Articles | Volume 11, issue 3
https://doi.org/10.5194/amt-11-1459-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/amt-11-1459-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
14 Mar 2018
Research article |
| 14 Mar 2018
| 14 Mar 2018
CALIPSO lidar calibration at 532 nm: version 4 nighttime algorithm
Science Systems and Applications Inc., Hampton, VA, USA
NASA Langley Research Center, Hampton, VA, USA
Mark A. Vaughan
NASA Langley Research Center, Hampton, VA, USA
Kam-Pui Lee
Science Systems and Applications Inc., Hampton, VA, USA
NASA Langley Research Center, Hampton, VA, USA
Jason L. Tackett
Science Systems and Applications Inc., Hampton, VA, USA
NASA Langley Research Center, Hampton, VA, USA
Melody A. Avery
NASA Langley Research Center, Hampton, VA, USA
Anne Garnier
Science Systems and Applications Inc., Hampton, VA, USA
Brian J. Getzewich
Science Systems and Applications Inc., Hampton, VA, USA
NASA Langley Research Center, Hampton, VA, USA
William H. Hunt
Science Systems and Applications Inc., Hampton, VA, USA
NASA Langley Research Center, Hampton, VA, USA
deceased
Damien Josset
Science Systems and Applications Inc., Hampton, VA, USA
NASA Langley Research Center, Hampton, VA, USA
now at: US Naval Research Laboratory, Stennis Space Center,
MS, USA
Zhaoyan Liu
NASA Langley Research Center, Hampton, VA, USA
Patricia L. Lucker
Science Systems and Applications Inc., Hampton, VA, USA
NASA Langley Research Center, Hampton, VA, USA
Brian Magill
Science Systems and Applications Inc., Hampton, VA, USA
NASA Langley Research Center, Hampton, VA, USA
Ali H. Omar
NASA Langley Research Center, Hampton, VA, USA
Jacques Pelon
LATMOS, Université de Versailles Saint Quentin, CNRS,
Verrières le Buisson, France
Raymond R. Rogers
NASA Langley Research Center, Hampton, VA, USA
now at: Lord Fairfax Community College, Middletown, VA, USA
Travis D. Toth
NASA Langley Research Center, Hampton, VA, USA
Department of Atmospheric Sciences, University of North
Dakota, Grand Forks, ND, USA
Charles R. Trepte
NASA Langley Research Center, Hampton, VA, USA
Jean-Paul Vernier
Science Systems and Applications Inc., Hampton, VA, USA
NASA Langley Research Center, Hampton, VA, USA
David M. Winker
NASA Langley Research Center, Hampton, VA, USA
Stuart A. Young
Science Systems and Applications Inc., Hampton, VA, USA
Viewed
Total article views: 5,857 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 02 Nov 2017)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 3,874 | 1,779 | 204 | 5,857 | 220 | 243 |
- HTML: 3,874
- PDF: 1,779
- XML: 204
- Total: 5,857
- BibTeX: 220
- EndNote: 243
Total article views: 5,016 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 14 Mar 2018)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 3,472 | 1,358 | 186 | 5,016 | 206 | 225 |
- HTML: 3,472
- PDF: 1,358
- XML: 186
- Total: 5,016
- BibTeX: 206
- EndNote: 225
Total article views: 841 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 02 Nov 2017)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 402 | 421 | 18 | 841 | 14 | 18 |
- HTML: 402
- PDF: 421
- XML: 18
- Total: 841
- BibTeX: 14
- EndNote: 18
Viewed (geographical distribution)
Total article views: 5,857 (including HTML, PDF, and XML)
Thereof 5,708 with geography defined
and 149 with unknown origin.
Total article views: 5,016 (including HTML, PDF, and XML)
Thereof 4,883 with geography defined
and 133 with unknown origin.
Total article views: 841 (including HTML, PDF, and XML)
Thereof 825 with geography defined
and 16 with unknown origin.
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
Cited
88 citations as recorded by crossref.
