Aircraft Icing: In‐Cloud Measurements and Explicit Prediction of Supercooled Large Droplets in Icing Clouds of Eastern China Using Multi‐Moment Microphysics Schemes

Abstract The characteristics of supercooled liquid water (SLW) within icing clouds over eastern China are investigated using in situ aircraft observations and numerical simulations. Supercooled liquid water content increases from 0 to −4°C, but decreases sharply below −4°C. Abundant supercooled large droplets (SLD) were observed, with the effective diameter reaching 175 and number concentration ( N t ) exceeding 19 cm −3 . An aircraft icing rate and intensity forecast algorithm is proposed by incorporating flight conditions and SLW spectral characteristics, together with a new diagnostic relation between cloud droplet shape parameter and N t implemented into the three‐moment NSSL scheme. Sensitivity simulations indicate that the improved scheme can reproduce well the temperature‐dependent variation of SLW content, and significantly enhance forecasted rate of icing, intensity, and icing cloud layer depth.

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Publication Details

Journal
Geophysical Research Letters
Published
2026-11-03
DOI
https://doi.org/10.1029/2026gl124868
Primary Topic
Icing and De-icing Technologies
Type
article
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article

Aircraft Icing: In‐Cloud Measurements and Explicit Prediction of Supercooled Large Droplets in Icing Clouds of Eastern China Using Multi‐Moment Microphysics Schemes

Ming Xue, Rong Zhang, Liping Luo, Jing Sun et al.
Geophysical Research Letters
Icing and De-icing Technologies
article

Aircraft Icing: In‐Cloud Measurements and Explicit Prediction of Supercooled Large Droplets in Icing Clouds of Eastern China Using Multi‐Moment Microphysics Schemes

Ming Xue, Rong Zhang, Liping Luo, Jing Sun, hongyang Wang, Xi Chen
article en

Abstract

Abstract The characteristics of supercooled liquid water (SLW) within icing clouds over eastern China are investigated using in situ aircraft observations and numerical simulations. Supercooled liquid water content increases from 0 to −4°C, but decreases sharply below −4°C. Abundant supercooled large droplets (SLD) were observed, with the effective diameter reaching 175 and number concentration ( N t ) exceeding 19 cm −3 . An aircraft icing rate and intensity forecast algorithm is proposed by incorporating flight conditions and SLW spectral characteristics, together with a new diagnostic relation between cloud droplet shape parameter and N t implemented into the three‐moment NSSL scheme. Sensitivity simulations indicate that the improved scheme can reproduce well the temperature‐dependent variation of SLW content, and significantly enhance forecasted rate of icing, intensity, and icing cloud layer depth.

Geophysical Research LettersVol. 53(21)
China Meteorological Administration (CN), Jilin Weather Modification Office (CN), Shanghai Typhoon Institute (CN), University of Oklahoma (US), Nanjing University of Aeronautics and Astronautics (CN)
Openalex Percentile: Top 20%
Icing and De-icing Technologies
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