Articles | Volume 26, issue 8
https://doi.org/10.5194/acp-26-5603-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-26-5603-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
23 Apr 2026
Research article |
| 23 Apr 2026
| 23 Apr 2026
The diurnal cycle and temperature dependence of crystal shapes in ice clouds from satellite lidar polarized measurements
LAERO, Univ Toulouse, CNRS, IRD, Toulouse, France
Hélène Chepfer
LMD/IPSL, Sorbonne Université, Ecole Polytechnique, Institut Polytechnique de Paris, ENS, PSL Université, CNRS, Paris, France
Christelle Barthe
LAERO, Univ Toulouse, CNRS, IRD, Toulouse, France
John Yorks
NASA Goddard Space Flight Center, Greenbelt, Maryland, USA
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This study investigates the long-term changes in the polar stratospheric cloud (PSC) season from 1980 to 2021 above Antarctica. We analyzed CALIOP observations from 2006 to 2020 to build a statistical temperature-based model. We applied our model to gridded reanalysis temperatures, leading to an integrated view of PSC occurrence that is free from sampling issues, allowing us to document the past evolution of the PSC season.
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This study investigates the long-term changes in the polar stratospheric cloud (PSC) season from 1980 to 2021 above Antarctica. We analyzed CALIOP observations from 2006 to 2020 to build a statistical temperature-based model. We applied our model to gridded reanalysis temperatures, leading to an integrated view of PSC occurrence that is free from sampling issues, allowing us to document the past evolution of the PSC season.
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Space-borne lidars have been providing invaluable information of atmospheric optical properties since 2006, and new lidar missions are on the way to ensure continuous observations. In this work, we compare the clouds estimated from space-borne ALADIN and CALIOP lidar observations. The analysis of collocated data shows that the agreement between the retrieved clouds is good up to 3 km height. Above that, ALADIN detects 40 % less clouds than CALIOP, except for polar stratospheric clouds (PSCs).
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Short summary
The shape of crystals in ice clouds drives their impact on the earth energy balance. These shapes are very variable and hard to categorize. In this paper, we use a recently developed method to classify clouds in categories of crystal shape. We apply this method to 33 months of measurements from a lidar in space. We discuss how the importance of shape categories changes with the time of the day. These results could be useful for people who try to simulate clouds in atmospheric models.
The shape of crystals in ice clouds drives their impact on the earth energy balance. These...
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