- Tropopause Laminar Cirrus and Its Role in the Lower Stratosphere Total Water Budget T. Wang et al. https://doi.org/10.1029/2018JD029845
- Quantifying dust deposition over the Atlantic Ocean E. Proestakis et al. https://doi.org/10.5194/essd-17-4351-2025
- Insights into aerosol vertical distribution, subtype, and secondary particle formation in central Himalayas: A COVID-19 lockdown perspective V. Rawat et al. https://doi.org/10.1016/j.atmosenv.2024.121015
- Combining CloudSat/CALIPSO and MODIS measurements to reconstruct tropical convective cloud structure K. Yang et al. https://doi.org/10.1016/j.rse.2023.113478
- A new lidar inversion method using a surface reference target applied to the backscattering coefficient and lidar ratio retrievals of a fog-oil plume at short range F. Gaudfrin et al. https://doi.org/10.5194/amt-13-1921-2020
- Machine learning-based generation of high-resolution 3D full-coverage aerosol distribution data over China using multisource data W. Li et al. https://doi.org/10.1016/j.rse.2025.114772
- New attenuated backscatter profile by removing the CALIOP receiver's transient response X. Lu et al. https://doi.org/10.1016/j.jqsrt.2020.107244
- Identification of smoke and sulfuric acid aerosol in SAGE III/ISS extinction spectra T. Knepp et al. https://doi.org/10.5194/amt-15-5235-2022
- Upper troposphere dust belt formation processes vary seasonally and spatially in the Northern Hemisphere K. Yang et al. https://doi.org/10.1038/s43247-022-00353-5
- CALIOP retrieval of droplet effective radius accounting for cloud vertical homogeneity L. Zang et al. https://doi.org/10.1364/OE.427022
- Variability and Trends in Cloud Properties Over 17 Years From CALIPSO Space Lidar Observations H. Chepfer et al. https://doi.org/10.1029/2025JD043764
- The CALIPSO version 4.5 stratospheric aerosol subtyping algorithm J. Tackett et al. https://doi.org/10.5194/amt-16-745-2023
- Revisiting global satellite observations of stratospheric cirrus clouds L. Zou et al. https://doi.org/10.5194/acp-20-9939-2020
- Global vertically resolved aerosol direct radiation effect from three years of CALIOP data using the FORTH radiation transfer model M. Korras-Carraca et al. https://doi.org/10.1016/j.atmosres.2019.03.024
- Global Ocean Studies from CALIOP/CALIPSO by Removing Polarization Crosstalk Effects X. Lu et al. https://doi.org/10.3390/rs13142769
- Retrieval of ice-nucleating particle concentrations from lidar observations and comparison with UAV in situ measurements E. Marinou et al. https://doi.org/10.5194/acp-19-11315-2019
- Well-Posed Global 3-D Retrieval of Background Aerosol Optical Properties From the DQ-1/ACDL L. Dai et al. https://doi.org/10.1109/TGRS.2026.3670839
- High-Resolution Detection of Stratospheric Aerosols in CALIPSO Atmospheric Lidar Data Facilitated by the CALIOP-Density-Dimension Algorithm U. Herzfeld et al. https://doi.org/10.1109/TGRS.2025.3569546
- Aerosol Effect on the Cloud Phase of Low‐Level Clouds Over the Arctic M. Filioglou et al. https://doi.org/10.1029/2018JD030088
- Comparison between ACE and CALIPSO observations of Antarctic polar stratospheric clouds L. Lavy et al. https://doi.org/10.1016/j.jqsrt.2023.108827
- Linear-Fitting calibration algorithm for Aerosol-Cloud detection channels at 532 nm of the DQ-1/ACDL F. Mao et al. https://doi.org/10.1016/j.jag.2026.105504
- Laser pulse bidirectional reflectance from CALIPSO mission X. Lu et al. https://doi.org/10.5194/amt-11-3281-2018
- Recent Decadal Aerosol Trends over Oceanic Regions Surrounding Indian Landmass M. Mehta & R. Khushboo https://doi.org/10.1007/s41810-022-00157-2
- CALIPSO 1064 nm calibration biases inferred from wavelength-dependent signal attenuation by stratospheric aerosols J. Kar et al. https://doi.org/10.5194/amt-19-277-2026
- New Ocean Subsurface Optical Properties From Space Lidars: CALIOP/CALIPSO and ATLAS/ICESat‐2 X. Lu et al. https://doi.org/10.1029/2021EA001839
- Spring Dust Mass Flux over the Tibetan Plateau during 2007–19 and Connections with North Atlantic SST Variability C. Xu et al. https://doi.org/10.1175/JCLI-D-19-0481.1
