Laboratoire de l'Atmosphère et des Cyclones (LACy, UMR 8105 CNRS, Université de la Réunion, Météo-France), Université de La Réunion, 97400 Saint-Denis de La Réunion, France
Valentin Duflot
Laboratoire de l'Atmosphère et des Cyclones (LACy, UMR 8105 CNRS, Université de la Réunion, Météo-France), Université de La Réunion, 97400 Saint-Denis de La Réunion, France
Guillaume Payen
Observatoire des Sciences de l'Univers de La Réunion
(OSU-Réunion), UAR 3365, Université de la Réunion, CNRS, Météo-France, 97400 Saint-Denis de La Réunion, France
Philippe Keckhut
LATMOS/IPSL, UVSQ Université Paris-Saclay, Sorbonne
Université, CNRS, 75000 Paris, France
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Total article views: 1,994 (including HTML, PDF, and XML)
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1,459
462
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1,994
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112
HTML: 1,459
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BibTeX: 102
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473
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Viewed (geographical distribution)
Total article views: 2,744 (including HTML, PDF, and XML)
Thereof 2,699 with geography defined
and 45 with unknown origin.
Total article views: 1,994 (including HTML, PDF, and XML)
Thereof 1,954 with geography defined
and 40 with unknown origin.
Total article views: 750 (including HTML, PDF, and XML)
Thereof 745 with geography defined
and 5 with unknown origin.
The comparison of water vapor lidar measurements with co-located radiosondes and aerosol backscatter profiles indicates that laser-induced aerosol fluorescence in smoke layers injected into the stratosphere can introduce very large and chronic wet biases above 15 km, thus impacting the ability of these systems to accurately estimate long-term water vapor trends. The proposed correction method presented in this work is able to reduce this fluorescence-induced bias from 75 % to under 5 %.
The comparison of water vapor lidar measurements with co-located radiosondes and aerosol...