AI-based meteorology company Atmo and cloud seeding company Rainmaker Technology Corporation have partnered to develop a weather modification platform and support the restoration of water supplies.
By combining Atmo’s accurate AI weather simulations with Rainmaker’s radar-validated cloud seeding platform, the partnership aims to deliver measurable, precise and cost-effective precipitation enhancement. The companies will initially focus on North American and Pacific operations, with plans to expand globally as regulatory frameworks develop for precision weather modification services.
Integrating systems
Under the alliance, Rainmaker will integrate Atmo’s AI weather forecasting and simulation capabilities into its operations. This will include Atmo’s ensemble deep learning models, which are expected to enable Rainmaker to identify optimal seeding conditions with accuracy. Additionally, the meteorology company’s advanced scenario modeling is expected to optimize precipitation outcomes by simulating thousands of potential seeding strategies in real time.
Beyond this, Atmo’s continuous weather monitoring combined with Rainmaker’s proprietary radar validation system will provide real-time measurement of seeding effectiveness, and Atmo will offer its customers a menu of weather modification interventions, provided and conducted by Rainmaker, to mitigate drought and severe weather impacts.
Technologies driving the alliance
Rainmaker has developed the only sub-55-pound (25kg) drone capable of flying in severe icing conditions, enabling effective seeding in supercooled liquid conditions at orders of magnitude lower cost than traditional aircraft operations. Rainmaker’s internally designed and manufactured radar system provides unprecedented measurement and attribution of precipitation from cloud seeding operations, enabling real-time physical measurement of seeding effects with precision.
Atmo’s AI meteorology system learns from over 60 years of climate data and is continuously updated with data from numerous satellites, ground stations and radars. The AI models are up to 100 times more detailed and 40,000 times faster than traditional supercomputer-based forecasting, enabling precision weather simulation at unprecedented resolution and speed.
“We realized that solving weather challenges requires partnering at scale,” noted Alexander Levy, CEO of Atmo. “By combining Atmo and Rainmaker’s networks and expertise, we can now offer governments a complete weather prediction and modification system that no one else can match.”
“We’re both trailblazers in atmospheric science,” added Augustus Doricko, CEO of Rainmaker. “This partnership allows us to share opportunities globally and ensure that no institution has to choose between knowing what weather is coming and being able to influence it. They can have both.”
In related news, University of Miami atmospheric scientists recently deployed to Greenland for a NASA field campaign to study the rapid loss of ice in the region and its effect on the world’s climate.