Validation of Aeolus wind profiles using ground-based lidar and radiosonde observations at Réunion island and the Observatoire de Haute-Provence

Ratynski, Mathieu; Khaykin, Sergey; Hauchecorne, Alain; Wing, Robin; Cammas, Jean-Pierre; Hello, Yann; Keckhut, Philippe

doi:https://doi.org/10.5194/amt-16-997-2023

Articles | Volume 16, issue 4

https://doi.org/10.5194/amt-16-997-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue:

Aeolus data and their application (AMT/ACP/WCD inter-journal...

https://doi.org/10.5194/amt-16-997-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 16, issue 4

Research article

|

28 Feb 2023

Research article |

| 28 Feb 2023

Validation of Aeolus wind profiles using ground-based lidar and radiosonde observations at Réunion island and the Observatoire de Haute-Provence

Mathieu Ratynski, Sergey Khaykin, Alain Hauchecorne, Robin Wing, Jean-Pierre Cammas, Yann Hello, and Philippe Keckhut

Supplement

https://doi.org/10.5194/amt-16-997-2023-supplement

Data sets

Dataset used for the study of "Validation of Aeolus wind profiles using ground-based lidar and radiosonde observations at La Réunion Island and the Observatoire de Haute Provence" M. Ratynski https://doi.org/10.5281/zenodo.7477063

Observations d'altitude (Radio sondages) Meteo France https://donneespubliques.meteofrance.fr/?fond=produit&id_produit=97&id_rubrique=33

Welcome to the ESA Aeolus Online Dissemination System ESA https://aeolus-ds.eo.esa.int/oads/access/

Model code and software

Programs used for the study of "Validation of Aeolus wind profiles using ground-based lidar and radiosonde observations at La Réunion Island and the Observatoire de Haute Provence" M. Ratynski https://doi.org/10.5281/zenodo.7477104

Short summary

Aeolus is the first spaceborne wind lidar providing global wind measurements since 2018. This study offers a comprehensive analysis of Aeolus instrument performance, using ground-based wind lidars and meteorological radiosondes, at tropical and mid-latitudes sites. The analysis allows assessing the long-term evolution of the satellite's performance for more than 3 years. The results will help further elaborate the understanding of the error sources and the behavior of the Doppler wind lidar.