- Retrieval and Validation of Cloud Top Temperature from the Geostationary Satellite INSAT-3D C. Lima et al. https://doi.org/10.3390/rs11232811
- CALIPSO lidar calibration at 532 nm: version 4 daytime algorithm B. Getzewich et al. https://doi.org/10.5194/amt-11-6309-2018
- Fully Dynamic High–Resolution Model for Dispersion of Icelandic Airborne Mineral Dust B. Cvetkovic et al. https://doi.org/10.3390/atmos13091345
- Extensive coverage of ultrathin tropical tropopause layer cirrus clouds revealed by balloon-borne lidar observations T. Lesigne et al. https://doi.org/10.5194/acp-24-5935-2024
- CALIPSO level 3 stratospheric aerosol profile product: version 1.00 algorithm description and initial assessment J. Kar et al. https://doi.org/10.5194/amt-12-6173-2019
- Spaceborne observations of aerosol vertical distribution over Indian mainland (2009–2018) M. Mehta et al. https://doi.org/10.1016/j.atmosenv.2020.117902
- On the bubble-bubbleless ocean continuum and its meaning for the LiDAR equation: LiDAR measurement of underwater bubble properties during storm conditions D. Josset et al. https://doi.org/10.1364/OE.515936
- Methodology to obtain highly resolved SO2 vertical profiles for representation of volcanic emissions in climate models O. Sandvik et al. https://doi.org/10.5194/amt-14-7153-2021
- Seasonal to sub-seasonal variations of the Asian Tropopause Aerosols Layer affected by the deep convection, surface pollutants and precipitation D. Wu et al. https://doi.org/10.1016/j.jes.2021.07.022
- Vertical Distribution of the Aerosol Mass Concentration in East Asia Using CALIPSO Data S. Li et al. https://doi.org/10.1109/JSTARS.2025.3538572
- Aerosol and cloud data processing and optical property retrieval algorithms for the spaceborne ACDL/DQ-1 G. Dai et al. https://doi.org/10.5194/amt-17-1879-2024
- Compact 532 nm Laser With 59 mJ Pulse Energy Output M. Changzheng et al. https://doi.org/10.1109/ACCESS.2025.3585974
- Elevated aerosol layer over South Asia worsens the Indian droughts S. Fadnavis et al. https://doi.org/10.1038/s41598-019-46704-9
- CALIOP V4 cloud thermodynamic phase assignment and the impact of near-nadir viewing angles M. Avery et al. https://doi.org/10.5194/amt-13-4539-2020
- Dust Lidar Ratios Retrieved from the CALIOP Measurements Using the MODIS AOD as a Constraint M. Kim et al. https://doi.org/10.3390/rs12020251
- Dust storm simulation over the Sahara Desert (Moroccan and Mauritanian regions) using HYSPLIT A. Qor‐el‐aine et al. https://doi.org/10.1002/asl.1076
- A near-global multiyear climate data record of the fine-mode and coarse-mode components of atmospheric pure dust E. Proestakis et al. https://doi.org/10.5194/amt-17-3625-2024
- Decreased dust particles amplify the cloud cooling effect by regulating cloud ice formation over the Tibetan Plateau J. Chen et al. https://doi.org/10.1126/sciadv.ado0885
- Persistent EarthCARE underflight studies of the ITCZ and organized convection (PERCUSION): contribution to EarthCARE validation S. Groß et al. https://doi.org/10.5194/amt-19-3933-2026
- Retrieving instantaneous extinction of aerosol undetected by the CALIPSO layer detection algorithm F. Mao et al. https://doi.org/10.5194/acp-22-10589-2022
- Comparison of V4 and V3 CALIOP (L3) aerosol products: A global perspective V. Sreekanth & P. Kulkarni https://doi.org/10.1016/j.rsase.2020.100412
- Validation of SOAR VIIRS Over‐Water Aerosol Retrievals and Context Within the Global Satellite Aerosol Data Record A. Sayer et al. https://doi.org/10.1029/2018JD029465
- Assessing the benefits of Imaging Infrared Radiometer observations for the CALIOP version 4 cloud and aerosol discrimination algorithm T. Vaillant de Guélis et al. https://doi.org/10.5194/amt-15-1931-2022
- Intercomparison of in-situ aircraft and satellite aerosol measurements in the stratosphere O. Sandvik et al. https://doi.org/10.1038/s41598-019-52089-6
- Global dust optical depth climatology derived from CALIOP and MODIS aerosol retrievals on decadal timescales: regional and interannual variability Q. Song et al. https://doi.org/10.5194/acp-21-13369-2021
