AI-based weather forecasting system for the U.S. Air Force by ATMO, INC. — a federal contract (USAspending)

Weather forecasting has long relied on "numerical weather prediction" — the approach of solving the physical equations governing the atmosphere on computers to predict future conditions. In recent years, forecasting based on AI and machine learning, which learns patterns from vast amounts of past observational data, has drawn attention for being fast to compute and highly accurate, and the field has developed rapidly. This contract represents the U.S. Air Force procuring such an AI-based weather forecasting system from a private company.

This procurement matters because military operations are tightly linked to weather. Conditions such as whether aircraft can fly, visibility, wind, and precipitation strongly affect the success and safety of operations. Sourcing faster, more accurate forecasting from specialized outside firms is one example of a broader pattern in which government agencies supplement their own development by drawing on advanced commercial technology.

Viewed across domains, this case offers a clue to where and in which agencies the federal government is adopting artificial-intelligence capabilities. Applying AI to a highly public field like weather is a theme that can ripple beyond defense into civil aviation, disaster preparedness, and energy, making this a useful data point for tracking technology-adoption trends through government procurement records.