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Scientists Propose 'Weather Jiu-Jitsu' to Nudge Extreme Storms

Small, precisely timed interventions guided by AI models could steer or weaken storms, but the authors say major testing, better monitoring and new governance would be needed.

Overview

  • Researchers published a perspective in PLOS Water proposing “Weather Jiu-Jitsu,” a theory that small, precisely timed nudges to the atmosphere can alter large-scale storm steering to reduce damage.
  • The team ran proof-of-concept simulations with established circulation models and the Aurora AI system that suggest sizable effects on past events in principle, including a roughly 300-mile shift in the 2012 Sandy track, an ~18°F rise in 2021 Texas freeze lows, and about a 5% cut to a 2022 atmospheric river’s precipitation.
  • The paper appeared on Wednesday and was covered by multiple outlets on June 25, 2026, emphasizing that the results are modeling experiments and not field-tested interventions.
  • Authors stress that real-world use would demand big advances in high-resolution monitoring, predictive theory, targeted delivery methods and international governance to manage transboundary risks, consent and liability.
  • The proposal is motivated by rising costs from extreme weather—estimated at $417 billion in 2024—and the idea is framed as a possible complement to infrastructure and insurance rather than a near-term operational tool.