Articles | Volume 15, issue 9
https://doi.org/10.5194/amt-15-2745-2022
© Author(s) 2022. 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-15-2745-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
06 May 2022
Research article |
| 06 May 2022
| 06 May 2022
Assessment of tropospheric CALIPSO Version 4.2 aerosol types over the ocean using independent CALIPSO–SODA lidar ratios
Zhujun Li
Science Systems and Applications Systems, Inc., Hampton, VA 23666, USA
NASA Langley Research Center, Hampton, VA 23681, USA
David Painemal
CORRESPONDING AUTHOR
Science Systems and Applications Systems, Inc., Hampton, VA 23666, USA
NASA Langley Research Center, Hampton, VA 23681, USA
Gregory Schuster
NASA Langley Research Center, Hampton, VA 23681, USA
Marian Clayton
Science Systems and Applications Systems, Inc., Hampton, VA 23666, USA
NASA Langley Research Center, Hampton, VA 23681, USA
Richard Ferrare
NASA Langley Research Center, Hampton, VA 23681, USA
Mark Vaughan
NASA Langley Research Center, Hampton, VA 23681, USA
Damien Josset
U.S. Naval Research Laboratory, Stennis Space Center, MS, 39529, USA
Jayanta Kar
Science Systems and Applications Systems, Inc., Hampton, VA 23666, USA
NASA Langley Research Center, Hampton, VA 23681, USA
Charles Trepte
NASA Langley Research Center, Hampton, VA 23681, USA
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Cited
12 citations as recorded by crossref.
- Regime-based aerosol–cloud interactions from CALIPSO-MODIS and the Energy Exascale Earth System Model version 2 (E3SMv2) over the Eastern North Atlantic X. Zheng et al. https://doi.org/10.5194/acp-25-17473-2025
- Spatiotemporal distribution characteristics of aerosols over the South China Sea based an improved spaceborne-Lidar aerosol identification algorithm H. Yang et al. https://doi.org/10.1364/OE.573891
- Climatology of aerosol types and their vertical distribution over Iran using CALIOP dataset during 2007–2021 E. Ghasemifar https://doi.org/10.1016/j.rsase.2023.101053
- Airborne HSRL-2 measurements of elevated aerosol depolarization associated with non-spherical sea salt R. Ferrare et al. https://doi.org/10.3389/frsen.2023.1143944
- Theoretical derivation of aerosol lidar ratio using Mie theory for CALIOP-CALIPSO and OPAC aerosol models R. Chipade & M. Pandya https://doi.org/10.5194/amt-16-5443-2023
- 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. https://doi.org/10.3390/rs16101689
- Discussion of the spectral slope of the lidar ratio between 355 and 1064 nm from multiwavelength Raman lidar observations M. Haarig et al. https://doi.org/10.5194/acp-25-7741-2025
- Long-term spatiotemporal features of aerosol optical characteristics and relative humidity in China’s offshore areas J. He et al. https://doi.org/10.1080/10095020.2024.2447445
- Mapping 532 nm lidar ratios for CALIPSO-classified marine aerosols using MODIS AOD constrained retrievals and GOCART model simulations T. Toth et al. https://doi.org/10.5194/amt-18-6765-2025
- Comparison of diurnal aerosol products retrieved from combinations of micro-pulse lidar and sun photometer observations over the KAUST observation site A. Lopatin et al. https://doi.org/10.5194/amt-17-4445-2024
- Raman‑Mie激光雷达的气溶胶反演方法分析及优化 沈. Shen Ji et al. https://doi.org/10.3788/CJL250555
- Enhancing dust aerosols monitoring capabilities across North Africa and the Middle East using the A-Train satellite constellation A. Moustaka et al. https://doi.org/10.5194/amt-19-1201-2026
12 citations as recorded by crossref.
- Regime-based aerosol–cloud interactions from CALIPSO-MODIS and the Energy Exascale Earth System Model version 2 (E3SMv2) over the Eastern North Atlantic X. Zheng et al. https://doi.org/10.5194/acp-25-17473-2025
- Spatiotemporal distribution characteristics of aerosols over the South China Sea based an improved spaceborne-Lidar aerosol identification algorithm H. Yang et al. https://doi.org/10.1364/OE.573891
- Climatology of aerosol types and their vertical distribution over Iran using CALIOP dataset during 2007–2021 E. Ghasemifar https://doi.org/10.1016/j.rsase.2023.101053
- Airborne HSRL-2 measurements of elevated aerosol depolarization associated with non-spherical sea salt R. Ferrare et al. https://doi.org/10.3389/frsen.2023.1143944
- Theoretical derivation of aerosol lidar ratio using Mie theory for CALIOP-CALIPSO and OPAC aerosol models R. Chipade & M. Pandya https://doi.org/10.5194/amt-16-5443-2023
- 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. https://doi.org/10.3390/rs16101689
- Discussion of the spectral slope of the lidar ratio between 355 and 1064 nm from multiwavelength Raman lidar observations M. Haarig et al. https://doi.org/10.5194/acp-25-7741-2025
- Long-term spatiotemporal features of aerosol optical characteristics and relative humidity in China’s offshore areas J. He et al. https://doi.org/10.1080/10095020.2024.2447445
- Mapping 532 nm lidar ratios for CALIPSO-classified marine aerosols using MODIS AOD constrained retrievals and GOCART model simulations T. Toth et al. https://doi.org/10.5194/amt-18-6765-2025
- Comparison of diurnal aerosol products retrieved from combinations of micro-pulse lidar and sun photometer observations over the KAUST observation site A. Lopatin et al. https://doi.org/10.5194/amt-17-4445-2024
- Raman‑Mie激光雷达的气溶胶反演方法分析及优化 沈. Shen Ji et al. https://doi.org/10.3788/CJL250555
- Enhancing dust aerosols monitoring capabilities across North Africa and the Middle East using the A-Train satellite constellation A. Moustaka et al. https://doi.org/10.5194/amt-19-1201-2026
Saved (final revised paper)
Latest update: 01 Jun 2026
Short summary
For more than 15 years, CALIPSO has revolutionized our understanding of the role of aerosols in climate. Here we evaluate CALIPSO aerosol typing over the ocean using an independent CALIPSO–CloudSat product. The analysis suggests that CALIPSO correctly categorizes clean marine aerosol over the open ocean, elevated smoke over the SE Atlantic, and dust over the tropical Atlantic. Similarities between clean and dusty marine over the open ocean implies that algorithm modifications are warranted.
For more than 15 years, CALIPSO has revolutionized our understanding of the role of aerosols in...
