A Case Study of Cloud Microphysical Response to Cloud Seeding in Wintertime Orographic Clouds

Zhixing Xie, Katja Friedrich, Lulin Xue, Sisi Chen, Sarah Tessendorf, Jeffrey R. French, Christopher Hohman

Research output: Contribution to journalArticlepeer-review

Abstract

Cloud seeding has been widely used for enhancing wintertime snowfall, particularly to augment water resources. This study examines microphysical responses to airborne glaciogenic seeding with silver iodide (AgI) during a specific case from the Seeded and Natural Orographic Wintertime Clouds: Idaho Experiment (SNOWIE) on 11 January 2017. Ground-based and airborne remote sensing and in situ measurements were employed to assess the impact of cloud seeding on cloud properties and precipitation formation. On 11th January, AgI propagated downwind along prevailing winds, and any potential ice and snow particles created from it were identified by ground-based radar as zigzag lines of enhanced reflectivity compared to background reflectivity. As the aircraft flew several times through these seeded clouds, microphysical properties within seeded clouds can be compared to those observed in unseeded clouds. The results indicate that seeded clouds exhibited significantly enhanced ice water content (IWC; reaching up to 0.20 g m−3) and precipitating-size (>400 μm) ice particle concentrations (>7 L−1) relative to unseeded clouds. Additionally, seeded clouds exhibited a 30% decrease in the mean liquid water content (LWC) and cloud droplet concentrations, indicating efficient glaciation processes influenced by AgI. Precipitating snow development in seeded clouds occurred within 15–40 min following AgI release, marked by a transition from mixed-phase clouds with abundant supercooled liquid water (SLW) to ice clouds, with lidar-measured linear depolarization ratio (LDR) increasing to >0.3. These findings underscore the effectiveness of cloud seeding in enhancing snowfall by facilitating ice initiation and growth.

Original languageAmerican English
Pages (from-to)1249
Number of pages1270
JournalJournal of Applied Meteorology and Climatology
Volume64
Issue number9
DOIs
StatePublished - Sep 2025

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