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. The aim of this study is to investigate the potential of theGlobal Ozone Monitoring Experiment-2 (GOME-2) instruments, aboard theMeteorological Operational (MetOp)-A, MetOp-B and MetOp-C satellite programme platforms, todeliver accurate geometrical features of lofted aerosol layers. For thispurpose, we use archived ground-based lidar data from stations availablefrom the European Aerosol Research Lidar Network (EARLINET) database. Thedata are post-processed using the wavelet covariance transform (WCT) methodin order to extract geometrical features such as the planetary boundarylayer (PBL) height and the cloud boundaries. To obtain a significant numberof collocated and coincident GOME-2 – EARLINET cases for the period betweenJanuary 2007 and September 2019, 13 lidar stations, distributed overdifferent European latitudes, contributed to this validation. For the 172carefully screened collocations, the mean bias was found to be −0.18 ± 1.68 km,with a near-Gaussian distribution. On a station basis, and with acouple of exceptions where very few collocations were found, their meanbiases fall in the ± 1 km range with an associated standard deviationbetween 0.5 and 1.5 km. Considering the differences, mainly due to thetemporal collocation and the difference, between the satellite pixel sizeand the point view of the ground-based observations, these results can bequite promising and demonstrate that stable and extended aerosol layers ascaptured by the satellite sensors are verified by the ground-based data. Wefurther present an in-depth analysis of a strong and long-lasting Saharandust intrusion over the Iberian Peninsula. We show that, for thiswell-developed and spatially well-spread aerosol layer, most GOME-2retrievals fall within 1 km of the exact temporally collocated lidarobservation for the entire range of 0 to 150 km radii. This finding furthertestifies for the capabilities of the MetOp-borne instruments to sense theatmospheric aerosol layer heights.

First validation of GOME-2/MetOp absorbing aerosol height using EARLINET lidar observations