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Redistribution of Snowfall across a Mountain Range by Artificial Seeding: A Case Study
Summary
Cloud seeding in the Cascade Mountains modified snow crystal properties and altered snowfall patterns. Seeding reduced snow at the crest while increasing it 20 km east, demonstrating successful precipitation diversion.
Area of Science:
- Atmospheric Science
- Meteorology
- Cloud Physics
Background:
- Artificial cloud seeding is explored as a method to influence precipitation.
- Understanding snow crystal formation and fall dynamics is crucial for weather modification.
Purpose of the Study:
- To assess the impact of artificial cloud seeding on snow crystal characteristics.
- To determine if cloud seeding can alter snowfall distribution over mountain ranges.
Main Methods:
- Aircraft were used to observe clouds over the western Cascade Mountains.
- Artificial seeding agents were introduced into the clouds.
- Snow crystal habits and riming were analyzed post-seeding.
Main Results:
- Cloud glaciation was confirmed following artificial seeding.
- Snow crystal habits and riming were significantly modified.
- Snowfall rates decreased at the mountain crest and increased 20 km east.
Conclusions:
- Artificial cloud seeding can alter snow crystal properties.
- Snowfall can be successfully diverted from mountain crests using cloud seeding techniques.
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