How Supercomputers Allow Scientists to Make Climate Predictions Under Uncertainty

Over time, applied mathematicians and scientists have developed algorithmic tools for supercomputing that allow us to make sound climate predictions under uncertainty and have formulated ways to improve forecasts by combining climate models, observations, and AI methodologies with accuracy and speed. They have also developed probabilistic methods that allow us to explain rare, extreme weather events and risk analyses algorithms that inform the response of a community to climate hazards. This video explains how mathematical modeling and supercomputing can be used to make sound climate predictions under uncertainty, and the important role computational scientists play in making these predictions.

In this video, you’ll meet Katherine Evans, Juan Restrepo, and Slaven Peles of Oak Ridge National Laboratory who are working together behind the scenes to solve the climate crisis and learn the important role scientists play in providing reliable climate predictions that help keep people and the planet safe.

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