Redefining Energy 194. Next-Gen Weather Forecasting: AI, Satellites, and Drones - Sep25
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Sep 8, 2025 Martin J. Fengler, a German mathematician and CEO of Meteomatics AG, shares insights into the future of weather forecasting powered by AI, satellites, and drones. He discusses how advanced technology is transforming predictions, crucial for maximizing renewable energy efficiency. The conversation covers surprising uses of weather tech, the growing risks of extreme weather, and even the quirky topic of wind theft. Plus, get ready for a humorous wrap-up with a sing-along, highlighting the blend of friendship and science!
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Weather Drives Energy Value
- Weather strongly drives both energy demand and renewable generation through temperature, radiation, and wind.
- Precise meteorological knowledge materially improves energy production and planning.
Limits Of Coarse Weather Models
- Weather forecasting solves hard physics equations and needs high-performance numerics and computing power.
- Coarse models miss small-scale phenomena and poor initial states reduce forecast quality.
Improve Forecasts By Upscaling Resolution
- Invest in higher-resolution, larger-domain models and assimilate more observational data to improve forecasts.
- Use proprietary measurements, like meteorological drones, to strengthen the initial state for better accuracy.