Articles | Volume 16, issue 3
https://doi.org/10.5194/amt-16-745-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-16-745-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
09 Feb 2023
Research article |
| 09 Feb 2023
| 09 Feb 2023
The CALIPSO version 4.5 stratospheric aerosol subtyping algorithm
Jason L. Tackett
CORRESPONDING AUTHOR
NASA Langley Research Center, Hampton, VA, USA
Jayanta Kar
Science Systems and Applications, Inc., Hampton, VA, USA
Mark A. Vaughan
NASA Langley Research Center, Hampton, VA, USA
Brian J. Getzewich
NASA Langley Research Center, Hampton, VA, USA
Man-Hae Kim
School of Earth and Environmental Sciences, Seoul National University, Seoul, South Korea
Jean-Paul Vernier
National Institute of Aerospace Associates, Hampton, VA, USA
Ali H. Omar
NASA Langley Research Center, Hampton, VA, USA
Brian E. Magill
Science Systems and Applications, Inc., Hampton, VA, USA
Michael C. Pitts
NASA Langley Research Center, Hampton, VA, USA
David M. Winker
NASA Langley Research Center, Hampton, VA, USA
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Cited
13 citations as recorded by crossref.
- HETEAC – the Hybrid End-To-End Aerosol Classification model for EarthCARE U. Wandinger et al. 10.5194/amt-16-2485-2023
- Ice nucleation by volcanic ash greatly alters cirrus cloud properties L. Lin et al. 10.1126/sciadv.ads0572
- Large-Scale Network-Based Observations of a Saharan Dust Event across the European Continent in Spring 2022 C. Papanikolaou et al. 10.3390/rs16173350
- Assessing Lidar Ratio Impact on CALIPSO Retrievals Utilized for the Estimation of Aerosol SW Radiative Effects across North Africa, the Middle East, and Europe A. Moustaka et al. 10.3390/rs16101689
- Machine learning-based generation of high-resolution 3D full-coverage aerosol distribution data over China using multisource data W. Li et al. 10.1016/j.rse.2025.114772
- Study on typical dust aerosol transport processes and radiative effects in Central Asia using EOF decomposition Y. Gan et al. 10.1016/j.gloplacha.2025.104869
- DeLiAn – a growing collection of depolarization ratio, lidar ratio and Ångström exponent for different aerosol types and mixtures from ground-based lidar observations A. Floutsi et al. 10.5194/amt-16-2353-2023
- Statistics of Smoke Sphericity and Optical Properties Using Spaceborne Lidar Measurements N. Midzak et al. 10.3390/rs17030409
- Long range transport of South and East Asian anthropogenic aerosols counteracting Arctic warming S. Fadnavis et al. 10.1038/s41612-024-00633-1
- Investigating a Persistent Stratospheric Aerosol Layer Observed over Southern Europe during 2019 K. Voudouri et al. 10.3390/rs15225394
- Tropospheric sulfate from Cumbre Vieja (La Palma) observed over Cabo Verde contrasted with background conditions: a lidar case study of aerosol extinction, backscatter, depolarization and lidar ratio profiles at 355, 532 and 1064 nm H. Gebauer et al. 10.5194/acp-24-5047-2024
- HETEAC-Flex: an optimal estimation method for aerosol typing based on lidar-derived intensive optical properties A. Floutsi et al. 10.5194/amt-17-693-2024
- Characterization of dust aerosols from ALADIN and CALIOP measurements R. Song et al. 10.5194/amt-17-2521-2024
13 citations as recorded by crossref.
- HETEAC – the Hybrid End-To-End Aerosol Classification model for EarthCARE U. Wandinger et al. 10.5194/amt-16-2485-2023
- Ice nucleation by volcanic ash greatly alters cirrus cloud properties L. Lin et al. 10.1126/sciadv.ads0572
- Large-Scale Network-Based Observations of a Saharan Dust Event across the European Continent in Spring 2022 C. Papanikolaou et al. 10.3390/rs16173350
- Assessing Lidar Ratio Impact on CALIPSO Retrievals Utilized for the Estimation of Aerosol SW Radiative Effects across North Africa, the Middle East, and Europe A. Moustaka et al. 10.3390/rs16101689
- Machine learning-based generation of high-resolution 3D full-coverage aerosol distribution data over China using multisource data W. Li et al. 10.1016/j.rse.2025.114772
- Study on typical dust aerosol transport processes and radiative effects in Central Asia using EOF decomposition Y. Gan et al. 10.1016/j.gloplacha.2025.104869
- DeLiAn – a growing collection of depolarization ratio, lidar ratio and Ångström exponent for different aerosol types and mixtures from ground-based lidar observations A. Floutsi et al. 10.5194/amt-16-2353-2023
- Statistics of Smoke Sphericity and Optical Properties Using Spaceborne Lidar Measurements N. Midzak et al. 10.3390/rs17030409
- Long range transport of South and East Asian anthropogenic aerosols counteracting Arctic warming S. Fadnavis et al. 10.1038/s41612-024-00633-1
- Investigating a Persistent Stratospheric Aerosol Layer Observed over Southern Europe during 2019 K. Voudouri et al. 10.3390/rs15225394
- Tropospheric sulfate from Cumbre Vieja (La Palma) observed over Cabo Verde contrasted with background conditions: a lidar case study of aerosol extinction, backscatter, depolarization and lidar ratio profiles at 355, 532 and 1064 nm H. Gebauer et al. 10.5194/acp-24-5047-2024
- HETEAC-Flex: an optimal estimation method for aerosol typing based on lidar-derived intensive optical properties A. Floutsi et al. 10.5194/amt-17-693-2024
- Characterization of dust aerosols from ALADIN and CALIOP measurements R. Song et al. 10.5194/amt-17-2521-2024
Latest update: 18 May 2025
Short summary
The accurate identification of aerosol types in the stratosphere is important to characterize their impacts on the Earth climate system. The space-borne lidar on board CALIPSO is well-posed to identify aerosols in the stratosphere from volcanic eruptions and major wildfire events. This paper describes improvements implemented in the version 4.5 CALIPSO data release to more accurately discriminate between volcanic ash, sulfate, and smoke within the stratosphere.
The accurate identification of aerosol types in the stratosphere is important to characterize...
