Rainmaker is partnering with Atmo, an AI meteorology startup. Atmo focuses on atmospheric forecasting while Rainmaker implements cloud seeding to enhance precipitation. Under the collaboration, Atmo will use deep learning models to identify clouds suitable for seeding, and Rainmaker will provide radar data to assess resulting rainfall. Despite conspiracy theories linking Rainmaker's operations to recent floods in Texas, scientists assert cloud seeding has a negligible impact on large storms. The method is prevalent in the Western United States, primarily to augment water supplies and snowpack.
Somebody is looking for somebody to blame, Bob Rauber, a professor of atmospheric sciences at the University of Illinois, told TechCrunch last week.
Though cloud seeding can nudge clouds to drop more precipitation, it's a small amount compared with the size of a storm.
One well-documented case in Idaho released an additional 186 million gallons of precipitation, which pales in comparison with the trillions of gallons of water a large storm will process.
Cloud seeding is widely used throughout the Western United States, mostly to augment snowpack and boost the amount of water that ends up in reservoirs in the summer.
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