Articles | Volume 17, issue 9
https://doi.org/10.5194/amt-17-2637-2024
https://doi.org/10.5194/amt-17-2637-2024
Research article
 | 
06 May 2024
Research article |  | 06 May 2024

An iterative algorithm to simultaneously retrieve aerosol extinction and effective radius profiles using CALIOP

Liang Chang, Jing Li, Jingjing Ren, Changrui Xiong, and Lu Zhang

Related authors

Retrieval of diurnal properties of aerosol and surface from geostationary satellite Himawari-8 using multi-pixel approach
Chong Li, Oleg Dubovik, Jing Li, David Fuertes, Anton Lopatin, Pavel Litvinov, Tatsiana Lapyonok, Lukas Bindreiter, Christian Matar, Yiqi Chu, and Wangshu Tan
EGUsphere, https://doi.org/10.5194/egusphere-2025-2694,https://doi.org/10.5194/egusphere-2025-2694, 2025
This preprint is open for discussion and under review for Atmospheric Measurement Techniques (AMT).
Short summary
Estimation of Nighttime Aerosol Optical Depths Using the Ground-based Microwave Radiometer
Guanyu Liu, Jing Li, Sheng Yue, Lulu Zhang, and Chongzhao Zhang
EGUsphere, https://doi.org/10.5194/egusphere-2025-1871,https://doi.org/10.5194/egusphere-2025-1871, 2025
Short summary
Long-term trends in aerosol properties derived from AERONET measurements
Zhenyu Zhang, Jing Li, Huizheng Che, Yueming Dong, Oleg Dubovik, Thomas Eck, Pawan Gupta, Brent Holben, Jhoon Kim, Elena Lind, Trailokya Saud, Sachchida Nand Tripathi, and Tong Ying
Atmos. Chem. Phys., 25, 4617–4637, https://doi.org/10.5194/acp-25-4617-2025,https://doi.org/10.5194/acp-25-4617-2025, 2025
Short summary
Aerosol single scattering albedo derived by merging OMI/POLDER satellite products and AERONET ground observations
Yueming Dong, Jing Li, Zhenyu Zhang, Chongzhao Zhang, and Qiurui Li
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-583,https://doi.org/10.5194/essd-2024-583, 2025
Revised manuscript accepted for ESSD
Short summary
PM2.5 concentrations based on near-surface visibility in the Northern Hemisphere from 1959 to 2022
Hongfei Hao, Kaicun Wang, Guocan Wu, Jianbao Liu, and Jing Li
Earth Syst. Sci. Data, 16, 4051–4076, https://doi.org/10.5194/essd-16-4051-2024,https://doi.org/10.5194/essd-16-4051-2024, 2024
Short summary

Related subject area

Subject: Aerosols | Technique: Remote Sensing | Topic: Data Processing and Information Retrieval
Producing aerosol size distributions consistent with optical particle counter measurements using space-based measurements of aerosol extinction coefficient
Nicholas Ernest, Larry W. Thomason, and Terry Deshler
Atmos. Meas. Tech., 18, 2957–2968, https://doi.org/10.5194/amt-18-2957-2025,https://doi.org/10.5194/amt-18-2957-2025, 2025
Short summary
Star photometry with all-sky cameras to retrieve aerosol optical depth at nighttime
Roberto Román, Daniel González-Fernández, Juan Carlos Antuña-Sánchez, Celia Herrero del Barrio, Sara Herrero-Anta, África Barreto, Victoria E. Cachorro, Lionel Doppler, Ramiro González, Christoph Ritter, David Mateos, Natalia Kouremeti, Gustavo Copes, Abel Calle, María José Granados-Muñoz, Carlos Toledano, and Ángel M. de Frutos
Atmos. Meas. Tech., 18, 2847–2875, https://doi.org/10.5194/amt-18-2847-2025,https://doi.org/10.5194/amt-18-2847-2025, 2025
Short summary
Improvements in aerosol layer height retrievals from TROPOMI oxygen A-band measurements by surface albedo fitting in optimal estimation
Martin de Graaf, Maarten Sneep, Mark ter Linden, L. Gijsbert Tilstra, David P. Donovan, Gerd-Jan van Zadelhoff, and J. Pepijn Veefkind
Atmos. Meas. Tech., 18, 2553–2571, https://doi.org/10.5194/amt-18-2553-2025,https://doi.org/10.5194/amt-18-2553-2025, 2025
Short summary
Using neural networks for near-real-time aerosol retrievals from OMPS Limb Profiler measurements
Michael D. Himes, Ghassan Taha, Daniel Kahn, Tong Zhu, and Natalya A. Kramarova
Atmos. Meas. Tech., 18, 2523–2536, https://doi.org/10.5194/amt-18-2523-2025,https://doi.org/10.5194/amt-18-2523-2025, 2025
Short summary
Retrieval algorithm for aerosol effective height from the Geostationary Environment Monitoring Spectrometer (GEMS)
Sang Seo Park, Jhoon Kim, Yeseul Cho, Hanlim Lee, Junsung Park, Dong-Won Lee, Won-Jin Lee, and Deok-Rae Kim
Atmos. Meas. Tech., 18, 2241–2259, https://doi.org/10.5194/amt-18-2241-2025,https://doi.org/10.5194/amt-18-2241-2025, 2025
Short summary

Cited articles

Ackermann, J.: Two-wavelength lidar inversion algorithm for a two-component atmosphere, Appl. Opt., 36, 5134–5143, https://doi.org/10.1364/AO.36.005134, 1997. 
Ackermann, J.: Two-wavelength lidar inversion algorithm for a two-component atmosphere with variable extinction-to-backscatter ratios, Appl. Opt., 37, 3164–3171, https://doi.org/10.1364/AO.37.003164, 1998. 
Ansmann, A., Riebesell, M., and Weitkamp, C.: Measurement of atmospheric aerosol extinction profiles with a Raman lidar, Opt. Lett., 15, 746–748, https://doi.org/10.1364/OL.15.000746, 1990. 
Bodhaine, B. A., Wood, N. B., Dutton, E. G., and Slusser, J. R.: On Rayleigh Optical Depth Calculations, J. Atmos. Ocean. Technol., 16, 1854–1861, https://doi.org/10.1175/1520-0426(1999)016<1854:orodc>2.0.co;2, 1999. 
Burton, S. P., Ferrare, R. A., Hostetler, C. A., Hair, J. W., Rogers, R. R., Obland, M. D., Butler, C. F., Cook, A. L., Harper, D. B., and Froyd, K. D.: Aerosol classification using airborne High Spectral Resolution Lidar measurements – methodology and examples, Atmos. Meas. Tech., 5, 73–98, https://doi.org/10.5194/amt-5-73-2012, 2012. 
Download
Short summary
We described a modified lidar inversion algorithm to retrieve aerosol extinction and size distribution simultaneously from two-wavelength elastic lidar measurements. Its major advantage is that the lidar ratio of each layer is determined iteratively by a lidar ratio–Ångström exponent lookup table. The algorithm was applied to the Raman lidar and CALIOP measurements. The retrieved results by our method are in good agreement with those achieved by Raman method.
Share