New Climate Models Sharpen Regional Risk Forecasts for Extreme Weather and Renewable Energy Planning

Researchers across Europe have developed higher-resolution climate models that simulate local weather patterns, ocean currents, and carbon flows at scales of a few kilometers. The EU-funded ESM2025 and NextGEMS projects improved how models represent land-ocean carbon exchange, with rivers now estimated to carry 20% more carbon to oceans than previously thought. This refinement helps trace how human emissions move through the Earth system and affect regional climates. These models give policymakers and industries clearer data on region-specific risks like heat extremes, drought, and shifting wind patterns. For example, wind energy developers can use local wind forecasts to better site turbines, while adaptation planners can allocate resources where risks are highest. The research also integrates machine learning to reduce uncertainties, making the projections more useful for practical decision-making.