Articles | Volume 14, issue 12
https://doi.org/10.5194/amt-14-7851-2021
https://doi.org/10.5194/amt-14-7851-2021
Research article
 | 
16 Dec 2021
Research article |  | 16 Dec 2021

Aeolus L2A aerosol optical properties product: standard correct algorithm and Mie correct algorithm

Thomas Flament, Dimitri Trapon, Adrien Lacour, Alain Dabas, Frithjof Ehlers, and Dorit Huber

Related authors

Cross-validations of the Aeolus aerosol products and new developments with airborne high-spectral-resolution lidar measurements above the tropical Atlantic during JATAC
Dimitri Trapon, Holger Baars, Athena Augusta Floutsi, Sebastian Bley, Moritz Haarig, Adrien Lacour, Thomas Flament, Alain Dabas, Amin R. Nehrir, Frithjof Ehlers, and Dorit Huber
Atmos. Meas. Tech., 18, 3873–3896, https://doi.org/10.5194/amt-18-3873-2025,https://doi.org/10.5194/amt-18-3873-2025, 2025
Short summary
Spectral performance analysis of the Aeolus Fabry–Pérot and Fizeau interferometers during the first years of operation
Benjamin Witschas, Christian Lemmerz, Oliver Lux, Uwe Marksteiner, Oliver Reitebuch, Fabian Weiler, Frederic Fabre, Alain Dabas, Thomas Flament, Dorit Huber, and Michael Vaughan
Atmos. Meas. Tech., 15, 1465–1489, https://doi.org/10.5194/amt-15-1465-2022,https://doi.org/10.5194/amt-15-1465-2022, 2022
Short summary
Optimization of Aeolus' aerosol optical properties by maximum-likelihood estimation
Frithjof Ehlers, Thomas Flament, Alain Dabas, Dimitri Trapon, Adrien Lacour, Holger Baars, and Anne Grete Straume-Lindner
Atmos. Meas. Tech., 15, 185–203, https://doi.org/10.5194/amt-15-185-2022,https://doi.org/10.5194/amt-15-185-2022, 2022
Short summary
Simultaneous solution for mass trends on the West Antarctic Ice Sheet
N. Schoen, A. Zammit-Mangion, J. C. Rougier, T. Flament, F. Rémy, S. Luthcke, and J. L. Bamber
The Cryosphere, 9, 805–819, https://doi.org/10.5194/tc-9-805-2015,https://doi.org/10.5194/tc-9-805-2015, 2015
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.: The Extinction-to-Backscatter Ratio of Tropospheric Aerosol: A Numerical Study, J. Atmos. Ocean. Tech., 15, 1043– 1050, https://doi.org/10.1175/1520-0426(1998)015<1043:TETBRO>2.0.CO;2, 1998. a
Ansmann, A., Wandinger, U., Le Rille, O., Lajas, D., and Straume, A. G.: Particle backscatter and extinction profiling with the spaceborne high-spectral-resolution Doppler lidar ALADIN: methodology and simulations, Appl. Optics, 46, 6606, https://doi.org/10.1364/AO.46.006606, 2007. a
Baars, H., Radenz, M., Floutsi, A. A., Engelmann, R., Althausen, D., Heese, B., Ansmann, A., Flament, T., Dabas, A., Trapon, D., Reitebuch, O., Bley, S., and Wandinger, U.: Californian Wildfire Smoke Over Europe: A First Example of the Aerosol Observing Capabilities of Aeolus Compared to Ground‐Based Lidar, Geophys. Res. Lett., 48, e2020GL092194, https://doi.org/10.1029/2020GL092194, 2021. a
CALIPSO: CALIPSO, available at: https://www-calipso.larc.nasa.gov/products/lidar/browse_images/show_v4_detail.php?s=production&v=V4-10&browse_date=2020-06-19&orbit_time=04-07-30&page=1&granule_name=CAL_LID_L1-Standard-V4-10.2020-06-19T04-07-30ZN.hdf, last access: 1 March 2021. a
Collis, R. and Russell, P.: Lidar measurement of particles and gases by elastic backscattering and differential absorption, chap. Lidar measurement of particles and gases by elastic backscattering and differential absorption, Springer, Berlin, Heidelberg, 71–151, https://doi.org/10.1007/3-540-07743-X_18, 1976. a, b
Download
Short summary
This paper presents the main algorithms of the Aeolus Level 2 aerosol optical properties product. The processing chain was developed under contract with ESA. We show that the ALADIN instrument, although primarily designed to retrieve atmospheric winds, is also able to provide valuable information about aerosol and cloud optical properties. The algorithms are detailed, and validation on simulated and real examples is shown.
Share