Microphysical Responses to Cloud Seeding: Insights From Observation‐Validated Simulations

Abstract Cloud seeding models are essential for understanding seeding mechanisms, yet their reliability remains insufficiently verified due to limited cases with confirmed seeding effects. On 19 March 2017, significant seeding signals were observed by multiple instruments following airborne cloud seeding over a stratiform cloud system with abundant supercooled water in northern China. This study performed an ensemble simulation of the case using two cloud microphysics schemes and three silver iodide (AgI) nucleation parameterizations, successfully replicating the vertical structure and evolution of the seeding‐induced cloud. The simulated seeding impact area, precipitation intensity, and changes in raindrop spectra closely aligned with observations. Results indicate that cloud seeding increased ice crystal amounts primarily through the deposition nucleation of AgI particles, activated the auto‐conversion of ice crystals to snow, enhanced snow deposition and riming processes, and ultimately increased surface precipitation through enhanced snow melting.

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Publication Details

Journal
Geophysical Research Letters
Published
2025-06-24
DOI
https://doi.org/10.1029/2024gl114426
Primary Topic
Atmospheric aerosols and clouds
Type
article
Field-Weighted Citation Impact
0.00

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article

Microphysical Responses to Cloud Seeding: Insights From Observation‐Validated Simulations

Lulin Xue, Shaofeng Hua, Haohao Nie, Baojun Chen et al.
Geophysical Research Letters
Atmospheric aerosols and clouds
article

Microphysical Responses to Cloud Seeding: Insights From Observation‐Validated Simulations

Lulin Xue, Shaofeng Hua, Haohao Nie, Baojun Chen, Zhiguo Yue, Shuwen Zhao, Jing Yang, Weiguo Liu
article en

Abstract

Abstract Cloud seeding models are essential for understanding seeding mechanisms, yet their reliability remains insufficiently verified due to limited cases with confirmed seeding effects. On 19 March 2017, significant seeding signals were observed by multiple instruments following airborne cloud seeding over a stratiform cloud system with abundant supercooled water in northern China. This study performed an ensemble simulation of the case using two cloud microphysics schemes and three silver iodide (AgI) nucleation parameterizations, successfully replicating the vertical structure and evolution of the seeding‐induced cloud. The simulated seeding impact area, precipitation intensity, and changes in raindrop spectra closely aligned with observations. Results indicate that cloud seeding increased ice crystal amounts primarily through the deposition nucleation of AgI particles, activated the auto‐conversion of ice crystals to snow, enhanced snow deposition and riming processes, and ultimately increased surface precipitation through enhanced snow melting.

Geophysical Research LettersVol. 52(12)
NSF National Center for Atmospheric Research (US), China Meteorological Administration (CN), Research Applications (United States) (US), Jilin Weather Modification Office (CN)
National Natural Science Foundation of China, National Key Research and Development Program of China
Openalex Percentile: Top 85%
Atmospheric aerosols and clouds
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Microphysical Responses to Cloud Seeding: Insights From Observation‐Validated Simulations — Lulin Xue, Shaofeng Hua, et al. · Geophysical Research Letters (2025) | TGRS Research Map | TGRS