For decades, meteorologists faced a choice: model Earth's weather patterns at a global scale, or zero in on detailed regional forecasts. The computational demands made doing both simultaneously prohibitively expensive—until now.
Beginning nearly two years ago, the U.S. Air Force selected Atmo's revolutionary AI-powered forecasting system to deliver simultaneous global and regional weather predictions with unprecedented speed and precision. Our system transforms what was once a computational marathon into a sprint, generating detailed multi-scale forecasts in seconds rather than hours.
The Military Value of Dual-Scale AI Meteorology
Imagine having both a telescope and a microscope for weather, working in perfect synchronization. Our global model captures massive atmospheric patterns that shape weather systems across continents—from jet streams to cyclonic formations. Simultaneously, our regional models drill down to reveal critical local details: wind patterns around specific airfields, precipitation intensity in target areas, and micro-climate effects in complex terrain.
This dual-scale approach isn't just about having two separate systems. The real breakthrough lies in how our AI seamlessly integrates these perspectives, creating a coherent understanding of weather patterns from global circulation down to local conditions. It's the meteorological equivalent of being able to see both the forest and the trees—simultaneously and in perfect detail.
Proven Under Pressure
"Our mission is to make high-resolution weather prediction as ubiquitous as smartphones themselves," says Johan Mathe, CTO and Co-Founder of Atmo. "The Air Force partnership validates not just our technology, but our ability to deliver military-grade reliability under the most demanding operational conditions."
The selection process subjected Atmo's system to rigorous testing against the Air Force's exacting standards for operational forecasting. The evaluation focused on forecast accuracy across multiple time scales, computational efficiency and speed, and system reliability under high-stress scenarios
Atmo’s multi-scale system excelled in all three areas, demonstrating that speed and accuracy aren't mutually exclusive when backed by sophisticated AI architecture.
Beyond Military Applications
While the Air Force contract marks a significant milestone, the implications of this technology extend far beyond military applications. The same system that helps military planners track weather systems across theaters of operation can help commercial aviators avoid turbulence, facilitate energy grid optimization, or assist emergency responders in planning for severe weather events.
About Atmo
Atmo, Inc. is the leading company bringing artificial intelligence to meteorology for governments, militaries, and corporations. Based in San Francisco, Atmo builds state-of-the-art AI weather forecasts using Deep Learning Neural Networks. Atmo has rapidly become a trusted AI meteorology partner for high-stakes users worldwide, such as the US Department of Defense. Today, Atmo forecasting systems protect vital infrastructure and enhance economic activity for its partners, including disaster response, renewable energy, agriculture, transportation, and national security.
