Journal cover Journal topic
Atmospheric Measurement Techniques An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

Journal metrics

  • IF value: 3.248 IF 3.248
  • IF 5-year value: 3.650 IF 5-year
    3.650
  • CiteScore value: 3.37 CiteScore
    3.37
  • SNIP value: 1.253 SNIP 1.253
  • SJR value: 1.869 SJR 1.869
  • IPP value: 3.29 IPP 3.29
  • h5-index value: 47 h5-index 47
  • Scimago H <br class='hide-on-tablet hide-on-mobile'>index value: 60 Scimago H
    index 60
Discussion papers
https://doi.org/10.5194/amt-2019-122
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-2019-122
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 18 Apr 2019

Research article | 18 Apr 2019

Review status
This discussion paper is a preprint. It is a manuscript under review for the journal Atmospheric Measurement Techniques (AMT).

Aerosol-type classification based on AERONET version 3 inversion products

Sung-Kyun Shin1, Matthias Tesche2, Youngmin Noh3, and Detlef Müller1 Sung-Kyun Shin et al.
  • 1School of Physics, Astronomy and Mathematics, University of Hertfordshire, Hatfield, United Kingdom
  • 2Leipzig Institute for Meteorology, Leipzig University, Leipzig, Germany
  • 3Department of Environmental Engineering, Pukyong National University, Busan, Republic of Korea

Abstract. This study proposes an aerosol-type classification based on the particle linear depolarization ratio (PLDR) and single scattering albedo (SSA) provided in the AErosol RObotic NETwork (AERONET) version 3 level 2.0 inversion product. We compare our aerosol-type classification with an earlier method that uses fine-mode fraction (FMF) and SSA. Our new method allows for a refined classification of mineral dust that occurs as a mixture with other absorbing aerosols: pure dust (PD), dust-dominated mixed plume (DDM), and pollutant-dominated mixed plume (PDM). We test the aerosol classification at AERONET sites in East Asia that are frequently affected by mixtures of Asian dust and biomass-burning smoke or anthropogenic pollution. We find that East Asia is strongly affected by pollution particles with high occurrence frequencies of 50 % to 67 %. The distribution and types of pollution particles vary with location and season. The frequency of PD and dusty aerosol mixture (DDM+PDM) is slightly lower (34 % to 49 %) than pollution-dominated mixtures. Pure dust particles have been detected in only 1 % of observations. This suggests that East Asian dust plumes generally exist in a mixture with pollution aerosols rather than in pure form. In this study, we have also considered data from selected AERONET sites that are representative of anthropogenic pollution, biomass-burning smoke, and mineral dust. We find that average aerosol properties obtained for aerosol types in our PLDR-SSA-based classification agree reasonably well with those obtained at AERONET sites representative for different aerosol types.

Sung-Kyun Shin et al.
Interactive discussion
Status: open (until 13 Jun 2019)
Status: open (until 13 Jun 2019)
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
[Subscribe to comment alert] Printer-friendly Version - Printer-friendly version Supplement - Supplement
Sung-Kyun Shin et al.
Sung-Kyun Shin et al.
Viewed  
Total article views: 311 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
211 100 0 311 0 4
  • HTML: 211
  • PDF: 100
  • XML: 0
  • Total: 311
  • BibTeX: 0
  • EndNote: 4
Views and downloads (calculated since 18 Apr 2019)
Cumulative views and downloads (calculated since 18 Apr 2019)
Viewed (geographical distribution)  
Total article views: 233 (including HTML, PDF, and XML) Thereof 232 with geography defined and 1 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Cited  
Saved  
No saved metrics found.
Discussed  
No discussed metrics found.
Latest update: 26 May 2019
Publications Copernicus
Download
Short summary
This study proposes an aerosol-type classification based on parameters from the AErosol RObotic NETwork (AERONET) version 3 level 2.0 inversion product that describe light depolarization and absorption properties of atmospheric particles. We compare our classification with an earlier method and find that the new approach allows for a refined classification of mineral dust that occurs as a mixture with other absorbing aerosols.
This study proposes an aerosol-type classification based on parameters from the AErosol RObotic...
Citation