Researchers are Using Machine Learning to Better Predict Weather Patterns

The enormous amount of data from Earth-observing satellites is pushing researchers to use machine learning to mine weather information and improve climate models.  Researchers are using this area of artificial intelligence to discover new climate patterns and understand how climate change is shifting them.

In 2016, researchers first used machine learning to identify tropical cyclones, atmospheric rivers and weather fronts [1].  This same research team is now studying how to use machine learning to find and predict extreme weather patterns and understands shifts in climate.

More: How machine learning could help to improve climate forecasts, Nature, August 23, 2017.

Reference

Liu, Y., Racah, E., Correa, J., Khosrowshahi, A., Lavers, D., Kunkel, K., … & Collins, W. (2016). Application of deep convolutional neural networks for detecting extreme weather in climate datasets. arXiv preprint arXiv:1605.01156.

See Also

• GIS and Innovations in Machine Learning
• Using Machine Learning and Satellite Imagery to Estimate Corn Crop Production
• Building Missing Weather Data