Machine Learning for Applied Weather Prediction

2018 IEEE 14th International Conference on e-Science (e-Science)(2018)

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摘要
The National Center for Atmospheric Research (NCAR) has a long history of applying machine learning to weather forecasting challenges. The Dynamic Integrated foreCasting (DICast®) System was one of the first automated weather forecasting engines. It is now in use in quite a few companies with many applications. Some applications being accomplished at NCAR that include DICast and other artificial intelligence technologies include renewable energy, surface transportation, and wildland fire forecasting.
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关键词
artificial intelligence,machine learning,renewable energy,surface transportation,weather forecasting
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