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Tempest News _ February 2023.pdf
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📊 Size: 432 KB
📄 Pages: 7 pages
⬇️ Downloads: 70

Summary

Dr. Jeff Copeland, Chief Scientist at WeatherFlow-Tempest, discusses the company's use of artificial intelligence (AI) and machine learning in weather forecasting. WeatherFlow-Tempest's Nearcast Technology utilizes AI to deliver high-value, curated datasets, informing users of current and future weather conditions. The technology gathers data from over 50,000 Tempest stations, satellites, radar, and government sources, which is then curated and combined with physics-based numerical forecast models to train AI models. These models are used to reduce errors in numerical weather forecasts, rather than directly predicting the weather. AI is used to discover and correct model errors, allowing for more accurate forecasts. Current areas of focus include correcting errors in numerical weather predictions, storm prediction, and rain and lightning forecasting. The company is also working on incorporating user feedback into AI model training to further improve forecast accuracy.

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  • File Format: PDF
  • File Size: 432 KB
  • Pages: 7
  • Language: EN
  • Total Downloads: 70
  • Last Updated: 1 week ago

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