An AI-driven weather startup has demonstrated forecasting capabilities that outperform traditional government agencies. This development highlights the growing influence of artificial intelligence in meteorology and may signal significant changes for the industry.
MIT Lincoln Laboratory has developed compact microwave sounders for CubeSat satellites, radically enhancing the frequency and precision of weather data collection. Initially tested in NASA’s TROPICS mission, this innovation enables near-hourly tracking of storms, offering critical improvements in weather forecasting and management across key sectors.
A new study led by MIT and Imperial College London reveals that using data from multiple satellite sources—both geostationary and low-Earth orbit—alongside ground-based observations could significantly improve detection and avoidance of aircraft contrails. These ice-cloud trails account for a major portion of aviation’s contribution to climate change, and better monitoring is seen as a promising tool in cutting the sector’s environmental impact.
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