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The UK government is deploying artificial intelligence-powered weather forecasting systems to help climate-vulnerable countries brace for what could be one of the most powerful El Niño events on record, with forecasters warning the phenomenon could escalate into a “Super El Niño” heading into 2027.
The Foreign, Commonwealth and Development Office is partnering with the Met Office to roll out AI-driven forecasting tools across parts of Africa and South-East Asia, starting with the Philippines. The initiative builds on existing FCDO-funded programmes like WISER, which has already supported early warning systems across Africa with Met Office leadership. The Met Office has been developing AI weather prediction capabilities through its AI for Numerical Weather Prediction programme and its FastNet machine learning model, which aim to deliver faster and more precise forecasts of extreme weather events.yahoo
The announcement comes as the World Meteorological Organization has indicated an 80% likelihood of El Niño conditions during June to August 2026, while NOAA formally declared El Niño’s arrival on June 11.cnn
According to NOAA’s Climate Prediction Center, there is a 63% chance this El Niño will develop into a “very strong” event from November 2026 to January 2027, which would rank among the largest on record since 1950. To qualify as a Super El Niño, tropical Pacific waters must exceed average temperatures by more than 2 degrees Celsius.bbc
The impacts could be far-reaching. Regions including the Philippines, Indonesia, Australia, and parts of Africa face heightened risks of drought, while northern Peru, southern Ecuador, and parts of East Africa could see severe flooding. Reuters has reported that a Super El Niño could trigger a global food price shock, with projections of price increases ranging from 10% to 50% across key commodities.reuters
Fitch Ratings has warned of potential economic and inflationary pressures extending into 2027, noting the 96% probability that El Niño conditions will persist through the December 2026 to February 2027 period. Schroders has cautioned that a strong El Niño threatens “rolling waves of commodity-driven inflation” into next year, as shifting rainfall patterns disrupt agricultural production across major growing regions. Particularly susceptible crops include rice, palm oil, sugarcane, and coffee, which could see price spikes of 50% to 100%.ideal-investisseur
The deployment of AI forecasting tools represents an effort to give vulnerable nations more lead time to prepare, though the scale of a potential Super El Niño may test even advanced warning systems.