- Nearshore bathymetry and seafloor property studies from Space lidars: CALIPSO and ICESat-2 X. Lu et al. https://doi.org/10.1364/OE.471444
- Polar stratospheric cloud climatology based on CALIPSO spaceborne lidar measurements from 2006 to 2017 M. Pitts et al. https://doi.org/10.5194/acp-18-10881-2018
- Simulation of atmospheric density detection by spaceborne Rayleigh lidar J. Wang et al. https://doi.org/10.1016/j.atmosenv.2024.120659
- Application of high-dimensional fuzzy k-means cluster analysis to CALIOP/CALIPSO version 4.1 cloud–aerosol discrimination S. Zeng et al. https://doi.org/10.5194/amt-12-2261-2019
- A novel method of identifying and analysing oil smoke plumes based on MODIS and CALIPSO satellite data A. Mereuţă et al. https://doi.org/10.5194/acp-22-5071-2022
- The emission, transport, and impacts of the extreme Saharan dust storm of 2015 B. Harr et al. https://doi.org/10.5194/acp-24-8625-2024
- Extinction and optical depth retrievals for CALIPSO's Version 4 data release S. Young et al. https://doi.org/10.5194/amt-11-5701-2018
- Assessing CALIOP-Derived Planetary Boundary Layer Height Using Ground-Based Lidar M. Kim et al. https://doi.org/10.3390/rs13081496
- A Level 3 monthly gridded ice cloud dataset derived from 12 years of CALIOP measurements D. Winker et al. https://doi.org/10.5194/essd-16-2831-2024
- Discriminating between clouds and aerosols in the CALIOP version 4.1 data products Z. Liu et al. https://doi.org/10.5194/amt-12-703-2019
- The CALIPSO version 4 automated aerosol classification and lidar ratio selection algorithm M. Kim et al. https://doi.org/10.5194/amt-11-6107-2018
- An Observational Study of Aerosols and Tropical Cyclones over the Eastern Atlantic Ocean Basin for Recent Hurricane Seasons M. Patel et al. https://doi.org/10.3390/atmos12081036
- On the representativeness of the ground-based lidar observations for satellite calibration/validation – the example of the archipelago of Cabo Verde A. Floutsi et al. https://doi.org/10.5194/amt-19-1901-2026
- Cloud-Aerosol Transport System (CATS) 1064 nm calibration and validation R. Pauly et al. https://doi.org/10.5194/amt-12-6241-2019
- Ten-year global particulate mass concentration derived from space-borne CALIPSO lidar observations X. Ma et al. https://doi.org/10.1016/j.scitotenv.2020.137699
- A First Case Study of CCN Concentrations from Spaceborne Lidar Observations A. Georgoulias et al. https://doi.org/10.3390/rs12101557
- Dust exposure linkages among Asian countries C. Zhou et al. https://doi.org/10.1016/j.jclepro.2024.142493
- Assimilating spaceborne lidar dust extinction can improve dust forecasts J. Escribano et al. https://doi.org/10.5194/acp-22-535-2022
- EARLINET evaluation of the CATS Level 2 aerosol backscatter coefficient product E. Proestakis et al. https://doi.org/10.5194/acp-19-11743-2019
- Atmospheric transmittance modeling for spaceborne oceanic lidar: Global assessment and distribution characteristics at the Fraunhofer line of 486.1 nm F. Wang et al. https://doi.org/10.1016/j.optcom.2026.132973
- Total column optical depths retrieved from CALIPSO lidar ocean surface backscatter R. Ryan et al. https://doi.org/10.5194/amt-17-6517-2024
- Mitigating impacts of low energy laser pulses on CALIOP data products J. Tackett et al. https://doi.org/10.5194/amt-18-6211-2025
- Link the Day and Night: A Deep Learning Framework to Retrieve Global Nighttime AOD From VIIRS DNB M. Zhou et al. https://doi.org/10.1109/LGRS.2026.3713835
- Global 3-D distribution of aerosol composition by synergistic use of CALIOP and MODIS observations R. Kudo et al. https://doi.org/10.5194/amt-16-3835-2023
- Volcanic impact on the climate – the stratospheric aerosol load in the period 2006–2015 J. Friberg et al. https://doi.org/10.5194/acp-18-11149-2018
- Aerosol-cloud layer detection algorithm of the DQ-1/ACDL F. Mao et al. https://doi.org/10.1016/j.rse.2025.115068
- Measurements of the cirrus clouds color ratio from the spaceborne aerosol and carbon dioxide detection lidar onboard DQ-1 Z. Bi et al. https://doi.org/10.1364/AO.588338
