Machine learning is a method of data analysis that automates analytical model building. It is a branch of artificial intelligence (AI) based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention. This very interesting topic came to us from HPC Wire in their article, “Could Machine Learning Replace the Entire Weather Forecast System?”
Weather and climate modeling are among the most use cases for supercomputers. Research and forecasting agencies often struggle to keep up with the computing needs of models that are simulating the atmosphere of the entire planet in minute detail on a regular basis.
Machine learning applications are really spread all over the entire workflow of weather prediction, including observations, data assimilation, numerical weather forecasting and post-processing and dissemination. Machine learning has the potential to be used for anything from weather data monitoring to learning the underlying equations of atmospheric motions.
Melody K. Smith
Sponsored by Data Harmony, a unit of Access Innovations, the world leader in indexing and making content findable.
