Preprints
https://doi.org/10.5194/egusphere-2025-5018
https://doi.org/10.5194/egusphere-2025-5018
14 Nov 2025
 | 14 Nov 2025
Status: this preprint is open for discussion and under review for Atmospheric Chemistry and Physics (ACP).

The diurnal cycle and temperature dependence of crystal shapes in ice clouds from satellite lidar polarized measurements

Vincent Noel, Hélène Chepfer, Christelle Barthe, and John Yorks

Abstract. The shape of crystals in ice clouds influences many aspects of the cloud lifecycle and radiative impact, yet they are extremely variable and hard to categorize. In this paper, we apply a recent crystal shape classification methodology to 33 months of spaceborne lidar measurements. We take advantage of their non-sun-synchronous nature to document the diurnal variability of ice crystal shapes. We find that that mid-level clouds are dominated by 3D bullets and 2D columns, with more 3D bullets at higher latitudes, in agreement with previous results. Shape dependence on latitude is generally symmetric around the equator. We document the repartition of shapes with temperatures, and show that the proportion of complex shapes (Droxtals and Voronois) increases at colder temperatures, becoming dominant below -60 °C. Finally, we document the diurnal cycle of the repartition of shapes according to temperature and latitude. We find that 2D plates and columns appear preferentially during daytime, while complex shapes are more likely to appear during nighttime. 3D bullets follow a unique behavior, shifting from a daytime maximum at coldest temperatures to a nighttime maximum at warmer temperatures. The amplitude of diurnal cycles generally strengthens at colder temperatures. These results provide new constraints for the representation of ice clouds in atmospheric and climate models.

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Vincent Noel, Hélène Chepfer, Christelle Barthe, and John Yorks

Status: open (until 26 Dec 2025)

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Vincent Noel, Hélène Chepfer, Christelle Barthe, and John Yorks
Vincent Noel, Hélène Chepfer, Christelle Barthe, and John Yorks
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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 put 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.
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