- Climatology and trends of cirrus geometrical and optical properties in the Amazon region from 7-yr of CALIPSO observations B. Portella & H. Barbosa https://doi.org/10.1016/j.atmosres.2023.107167
- ACDL/DQ-1 calibration algorithms – Part 1: Nighttime 532 nm polarization and the high-spectral-resolution channel F. Meng et al. https://doi.org/10.5194/amt-18-2021-2025
- Geometrical and optical properties of cirrus clouds in Barcelona, Spain: analysis with the two-way transmittance method of 4 years of lidar measurements C. Gil-Díaz et al. https://doi.org/10.5194/amt-17-1197-2024
- Lidar observations of cirrus clouds in Palau (7°33′ N, 134°48′ E) F. Cairo et al. https://doi.org/10.5194/acp-21-7947-2021
- Improving the estimating accuracy of extinction coefficient of surface aerosol with a new layer-resolved model in China L. Wang et al. https://doi.org/10.1016/j.scitotenv.2019.136443
- CALIPSO lidar calibration at 1064 nm: version 4 algorithm M. Vaughan et al. https://doi.org/10.5194/amt-12-51-2019
- Multi‐Year Seasonal Trends in Sea Ice, Chlorophyll Concentration, and Marine Aerosol Optical Depth in the Bellingshausen Sea S. Dasarathy et al. https://doi.org/10.1029/2021JD034737
- Editorial: Frontiers and Applications of Laser Detection—From Spectral Imaging to Lidar Remote Sensing J. Chen et al. https://doi.org/10.3390/photonics12090853
- Optimizing cirrus optical depth retrievals over the ocean from collocated CALIPSO and AMSR-E observations Q. Tang et al. https://doi.org/10.1364/AO.57.007472
- Ice nucleation by volcanic ash greatly alters cirrus cloud properties L. Lin et al. https://doi.org/10.1126/sciadv.ads0572
88 citations as recorded by crossref.
- Tropopause Laminar Cirrus and Its Role in the Lower Stratosphere Total Water Budget T. Wang et al. https://doi.org/10.1029/2018JD029845
- Quantifying dust deposition over the Atlantic Ocean E. Proestakis et al. https://doi.org/10.5194/essd-17-4351-2025
- Insights into aerosol vertical distribution, subtype, and secondary particle formation in central Himalayas: A COVID-19 lockdown perspective V. Rawat et al. https://doi.org/10.1016/j.atmosenv.2024.121015
- Combining CloudSat/CALIPSO and MODIS measurements to reconstruct tropical convective cloud structure K. Yang et al. https://doi.org/10.1016/j.rse.2023.113478
- A new lidar inversion method using a surface reference target applied to the backscattering coefficient and lidar ratio retrievals of a fog-oil plume at short range F. Gaudfrin et al. https://doi.org/10.5194/amt-13-1921-2020
- Machine learning-based generation of high-resolution 3D full-coverage aerosol distribution data over China using multisource data W. Li et al. https://doi.org/10.1016/j.rse.2025.114772
- New attenuated backscatter profile by removing the CALIOP receiver's transient response X. Lu et al. https://doi.org/10.1016/j.jqsrt.2020.107244
- Identification of smoke and sulfuric acid aerosol in SAGE III/ISS extinction spectra T. Knepp et al. https://doi.org/10.5194/amt-15-5235-2022
- Upper troposphere dust belt formation processes vary seasonally and spatially in the Northern Hemisphere K. Yang et al. https://doi.org/10.1038/s43247-022-00353-5
- CALIOP retrieval of droplet effective radius accounting for cloud vertical homogeneity L. Zang et al. https://doi.org/10.1364/OE.427022
- Variability and Trends in Cloud Properties Over 17 Years From CALIPSO Space Lidar Observations H. Chepfer et al. https://doi.org/10.1029/2025JD043764
- The CALIPSO version 4.5 stratospheric aerosol subtyping algorithm J. Tackett et al. https://doi.org/10.5194/amt-16-745-2023
- Revisiting global satellite observations of stratospheric cirrus clouds L. Zou et al. https://doi.org/10.5194/acp-20-9939-2020
- Global vertically resolved aerosol direct radiation effect from three years of CALIOP data using the FORTH radiation transfer model M. Korras-Carraca et al. https://doi.org/10.1016/j.atmosres.2019.03.024
- Global Ocean Studies from CALIOP/CALIPSO by Removing Polarization Crosstalk Effects X. Lu et al. https://doi.org/10.3390/rs13142769
