Articles | Volume 17, issue 11
Atmos. Chem. Phys., 17, 7003–7023, 2017
https://doi.org/10.5194/acp-17-7003-2017

Special issue: EARLINET aerosol profiling: contributions to atmospheric and...

Atmos. Chem. Phys., 17, 7003–7023, 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 et al.

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AR: Author's response | RR: Referee report | ED: Editor decision
AR by Dimitris Balis on behalf of the Authors (13 Apr 2017)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (13 Apr 2017) by Albert Ansmann
RR by Anonymous Referee #1 (16 Apr 2017)
ED: Publish as is (01 May 2017) by Albert Ansmann
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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.
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