CCN Retrievals from Spaceborne Lidar Observations During ACEMED: Sensitivity to Smoke Parameterization

We present an improved algorithm based on the POlarization LIdar PHOtometer Networking (POLIPHON) method to retrieve cloud condensation nuclei (CCN) concentration profiles from spaceborne lidar observations. Our previous paper, which was the first study to demonstrate the feasibility of using measurements from Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) to retrieve CCN is revisited. Our results focus on the Evaluation of CALIPSO’s Aerosol Classification scheme over Eastern Mediterranean (ACEMED) research campaign that took place over Thessaloniki, Greece, in September 2011. We compare our results with our earlier retrievals, discussing the critical changes that have been made and the importance of using the proper conversions factors. We also demonstrate the use of conversion factors acquired based on CALIPSO aerosol typing for CCN retrievals. The analysis highlights the strong influence of smoke on CCN concentrations and shows that the assumed aging state of the smoke can significantly alter the retrieval outcome.

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Publication Details

Journal
Remote Sensing
Published
2026-02-13
DOI
https://doi.org/10.3390/rs18040586
Primary Topic
Atmospheric aerosols and clouds
Type
article
Field-Weighted Citation Impact
0.00

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article

CCN Retrievals from Spaceborne Lidar Observations During ACEMED: Sensitivity to Smoke Parameterization

Archontoula Karageorgopoulou, George Tatos, Emmanouil Proestakis, Aristeidis K. Georgoulias et al.
Remote Sensing
Atmospheric aerosols and clouds
article

CCN Retrievals from Spaceborne Lidar Observations During ACEMED: Sensitivity to Smoke Parameterization

Archontoula Karageorgopoulou, George Tatos, Emmanouil Proestakis, Aristeidis K. Georgoulias, Vassilis Amiridis, Elina Giannakaki
article en

Abstract

We present an improved algorithm based on the POlarization LIdar PHOtometer Networking (POLIPHON) method to retrieve cloud condensation nuclei (CCN) concentration profiles from spaceborne lidar observations. Our previous paper, which was the first study to demonstrate the feasibility of using measurements from Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) to retrieve CCN is revisited. Our results focus on the Evaluation of CALIPSO’s Aerosol Classification scheme over Eastern Mediterranean (ACEMED) research campaign that took place over Thessaloniki, Greece, in September 2011. We compare our results with our earlier retrievals, discussing the critical changes that have been made and the importance of using the proper conversions factors. We also demonstrate the use of conversion factors acquired based on CALIPSO aerosol typing for CCN retrievals. The analysis highlights the strong influence of smoke on CCN concentrations and shows that the assumed aging state of the smoke can significantly alter the retrieval outcome.

Remote SensingVol. 18(4)
National and Kapodistrian University of Athens (GR), Aristotle University of Thessaloniki (GR), National Observatory of Athens (GR)
European Space Agency, European Commission, Hellenic Foundation for Research and Innovation
Good health and well-being
Openalex Percentile: Top 69%
Atmospheric aerosols and clouds
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