- Retrieval of ice-nucleating particle concentrations from lidar observations and comparison with UAV in situ measurements E. Marinou et al. https://doi.org/10.5194/acp-19-11315-2019
- Well-Posed Global 3-D Retrieval of Background Aerosol Optical Properties From the DQ-1/ACDL L. Dai et al. https://doi.org/10.1109/TGRS.2026.3670839
- High-Resolution Detection of Stratospheric Aerosols in CALIPSO Atmospheric Lidar Data Facilitated by the CALIOP-Density-Dimension Algorithm U. Herzfeld et al. https://doi.org/10.1109/TGRS.2025.3569546
- Aerosol Effect on the Cloud Phase of Low‐Level Clouds Over the Arctic M. Filioglou et al. https://doi.org/10.1029/2018JD030088
- Comparison between ACE and CALIPSO observations of Antarctic polar stratospheric clouds L. Lavy et al. https://doi.org/10.1016/j.jqsrt.2023.108827
- Linear-Fitting calibration algorithm for Aerosol-Cloud detection channels at 532 nm of the DQ-1/ACDL F. Mao et al. https://doi.org/10.1016/j.jag.2026.105504
- Laser pulse bidirectional reflectance from CALIPSO mission X. Lu et al. https://doi.org/10.5194/amt-11-3281-2018
- Recent Decadal Aerosol Trends over Oceanic Regions Surrounding Indian Landmass M. Mehta & R. Khushboo https://doi.org/10.1007/s41810-022-00157-2
- CALIPSO 1064 nm calibration biases inferred from wavelength-dependent signal attenuation by stratospheric aerosols J. Kar et al. https://doi.org/10.5194/amt-19-277-2026
- New Ocean Subsurface Optical Properties From Space Lidars: CALIOP/CALIPSO and ATLAS/ICESat‐2 X. Lu et al. https://doi.org/10.1029/2021EA001839
- Spring Dust Mass Flux over the Tibetan Plateau during 2007–19 and Connections with North Atlantic SST Variability C. Xu et al. https://doi.org/10.1175/JCLI-D-19-0481.1
- Retrieval and Validation of Cloud Top Temperature from the Geostationary Satellite INSAT-3D C. Lima et al. https://doi.org/10.3390/rs11232811
- CALIPSO lidar calibration at 532 nm: version 4 daytime algorithm B. Getzewich et al. https://doi.org/10.5194/amt-11-6309-2018
- Fully Dynamic High–Resolution Model for Dispersion of Icelandic Airborne Mineral Dust B. Cvetkovic et al. https://doi.org/10.3390/atmos13091345
- Extensive coverage of ultrathin tropical tropopause layer cirrus clouds revealed by balloon-borne lidar observations T. Lesigne et al. https://doi.org/10.5194/acp-24-5935-2024
- CALIPSO level 3 stratospheric aerosol profile product: version 1.00 algorithm description and initial assessment J. Kar et al. https://doi.org/10.5194/amt-12-6173-2019
- Spaceborne observations of aerosol vertical distribution over Indian mainland (2009–2018) M. Mehta et al. https://doi.org/10.1016/j.atmosenv.2020.117902
- On the bubble-bubbleless ocean continuum and its meaning for the LiDAR equation: LiDAR measurement of underwater bubble properties during storm conditions D. Josset et al. https://doi.org/10.1364/OE.515936
- Methodology to obtain highly resolved SO2 vertical profiles for representation of volcanic emissions in climate models O. Sandvik et al. https://doi.org/10.5194/amt-14-7153-2021
- Seasonal to sub-seasonal variations of the Asian Tropopause Aerosols Layer affected by the deep convection, surface pollutants and precipitation D. Wu et al. https://doi.org/10.1016/j.jes.2021.07.022
- Vertical Distribution of the Aerosol Mass Concentration in East Asia Using CALIPSO Data S. Li et al. https://doi.org/10.1109/JSTARS.2025.3538572
- Aerosol and cloud data processing and optical property retrieval algorithms for the spaceborne ACDL/DQ-1 G. Dai et al. https://doi.org/10.5194/amt-17-1879-2024
- Compact 532 nm Laser With 59 mJ Pulse Energy Output M. Changzheng et al. https://doi.org/10.1109/ACCESS.2025.3585974
- Elevated aerosol layer over South Asia worsens the Indian droughts S. Fadnavis et al. https://doi.org/10.1038/s41598-019-46704-9
- CALIOP V4 cloud thermodynamic phase assignment and the impact of near-nadir viewing angles M. Avery et al. https://doi.org/10.5194/amt-13-4539-2020
- Dust Lidar Ratios Retrieved from the CALIOP Measurements Using the MODIS AOD as a Constraint M. Kim et al. https://doi.org/10.3390/rs12020251
