2008-2020 lidar measurements of Polar Stratospheric Clouds at the French antarctic station Dumont d’Urville
International audience Polar Stratospheric Clouds (PSCs) are precursors in the polar stratospheric ozone depletionprocesses. Aside from recent improvements in both spaceborne PSCs monitoring andclassification as well as investigations on microphysics and modeling, there are still uncertaintiesassoci...
Main Authors: | , , |
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Other Authors: | , , |
Format: | Conference Object |
Language: | English |
Published: |
HAL CCSD
2022
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Subjects: | |
Online Access: | https://hal-insu.archives-ouvertes.fr/insu-03751850 https://doi.org/10.5194/egusphere-egu22-11418 |
Summary: | International audience Polar Stratospheric Clouds (PSCs) are precursors in the polar stratospheric ozone depletionprocesses. Aside from recent improvements in both spaceborne PSCs monitoring andclassification as well as investigations on microphysics and modeling, there are still uncertaintiesassociated to solid particle formation and their denitrification potential. Besides, complexpathways in PSC formation microphysics lead to mixtures of particles with different opticalproperties and chemical efficiencies. In that regard, groundbased instruments deliver detailed andvaluable measurements that complement the global spaceborne coverage especially in areas nearthe vortex edge where spaceborne coverage is more difficult and PSC fields present finerstructures, especially regarding altitude, similar to the Arctic. Operated at the French antarctic station Dumont d’Urville (DDU) in the frame of the internationalNetwork for the Detection of Atmospheric Composition Change (NDACC), the Rayleigh/Mie/Ramanstratospheric lidar provides a solid dataset to feed both process and classification studies, bymonitoring cloud and aerosol occurrences in the upper troposphere and lower stratosphere.Located on the antarctic shore (66°S - 140°E), the station has a privileged access to polar vortexdynamics and also recorded persistent signatures of the 2019/2020 Australian originated wildfires.We hereby present a consolidated dataset from 10 years of lidar measurements using the 532nmbackscatter ratio, the aerosol depolarisation and local atmospheric conditions to help in buildingan aerosol/cloud classification based on existing works using 2008-2020 data.Overall, the DDU PSC pattern is very consistent with expected typical temperature controlledmicrophysical calculations. Outside of background sulfate aerosols and anomalies related tovolcanic activity (like in 2015), Supercooled Ternary Solution (STS) particles are the most observedparticle type, closely followed by Nitric Acid Trihydrate (NAT). ICE clouds are less but ... |
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