abstract. A new algorithm was developed to infer particle size distribution parameters from the Stratospheric Aerosol and Gas Experiment II (SAGE II) and SAGE III on the International Space Station (SAGE III/ISS) extinction spectra using a lookup table (LUT) approach. Here, the SAGE-based extinction ratios were matched to LUT values and, using these matches, weighted statistics were calculated to infer the median particle size distribution values as well as quantify the uncertainty in these estimates. This was carried out by solving for both single and bimodal lognormal distributions. The work presented herein falls under 2 general headings: 1. a theoretical study was carried out to determine the accuracy of this methodology; 2. the solution algorithm was applied to the SAGE II and SAGE III/ISS records with a brief case study analysis of the 2022 Hunga Tonga eruption.

Travis N. Knepp et al.

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-2023-207', Chris Boone, 01 Nov 2023
  • RC2: 'Comment on amt-2023-207', Anonymous Referee #2, 09 Nov 2023
  • RC3: 'Comment on amt-2023-207', Anonymous Referee #3, 14 Nov 2023

Travis N. Knepp et al.

Travis N. Knepp et al.


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Short summary
A new algorithm is presented to derive the size distribution of stratospheric particles from SAGE III/ISS extinction spectra. This is a significant improvement over previous techniques in that we now provide uncertainty estimates for all of the inferred parameters. We also evaluated the stability of this method in retrieving bimodal distribution parameters. We present a special application to the 2022 eruption of Hunga Tonga Hunga Ha'apai.