Validation of Aeolus wind profiles using ground-based lidar and radiosonde observations at Réunion island and the Observatoire de Haute-Provence
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Published:2023-02-28
Issue:4
Volume:16
Page:997-1016
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ISSN:1867-8548
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Container-title:Atmospheric Measurement Techniques
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language:en
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Short-container-title:Atmos. Meas. Tech.
Author:
Ratynski MathieuORCID, Khaykin SergeyORCID, Hauchecorne AlainORCID, Wing RobinORCID, Cammas Jean-Pierre, Hello Yann, Keckhut PhilippeORCID
Abstract
Abstract. The European Space Agency's (ESA) Aeolus satellite mission is the
first Doppler wind lidar in space, operating in orbit for more than 4 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 de 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 the ESA Aeolus calibration and validation (cal/val)
program. This study presents the validation results of the L2B
Rayleigh clear horizontal line-of-sight (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), 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
and −0.79 m s−1 and a random error (scaled MAD) of 6.49 and
5.37 m s−1 for lidar and radiosondes, respectively.
Funder
Centre National d’Etudes Spatiales
Publisher
Copernicus GmbH
Subject
Atmospheric Science
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