Preprints
https://doi.org/10.5194/egusphere-2026-6312
https://doi.org/10.5194/egusphere-2026-6312
23 Oct 2026
 | 23 Oct 2026
Status: this preprint is open for discussion and under review for Atmospheric Chemistry and Physics (ACP).

Detecting riming in stratiform clouds using EarthCARE Doppler observations

Jiseob Kim, Pavlos Kollias, Bernat Puigdomènech Treserras, Alessandro Battaglia, Zhipeng Qu, and Cuong Nguyen

Abstract. The EarthCARE Cloud Profiling Radar (CPR), the first Doppler cloud radar in space, provides near-global Doppler velocity observations from which hydrometeor sedimentation velocity can be retrieved, creating a new opportunity to identify riming in clouds. Riming increases the density and fall speed of ice particles as supercooled liquid water (SLW) droplets freeze onto their surfaces, influencing cloud evolution and precipitation. Yet where riming occurs has remained largely beyond satellite observations. We introduce a method for detecting riming in stratiform clouds from sharp downward increases in hydrometeor sedimentation velocity. The detection threshold is derived from ice and snow gates where the Atmospheric Lidar (ATLID) signal remains unextinguished and no SLW is detected, and marks an acceleration rarely produced by vapor deposition and aggregation alone. The criterion requires a downward gradient of at least 0.4 m s−1 km−1 sustained over a minimum vertical distance of 300 m. In shallow mixed-phase clouds over ocean, detections concentrate within the independently estimated SLW layer and become more frequent as the SLW amount increases. Riming detection frequency often exceeds 50 % within the layer once SLW path surpasses about 200 g m−2. During a coordinated aircraft underflight, rimed particles were visually identified within and below detected riming regions, while a region dominated by unrimed crystals and aggregates showed little detected riming. These aircraft observations consistently support the interpretation that the detected signatures correspond to riming. The resulting observations provide a new satellite-based constraint on the occurrence of riming and its representation in weather and climate models.

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Jiseob Kim, Pavlos Kollias, Bernat Puigdomènech Treserras, Alessandro Battaglia, Zhipeng Qu, and Cuong Nguyen

Status: open (until 04 Dec 2026)

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Jiseob Kim, Pavlos Kollias, Bernat Puigdomènech Treserras, Alessandro Battaglia, Zhipeng Qu, and Cuong Nguyen

Data sets

EarthCARE Level-2 products (C-FMR, C-CD, C-TC, and AC-TC) European Space Agency (ESA) https://explorer.maap.eo.esa.int

ECALOT airborne radar and in situ microphysical observations ESA Validation Data Centre (EVDC) https://evdc.esa.int/search

Jiseob Kim, Pavlos Kollias, Bernat Puigdomènech Treserras, Alessandro Battaglia, Zhipeng Qu, and Cuong Nguyen
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Latest update: 23 Oct 2026
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Short summary
EarthCARE's Cloud Profiling Radar measures how fast ice particles fall. We used it to detect riming, a process in which liquid droplets freeze onto ice particles and make them fall faster. Our method uses sharp increases in fall speed toward cloud base. Detections were more frequent in clouds with more liquid water and supported by aircraft observations. We produced the first near-global map of riming in stratiform clouds, providing new observational constraints for weather and climate models.
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