Weather forecasting

ML is a suitable tool for making short-term weather predictions based on the observed initial conditions, and post-processing the output from weather models.

ML Application areas

 * Storm tracking: While climate models can forecast long-term changes in the climate system, separate systems are required to detect specific extreme weather phenomena, like cyclones, atmospheric rivers, and tornadoes. Identifying extreme events in climate model outputs can inform scientific understanding of where and when these events may occur. ML can help classify, detect, and track climate-related extreme events such as hurricanes in climate model outputs.