Preprints
https://doi.org/10.5194/acp-2017-1104
https://doi.org/10.5194/acp-2017-1104
04 Dec 2017
 | 04 Dec 2017
Status: this preprint has been retracted.

Key factors affecting single scattering albedo calculation: Implications for aerosol climate forcing

Duseong S. Jo, Rokjin J. Park, Jaein I. Jeong, Gabriele Curci, Hyung-Min Lee, and Sang-Woo Kim

Abstract. Single Scattering Albedo (SSA), the ratio of scattering efficiency to total extinction efficiency, is an essential parameter used to estimate the Direct Radiative Forcing (DRF) of aerosols. However, SSA is one of the large contributors to the uncertainty of DRF estimations. In this study, we examined the sensitivity of SSA calculations to the physical properties of absorbing aerosols, in particular, Black Carbon (BC), Brown Carbon (BrC), and dust. We used GEOS-Chem 3-D global chemical transport model (CTM) simulations and a post-processing tool for the aerosol optical properties (FlexAOD). The model and input parameters were evaluated by comparison against the observed aerosol mass concentrations and the Aerosol Optical Depth (AOD) values obtained from global surface observation networks such as the global Aerosol Mass Spectrometer (AMS) dataset, the Surface Particulate Matter Network (SPARTAN), and the Aerosol Robotic Network (AERONET). The model was generally successful in reproducing the observed variability of both the Particulate Matter 2.5 μm (PM2.5) and AOD (R ~ 0.76) values, although it underestimated the magnitudes by approximately 20 %. Our sensitivity tests of the SSA calculation revealed that the aerosol physical parameters, which have generally received less attention than the aerosol mass loadings, can cause large uncertainties in the resulting DRF estimation. For example, large variations in the calculated BC absorption may result from slight changes of the geometric mean radius, geometric standard deviation, real and imaginary refractive indices, and density. The inclusion of BrC and observationally-constrained dust size distributions also significantly affected the SSA, and resulted in a remarkable improvement for the simulated SSA at 440 nm (bias was reduced by 44–49 %) compared with the AERONET observations. Based on the simulations performed during this study, we found that the global aerosol direct radiative effect was increased by 10 % after the SSA bias was reduced.

This preprint has been retracted.

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this preprint. The responsibility to include appropriate place names lies with the authors.
Duseong S. Jo, Rokjin J. Park, Jaein I. Jeong, Gabriele Curci, Hyung-Min Lee, and Sang-Woo Kim

Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement
Duseong S. Jo, Rokjin J. Park, Jaein I. Jeong, Gabriele Curci, Hyung-Min Lee, and Sang-Woo Kim
Duseong S. Jo, Rokjin J. Park, Jaein I. Jeong, Gabriele Curci, Hyung-Min Lee, and Sang-Woo Kim

Viewed

Total article views: 2,148 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,384 691 73 2,148 188 84 80
  • HTML: 1,384
  • PDF: 691
  • XML: 73
  • Total: 2,148
  • Supplement: 188
  • BibTeX: 84
  • EndNote: 80
Views and downloads (calculated since 04 Dec 2017)
Cumulative views and downloads (calculated since 04 Dec 2017)

Viewed (geographical distribution)

Total article views: 2,166 (including HTML, PDF, and XML) Thereof 2,163 with geography defined and 3 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 09 Oct 2024
Download

This preprint has been retracted.

Altmetrics