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.
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
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- CALIOP V4 cloud thermodynamic phase assignment and the impact of near-nadir viewing angles M. Avery et al. 10.5194/amt-13-4539-2020
- Optimizing cirrus optical depth retrievals over the ocean from collocated CALIPSO and AMSR-E observations Q. Tang et al. 10.1364/AO.57.007472
- Dust Lidar Ratios Retrieved from the CALIOP Measurements Using the MODIS AOD as a Constraint M. Kim et al. 10.3390/rs12020251
- Dust storm simulation over the Sahara Desert (Moroccan and Mauritanian regions) using HYSPLIT A. Qor‐el‐aine et al. 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. 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. 10.1126/sciadv.ado0885
- Retrieving instantaneous extinction of aerosol undetected by the CALIPSO layer detection algorithm F. Mao et al. 10.5194/acp-22-10589-2022
- Comparison of V4 and V3 CALIOP (L3) aerosol products: A global perspective V. Sreekanth & P. Kulkarni 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. 10.1029/2018JD029465
Latest update: 23 Nov 2024
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