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Transfer learning unlocks FY-4A satellite for high-accuracy solar radiation data

Learn how a new transfer learning framework enables China's FY-4A satellite to estimate surface solar radiation with high accuracy, boosting solar power forecasting and climate research.

This breakthrough matters because accurate solar radiation data is critical for optimizing solar energy systems, improving power grid reliability, and advancing climate models. By enabling FY-4A to estimate direct and diffuse sunlight separately, the framework helps solar farm operators forecast output more precisely, especially under cloudy conditions, and supports better site selection for concentrating solar power. The reduced need for auxiliary meteorological data makes it more practical for real-time monitoring, accelerating the clean-energy transition in Asia and beyond.