Articles | Volume 17, issue 11
https://doi.org/10.5194/acp-17-7003-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-17-7003-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
14 Jun 2017
Research article |
| 14 Jun 2017
Investigating the quality of modeled aerosol profiles based on combined lidar and sunphotometer data
Laboratory of Atmospheric Physics, Physics Department, Aristotle
University of Thessaloniki, Thessaloniki, Greece
Dimitris S. Balis
Laboratory of Atmospheric Physics, Physics Department, Aristotle
University of Thessaloniki, Thessaloniki, Greece
Anastasia Poupkou
Laboratory of Atmospheric Physics, Physics Department, Aristotle
University of Thessaloniki, Thessaloniki, Greece
Natalia Liora
Laboratory of Atmospheric Physics, Physics Department, Aristotle
University of Thessaloniki, Thessaloniki, Greece
Spyridon Dimopoulos
Laboratory of Atmospheric Physics, Physics Department, Aristotle
University of Thessaloniki, Thessaloniki, Greece
Dimitris Melas
Laboratory of Atmospheric Physics, Physics Department, Aristotle
University of Thessaloniki, Thessaloniki, Greece
Eleni Giannakaki
Finnish
Meteorological Institute, Atmospheric Research Centre of Eastern Finland,
Kuopio, Finland
Department of
Environmental Physics and Meteorology, Faculty of Physics, University of
Athens, Athens, Greece
Maria Filioglou
Laboratory of Atmospheric Physics, Physics Department, Aristotle
University of Thessaloniki, Thessaloniki, Greece
Finnish
Meteorological Institute, Atmospheric Research Centre of Eastern Finland,
Kuopio, Finland
Sara Basart
Earth Sciences Department, Barcelona
Supercomputing Center, BSC-CNS, Barcelona, Spain
Anatoli Chaikovsky
Institute of
Physics, National Academy of Science, Minsk, Belarus
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Cited
14 citations as recorded by crossref.
- Temporal and spatial characteristics of PM2.5 transport fluxes of typical inland and coastal cities in China P. Guan et al. 10.1016/j.jes.2020.10.017
- Interrelations between surface, boundary layer, and columnar aerosol properties derived in summer and early autumn over a continental urban site in Warsaw, Poland D. Wang et al. 10.5194/acp-19-13097-2019
- Assessing Sea-State Effects on Sea-Salt Aerosol Modeling in the Lower Atmosphere Using Lidar and In-Situ Measurements G. Varlas et al. 10.3390/rs13040614
- Automated Aerosol Classification from Spectral UV Measurements Using Machine Learning Clustering N. Siomos et al. 10.3390/rs12060965
- Lidar Ratio Regional Transfer Method for Extinction Coefficient Accuracy Improvement in Lidar Networks Y. Tong et al. 10.3390/rs14030626
- GARRLiC and LIRIC: strengths and limitations for the characterization of dust and marine particles along with their mixtures A. Tsekeri et al. 10.5194/amt-10-4995-2017
- Combined sun-photometer–lidar inversion: lessons learned during the EARLINET/ACTRIS COVID-19 campaign A. Tsekeri et al. 10.5194/amt-16-6025-2023
- Evaluation of Aerosol Typing with Combination of Remote Sensing Techniques with In Situ Data during the PANACEA Campaigns in Thessaloniki Station, Greece K. Voudouri et al. 10.3390/rs14205076
- A sensitivity study of the LIdar-Radiometer Inversion Code (LIRIC) using selected cases from Thessaloniki, Greece database M. Filioglou et al. 10.1080/01431161.2017.1384589
- Assessment of smoke plume height products derived from multisource satellite observations using lidar-derived height metrics for wildfires in the western US J. Huang et al. 10.5194/acp-24-3673-2024
- Evaluation of ECMWF-IFS (version 41R1) operational model forecasts of aerosol transport by using ceilometer network measurements K. Chan et al. 10.5194/gmd-11-3807-2018
- Insights into the temporal and spatial characteristics of PM2.5 transport flux across the district, city and region in the North China Plain H. Zhang et al. 10.1016/j.atmosenv.2019.117010
- First validation of GOME-2/MetOp absorbing aerosol height using EARLINET lidar observations K. Michailidis et al. 10.5194/acp-21-3193-2021
- Are EARLINET and AERONET climatologies consistent? The case of Thessaloniki, Greece N. Siomos et al. 10.5194/acp-18-11885-2018
14 citations as recorded by crossref.
- Temporal and spatial characteristics of PM2.5 transport fluxes of typical inland and coastal cities in China P. Guan et al. 10.1016/j.jes.2020.10.017
- Interrelations between surface, boundary layer, and columnar aerosol properties derived in summer and early autumn over a continental urban site in Warsaw, Poland D. Wang et al. 10.5194/acp-19-13097-2019
- Assessing Sea-State Effects on Sea-Salt Aerosol Modeling in the Lower Atmosphere Using Lidar and In-Situ Measurements G. Varlas et al. 10.3390/rs13040614
- Automated Aerosol Classification from Spectral UV Measurements Using Machine Learning Clustering N. Siomos et al. 10.3390/rs12060965
- Lidar Ratio Regional Transfer Method for Extinction Coefficient Accuracy Improvement in Lidar Networks Y. Tong et al. 10.3390/rs14030626
- GARRLiC and LIRIC: strengths and limitations for the characterization of dust and marine particles along with their mixtures A. Tsekeri et al. 10.5194/amt-10-4995-2017
- Combined sun-photometer–lidar inversion: lessons learned during the EARLINET/ACTRIS COVID-19 campaign A. Tsekeri et al. 10.5194/amt-16-6025-2023
- Evaluation of Aerosol Typing with Combination of Remote Sensing Techniques with In Situ Data during the PANACEA Campaigns in Thessaloniki Station, Greece K. Voudouri et al. 10.3390/rs14205076
- A sensitivity study of the LIdar-Radiometer Inversion Code (LIRIC) using selected cases from Thessaloniki, Greece database M. Filioglou et al. 10.1080/01431161.2017.1384589
- Assessment of smoke plume height products derived from multisource satellite observations using lidar-derived height metrics for wildfires in the western US J. Huang et al. 10.5194/acp-24-3673-2024
- Evaluation of ECMWF-IFS (version 41R1) operational model forecasts of aerosol transport by using ceilometer network measurements K. Chan et al. 10.5194/gmd-11-3807-2018
- Insights into the temporal and spatial characteristics of PM2.5 transport flux across the district, city and region in the North China Plain H. Zhang et al. 10.1016/j.atmosenv.2019.117010
- First validation of GOME-2/MetOp absorbing aerosol height using EARLINET lidar observations K. Michailidis et al. 10.5194/acp-21-3193-2021
- Are EARLINET and AERONET climatologies consistent? The case of Thessaloniki, Greece N. Siomos et al. 10.5194/acp-18-11885-2018
Latest update: 19 Apr 2024
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.
This study presents an evaluation of an air quality model using aerosol measurements from...
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