05 Sep 2022
05 Sep 2022
Status: this preprint is open for discussion and under review for Atmospheric Measurement Techniques (AMT).

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

Mathieu Ratynski1, Sergey Khaykin1, Alain Hauchecorne1, Robin Wing1,a, Jean-Pierre Cammas2, Yann Hello2, and Philippe Keckhut1 Mathieu Ratynski et al.
  • 1Laboratoire Atmosphères, Observations Spatiales (LATMOS), UVSQ, Sorbonne Université, CNRS, IPSL, Guyancourt, France
  • 2Observatoire des Sciences de l’Univers à La Réunion (OSU-R, UAR3365), Saint-Denis, La Réunion
  • anow at: Leibniz-Institute for Atmospheric Physics, Kühlungsborn, Germany

Abstract. European Space Agency’s (ESA) Aeolus satellite mission is the first Doppler wind lidar in space, operating in orbit for more than three years since August 2018 and providing global wind profiling throughout the entire troposphere and the lower stratosphere. The Observatoire de Haute Provence (OHP) in southern France and the Observatoire de Physique de l’Atmosphère à La Réunion (OPAR) are equipped with ground-based Doppler Rayleigh-Mie lidars, which operate on similar principles to the Aeolus lidar, and are among essential instruments within ESA Aeolus Cal/Val program. This study presents the validation results of the L2B Rayleigh-clear HLOS winds from September 2018 to January 2022. The point-by-point validation exercise relies on a series of validation campaigns at both observatories: AboVE (Aeolus Validation Experiment) that were held in September 2019 and June 2021 at OPAR, and in January 2019 and December 2021 at OHP. The campaigns involved time-coordinated lidar acquisitions and radiosonde ascents collocated with the nearest Aeolus overpasses. During AboVE-2, Aeolus was operated in a campaign mode with an extended range bin setting allowing inter-comparisons up to 28.7 km. We show that this setting suffers from larger random error in the uppermost bins, exceeding the estimated error, due to lack of backscatter at high altitudes. To evaluate the long-term evolution in Aeolus wind product quality, twice-daily routine Météo-France radiosondes and regular lidar observations were used at both sites. This study evaluates the long-term evolution of the satellite performance along with punctual collocation analyses. On average, we find a systematic error (bias) of −0.92 ms-1 and −0.79 ms-1 and a random error (scaled MAD) of 6.49 ms-1 and 5.37 ms-1 for lidar and radiosondes, respectively.

Mathieu Ratynski et al.

Status: open (until 11 Oct 2022)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2022-822', Anonymous Referee #1, 27 Sep 2022 reply

Mathieu Ratynski et al.

Mathieu Ratynski et al.


Total article views: 242 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
162 75 5 242 21 4 3
  • HTML: 162
  • PDF: 75
  • XML: 5
  • Total: 242
  • Supplement: 21
  • BibTeX: 4
  • EndNote: 3
Views and downloads (calculated since 05 Sep 2022)
Cumulative views and downloads (calculated since 05 Sep 2022)

Viewed (geographical distribution)

Total article views: 237 (including HTML, PDF, and XML) Thereof 237 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
Latest update: 28 Sep 2022
Short summary
Aeolus is the first space-borne wind lidar providing global wind measurements since 2018. This study offers a comprehensive of 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.