Rainmaker partners with Atmo to squeeze more rain from clouds

The article discusses a partnership between two startups, Rainmaker and Atmo, which operate at different stages of weather modification and forecasting. Atmo uses deep learning models to analyze atmospheric patterns and forecast weather events, helping Rainmaker identify clouds suitable for cloud seeding. Rainmaker then deploys cloud seeding via small drones to enhance precipitation from these clouds. In return, Rainmaker provides data from its proprietary radar system to measure the additional rainfall generated. This collaboration aims to optimize cloud seeding efforts by combining advanced forecasting with targeted precipitation enhancement. Despite recent conspiracy theories in Texas blaming Rainmaker for floods, scientists consulted by TechCrunch emphasize that cloud seeding can only induce a relatively small increase in precipitation compared to the vast volume processed by large storms. Cloud seeding is commonly used in the Western U.S. to augment snowpack and reservoir water levels, with more modest results in regions like West Texas due to differences in cloud responsiveness. Experts note that rainstorms, already primed to release precipitation, are less