Articles | Volume 14, issue 12
https://doi.org/10.5194/amt-14-7851-2021
© Author(s) 2021. 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-14-7851-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
16 Dec 2021
Research article |
| 16 Dec 2021
| 16 Dec 2021
Aeolus L2A aerosol optical properties product: standard correct algorithm and Mie correct algorithm
CNRM, Université de Toulouse, Météo-France, CNRS, Toulouse, France
Dimitri Trapon
CNRM, Université de Toulouse, Météo-France, CNRS, Toulouse, France
Adrien Lacour
CNRM, Université de Toulouse, Météo-France, CNRS, Toulouse, France
Alain Dabas
CNRM, Université de Toulouse, Météo-France, CNRS, Toulouse, France
Frithjof Ehlers
ESA/ESTEC, Keplerlaan, Noordwijk, the Netherlands
Dorit Huber
DoRIT, Munich, Germany
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- Effect of wind speed on marine aerosol optical properties over remote oceans with use of spaceborne lidar observations K. Sun et al. 10.5194/acp-24-4389-2024
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- Global perturbation of stratospheric water and aerosol burden by Hunga eruption S. Khaykin et al. 10.1038/s43247-022-00652-x
- Optimization of Aeolus' aerosol optical properties by maximum-likelihood estimation F. Ehlers et al. 10.5194/amt-15-185-2022
- Aeolus星载测风激光雷达进展综述 胡. Hu Zhongyu & 卜. Bu Lingbing 10.3788/IRLA20220691
- Correction of wind bias for the lidar on board Aeolus using telescope temperatures F. Weiler et al. 10.5194/amt-14-7167-2021
24 citations as recorded by crossref.
- Validation activities of Aeolus wind products on the southeastern Iberian Peninsula J. Abril-Gago et al. 10.5194/acp-23-8453-2023
- High sensitivity of Aeolus UV surface returns to surface reflectivity L. Labzovskii et al. 10.1038/s41598-023-44525-5
- Profiling of particulate matter transport flux based on dual-wavelength lidar and ensemble learning algorithm R. Li et al. 10.1364/OE.522165
- CCD detector performance of the space-borne Doppler wind lidar ALADIN during the Aeolus mission O. Lux et al. 10.1364/AO.532217
- On the derivation of zonal and meridional wind components from Aeolus horizontal line-of-sight wind I. Krisch et al. 10.5194/amt-15-3465-2022
- HETEAC-Flex: an optimal estimation method for aerosol typing based on lidar-derived intensive optical properties A. Floutsi et al. 10.5194/amt-17-693-2024
- Statistical validation of Aeolus L2A particle backscatter coefficient retrievals over ACTRIS/EARLINET stations on the Iberian Peninsula J. Abril-Gago et al. 10.5194/acp-22-1425-2022
- Aerosol and cloud data processing and optical property retrieval algorithms for the spaceborne ACDL/DQ-1 G. Dai et al. 10.5194/amt-17-1879-2024
- DeLiAn – a growing collection of depolarization ratio, lidar ratio and Ångström exponent for different aerosol types and mixtures from ground-based lidar observations A. Floutsi et al. 10.5194/amt-16-2353-2023
- Exploring the potential of Aeolus lidar mission for ocean color applications D. Dionisi et al. 10.1016/j.rse.2024.114341
- Validation of the Aeolus L2B wind product with airborne wind lidar measurements in the polar North Atlantic region and in the tropics B. Witschas et al. 10.5194/amt-15-7049-2022
- Long-term validation of Aeolus L2B wind products at Punta Arenas, Chile, and Leipzig, Germany H. Baars et al. 10.5194/amt-16-3809-2023
- Classified validation of Aeolus wind observations using IGRA over China S. Li et al. 10.1088/2515-7620/ad419e
- Cloud top heights and aerosol columnar properties from combined EarthCARE lidar and imager observations: the AM-CTH and AM-ACD products M. Haarig et al. 10.5194/amt-16-5953-2023
- Dust transport and advection measurement with spaceborne lidars ALADIN and CALIOP and model reanalysis data G. Dai et al. 10.5194/acp-22-7975-2022
- Characterization of dust aerosols from ALADIN and CALIOP measurements R. Song et al. 10.5194/amt-17-2521-2024
- CREST: a Climate Data Record of Stratospheric Aerosols V. Sofieva et al. 10.5194/essd-16-5227-2024
- Aeolus L2A aerosol optical properties product: standard correct algorithm and Mie correct algorithm T. Flament et al. 10.5194/amt-14-7851-2021
- Effect of wind speed on marine aerosol optical properties over remote oceans with use of spaceborne lidar observations K. Sun et al. 10.5194/acp-24-4389-2024
- Evaluation of Aeolus feature mask and particle extinction coefficient profile products using CALIPSO data P. Wang et al. 10.5194/amt-17-5935-2024
- First assessment of Aeolus Standard Correct Algorithm particle backscatter coefficient retrievals in the eastern Mediterranean A. Gkikas et al. 10.5194/amt-16-1017-2023
- The EarthCARE lidar cloud and aerosol profile processor (A-PRO): the A-AER, A-EBD, A-TC, and A-ICE products D. Donovan et al. 10.5194/amt-17-5301-2024
- Detection of aerosol and cloud features for the EarthCARE atmospheric lidar (ATLID): the ATLID FeatureMask (A-FM) product G. van Zadelhoff et al. 10.5194/amt-16-3631-2023
- Global perturbation of stratospheric water and aerosol burden by Hunga eruption S. Khaykin et al. 10.1038/s43247-022-00652-x
3 citations as recorded by crossref.
- Optimization of Aeolus' aerosol optical properties by maximum-likelihood estimation F. Ehlers et al. 10.5194/amt-15-185-2022
- Aeolus星载测风激光雷达进展综述 胡. Hu Zhongyu & 卜. Bu Lingbing 10.3788/IRLA20220691
- Correction of wind bias for the lidar on board Aeolus using telescope temperatures F. Weiler et al. 10.5194/amt-14-7167-2021
Latest update: 20 Nov 2024
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.
This paper presents the main algorithms of the Aeolus Level 2 aerosol optical properties...
