AI to improve forecasts and early warnings worldwide
Pilot projects and AI-driven forecasts are improving preparedness in resource-limited nations, demonstrating the transformative potential of new technologies in meteorology.
The World Meteorological Organisation has highlighted the potential of AI to improve weather forecasts and early warning systems. The organisation urged the public, private, and academic sectors to use AI and machine learning to protect communities from extreme heat and rainfall.
The Extraordinary World Meteorological Congress approved resolutions to speed up Early Warnings for All, targeting universal coverage by 2027. AI will support, not replace, traditional forecasting, providing national meteorological services with ethical, transparent, and open-source tools.
Pilot projects, including a collaboration between Norway and Malawi, have already improved local forecasts.
Congress stressed helping low- and middle-income countries, least developed countries, and small island states access AI technology. WIPPS will use AI to provide advanced forecasts for better preparation against extreme weather and environmental events.
Congress also advanced the Global Greenhouse Gas Watch, WMO’s first Youth Action Plan, and reforms to boost efficiency amid financial constraints. The WMO continues underlining its essential role in resilient development, disaster risk reduction, and global economic stability.
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