How AI technologies transform national meteorological services delivery

This article explores how AI, generative AI, and agentic AI technologies are transforming national meteorological services and weather forecasting capabilities.

• AI complements traditional physics-based models for more accurate, localized forecasts
• Users increasingly seek weather impact insights, not just forecasts
• Public-private collaboration essential to realize AI's full potential
• WIS 2.0 cloud platform democratizes access to meteorological data globally
• UK Met Office uses generative AI to modernize 300+ text-based weather products
• Sencrop's ML app provides hyperlocal climate data to optimize farming decisions
• Governance frameworks and transparency needed to maintain trust in AI forecasts

Successful transformation requires combining AI speed with scientific rigor, fostering public-private partnerships, and establishing appropriate governance to address security and accountability concerns.