- Dust storm simulation over the Sahara Desert (Moroccan and Mauritanian regions) using HYSPLIT A. Qor‐el‐aine et al. https://doi.org/10.1002/asl.1076
- A near-global multiyear climate data record of the fine-mode and coarse-mode components of atmospheric pure dust E. Proestakis et al. https://doi.org/10.5194/amt-17-3625-2024
- Decreased dust particles amplify the cloud cooling effect by regulating cloud ice formation over the Tibetan Plateau J. Chen et al. https://doi.org/10.1126/sciadv.ado0885
- Persistent EarthCARE underflight studies of the ITCZ and organized convection (PERCUSION): contribution to EarthCARE validation S. Groß et al. https://doi.org/10.5194/amt-19-3933-2026
- Retrieving instantaneous extinction of aerosol undetected by the CALIPSO layer detection algorithm F. Mao et al. https://doi.org/10.5194/acp-22-10589-2022
- Comparison of V4 and V3 CALIOP (L3) aerosol products: A global perspective V. Sreekanth & P. Kulkarni https://doi.org/10.1016/j.rsase.2020.100412
- Validation of SOAR VIIRS Over‐Water Aerosol Retrievals and Context Within the Global Satellite Aerosol Data Record A. Sayer et al. https://doi.org/10.1029/2018JD029465
- Assessing the benefits of Imaging Infrared Radiometer observations for the CALIOP version 4 cloud and aerosol discrimination algorithm T. Vaillant de Guélis et al. https://doi.org/10.5194/amt-15-1931-2022
- Intercomparison of in-situ aircraft and satellite aerosol measurements in the stratosphere O. Sandvik et al. https://doi.org/10.1038/s41598-019-52089-6
- Global dust optical depth climatology derived from CALIOP and MODIS aerosol retrievals on decadal timescales: regional and interannual variability Q. Song et al. https://doi.org/10.5194/acp-21-13369-2021
- Nearshore bathymetry and seafloor property studies from Space lidars: CALIPSO and ICESat-2 X. Lu et al. https://doi.org/10.1364/OE.471444
- Polar stratospheric cloud climatology based on CALIPSO spaceborne lidar measurements from 2006 to 2017 M. Pitts et al. https://doi.org/10.5194/acp-18-10881-2018
- Simulation of atmospheric density detection by spaceborne Rayleigh lidar J. Wang et al. https://doi.org/10.1016/j.atmosenv.2024.120659
- Application of high-dimensional fuzzy k-means cluster analysis to CALIOP/CALIPSO version 4.1 cloud–aerosol discrimination S. Zeng et al. https://doi.org/10.5194/amt-12-2261-2019
- A novel method of identifying and analysing oil smoke plumes based on MODIS and CALIPSO satellite data A. Mereuţă et al. https://doi.org/10.5194/acp-22-5071-2022
- The emission, transport, and impacts of the extreme Saharan dust storm of 2015 B. Harr et al. https://doi.org/10.5194/acp-24-8625-2024
- Extinction and optical depth retrievals for CALIPSO's Version 4 data release S. Young et al. https://doi.org/10.5194/amt-11-5701-2018
- Assessing CALIOP-Derived Planetary Boundary Layer Height Using Ground-Based Lidar M. Kim et al. https://doi.org/10.3390/rs13081496
- A Level 3 monthly gridded ice cloud dataset derived from 12 years of CALIOP measurements D. Winker et al. https://doi.org/10.5194/essd-16-2831-2024
- Discriminating between clouds and aerosols in the CALIOP version 4.1 data products Z. Liu et al. https://doi.org/10.5194/amt-12-703-2019
- The CALIPSO version 4 automated aerosol classification and lidar ratio selection algorithm M. Kim et al. https://doi.org/10.5194/amt-11-6107-2018
- An Observational Study of Aerosols and Tropical Cyclones over the Eastern Atlantic Ocean Basin for Recent Hurricane Seasons M. Patel et al. https://doi.org/10.3390/atmos12081036
- On the representativeness of the ground-based lidar observations for satellite calibration/validation – the example of the archipelago of Cabo Verde A. Floutsi et al. https://doi.org/10.5194/amt-19-1901-2026
- Cloud-Aerosol Transport System (CATS) 1064 nm calibration and validation R. Pauly et al. https://doi.org/10.5194/amt-12-6241-2019
- Ten-year global particulate mass concentration derived from space-borne CALIPSO lidar observations X. Ma et al. https://doi.org/10.1016/j.scitotenv.2020.137699
