Evaluation of Aeolus feature mask and particle extinction coefficient profile products using CALIPSO data

Wang, Ping; Donovan, David Patrick; van Zadelhoff, Gerd-Jan; de Kloe, Jos; Huber, Dorit; Reissig, Katja

doi:https://doi.org/10.5194/amt-17-5935-2024

Articles | Volume 17, issue 19

https://doi.org/10.5194/amt-17-5935-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/amt-17-5935-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 17, issue 19

Research article

|

10 Oct 2024

Research article |

| 10 Oct 2024

Evaluation of Aeolus feature mask and particle extinction coefficient profile products using CALIPSO data

Ping Wang, David Patrick Donovan, Gerd-Jan van Zadelhoff, Jos de Kloe, Dorit Huber, and Katja Reissig

Data sets

L1B-L2 Products ESA https://aeolus-ds.eo.esa.int/oads/access/collection/L1B_L2_Products/tree

Level 2A aerosol/cloud optical products B16 ESA https://aeolus-ds.eo.esa.int/oads/access/collection/Level_2A_aerosol_cloud_optical_products_Reprocessed/tree

Short summary

We describe the new feature mask (AEL-FM) and aerosol profile retrieval (AEL-PRO) algorithms developed for Aeolus lidar and present the evaluation of the Aeolus products using CALIPSO data for dust aerosols over Africa. We have found that Aeolus and CALIPSO show similar aerosol patterns in the collocated orbits and have good agreement for the extinction coefficients for the dust aerosols, especially for the cloud-free scenes. The finding is applicable to Aeolus L2A product Baseline 17.