Articles | Volume 17, issue 11
https://doi.org/10.5194/acp-17-7003-2017
https://doi.org/10.5194/acp-17-7003-2017
Research article
 | 
14 Jun 2017
Research article |  | 14 Jun 2017

Investigating the quality of modeled aerosol profiles based on combined lidar and sunphotometer data

Nikolaos Siomos, Dimitris S. Balis, Anastasia Poupkou, Natalia Liora, Spyridon Dimopoulos, Dimitris Melas, Eleni Giannakaki, Maria Filioglou, Sara Basart, and Anatoli Chaikovsky

Viewed

Total article views: 3,031 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,905 992 134 3,031 78 104
  • HTML: 1,905
  • PDF: 992
  • XML: 134
  • Total: 3,031
  • BibTeX: 78
  • EndNote: 104
Views and downloads (calculated since 13 Jan 2017)
Cumulative views and downloads (calculated since 13 Jan 2017)

Viewed (geographical distribution)

Total article views: 3,031 (including HTML, PDF, and XML) Thereof 3,011 with geography defined and 20 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 20 Nov 2024
Download
Short summary
This study presents an evaluation of an air quality model using aerosol measurements from radiometric and lidar data at Thessaloniki, Greece. The aerosol mass concentration profiles of CAMx are compared against the fine and coarse mode aerosol concentration profiles retrieved by the Lidar-Radiometer Inversion Code (LIRIC). The CAMx model and the LIRIC algorithm results were compared in terms of mean mass concentration profiles, center of mass and integrated mass concentration.
Altmetrics
Final-revised paper
Preprint