- A First Case Study of CCN Concentrations from Spaceborne Lidar Observations A. Georgoulias et al. https://doi.org/10.3390/rs12101557
- Dust exposure linkages among Asian countries C. Zhou et al. https://doi.org/10.1016/j.jclepro.2024.142493
- Assimilating spaceborne lidar dust extinction can improve dust forecasts J. Escribano et al. https://doi.org/10.5194/acp-22-535-2022
- EARLINET evaluation of the CATS Level 2 aerosol backscatter coefficient product E. Proestakis et al. https://doi.org/10.5194/acp-19-11743-2019
- Atmospheric transmittance modeling for spaceborne oceanic lidar: Global assessment and distribution characteristics at the Fraunhofer line of 486.1 nm F. Wang et al. https://doi.org/10.1016/j.optcom.2026.132973
- Total column optical depths retrieved from CALIPSO lidar ocean surface backscatter R. Ryan et al. https://doi.org/10.5194/amt-17-6517-2024
- Mitigating impacts of low energy laser pulses on CALIOP data products J. Tackett et al. https://doi.org/10.5194/amt-18-6211-2025
- Link the Day and Night: A Deep Learning Framework to Retrieve Global Nighttime AOD From VIIRS DNB M. Zhou et al. https://doi.org/10.1109/LGRS.2026.3713835
- Global 3-D distribution of aerosol composition by synergistic use of CALIOP and MODIS observations R. Kudo et al. https://doi.org/10.5194/amt-16-3835-2023
- Volcanic impact on the climate – the stratospheric aerosol load in the period 2006–2015 J. Friberg et al. https://doi.org/10.5194/acp-18-11149-2018
- Aerosol-cloud layer detection algorithm of the DQ-1/ACDL F. Mao et al. https://doi.org/10.1016/j.rse.2025.115068
- Measurements of the cirrus clouds color ratio from the spaceborne aerosol and carbon dioxide detection lidar onboard DQ-1 Z. Bi et al. https://doi.org/10.1364/AO.588338
- Climatology and trends of cirrus geometrical and optical properties in the Amazon region from 7-yr of CALIPSO observations B. Portella & H. Barbosa https://doi.org/10.1016/j.atmosres.2023.107167
- ACDL/DQ-1 calibration algorithms – Part 1: Nighttime 532 nm polarization and the high-spectral-resolution channel F. Meng et al. https://doi.org/10.5194/amt-18-2021-2025
- Geometrical and optical properties of cirrus clouds in Barcelona, Spain: analysis with the two-way transmittance method of 4 years of lidar measurements C. Gil-Díaz et al. https://doi.org/10.5194/amt-17-1197-2024
- Lidar observations of cirrus clouds in Palau (7°33′ N, 134°48′ E) F. Cairo et al. https://doi.org/10.5194/acp-21-7947-2021
- Improving the estimating accuracy of extinction coefficient of surface aerosol with a new layer-resolved model in China L. Wang et al. https://doi.org/10.1016/j.scitotenv.2019.136443
- CALIPSO lidar calibration at 1064 nm: version 4 algorithm M. Vaughan et al. https://doi.org/10.5194/amt-12-51-2019
- Multi‐Year Seasonal Trends in Sea Ice, Chlorophyll Concentration, and Marine Aerosol Optical Depth in the Bellingshausen Sea S. Dasarathy et al. https://doi.org/10.1029/2021JD034737
- Editorial: Frontiers and Applications of Laser Detection—From Spectral Imaging to Lidar Remote Sensing J. Chen et al. https://doi.org/10.3390/photonics12090853
- Optimizing cirrus optical depth retrievals over the ocean from collocated CALIPSO and AMSR-E observations Q. Tang et al. https://doi.org/10.1364/AO.57.007472
- Ice nucleation by volcanic ash greatly alters cirrus cloud properties L. Lin et al. https://doi.org/10.1126/sciadv.ads0572
Saved (final revised paper)
Latest update: 11 Sep 2026
Short summary
We present the motivation for and the implementation of the version 4.1 nighttime 532 nm parallel-channel calibration of the CALIOP lidar. The accuracy of calibration is significantly improved by raising the molecular normalization altitude from 30–34 km to 36–39 km to substantially reduce stratospheric aerosol contamination. The new calibration procedure eliminates biases in earlier versions and leads to an improved representation of stratospheric aerosols.
We present the motivation for and the implementation of the version 4.1 nighttime 532 nm...
Special issue