AI IN SUSTAINABILITY
HOW AI WEATHER FORECASTING WORKS
Traditional systems solve complex atmospheric equations in real-time using supercomputers. AI models analyse decades of historical weather data to identify patterns, enabling 200-metre resolution forecasts with a fraction of the computational power required by conventional kilometre-scale systems. losses globally according to Munich Re data. AI forecasting enables insurers to assess risks at specific locations rather than using broad regional data.
Technology expansion targets climate vulnerable regions G42 explores expansion of hyper-local forecasting systems to climate-vulnerable regions across Africa, South Asia and Southeast Asia. These regions experience disproportionate climate change impacts despite lower emissions contributions.
Agricultural applications represent opportunities in developing regions. The Food and Agriculture Organization
254 September 2025