Articles | Volume 20, issue 11
https://doi.org/10.5194/acp-20-6455-2020
https://doi.org/10.5194/acp-20-6455-2020
Research article
 | 
04 Jun 2020
Research article |  | 04 Jun 2020

Understanding and improving model representation of aerosol optical properties for a Chinese haze event measured during KORUS-AQ

Pablo E. Saide, Meng Gao, Zifeng Lu, Daniel L. Goldberg, David G. Streets, Jung-Hun Woo, Andreas Beyersdorf, Chelsea A. Corr, Kenneth L. Thornhill, Bruce Anderson, Johnathan W. Hair, Amin R. Nehrir, Glenn S. Diskin, Jose L. Jimenez, Benjamin A. Nault, Pedro Campuzano-Jost, Jack Dibb, Eric Heim, Kara D. Lamb, Joshua P. Schwarz, Anne E. Perring, Jhoon Kim, Myungje Choi, Brent Holben, Gabriele Pfister, Alma Hodzic, Gregory R. Carmichael, Louisa Emmons, and James H. Crawford

Viewed

Total article views: 3,280 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,209 1,023 48 3,280 59 67
  • HTML: 2,209
  • PDF: 1,023
  • XML: 48
  • Total: 3,280
  • BibTeX: 59
  • EndNote: 67
Views and downloads (calculated since 25 Nov 2019)
Cumulative views and downloads (calculated since 25 Nov 2019)

Viewed (geographical distribution)

Total article views: 3,280 (including HTML, PDF, and XML) Thereof 3,244 with geography defined and 36 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 13 Dec 2024
Download
Short summary
Air quality forecasts over the Korean Peninsula captured aerosol optical depth but largely overpredicted surface PM during a Chinese haze transport event. Model deficiency was related to the calculation of optical properties. In order to improve it, aerosol size representation needs to be refined in the calculations, and the representation of aerosol properties, such as size distribution, chemical composition, refractive index, hygroscopicity parameter, and density, needs to be improved.
Altmetrics
Final-revised paper
Preprint