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We want to have the results within a week, so that we can really accelerate decision-making for climate scientists, said Yu, who is an assistant professor in the Department of Computer Science and Engineering at the Jacobs School of Engineering and the Halcolu Data Science Institute.

Ambitious? Yes. But thats where artificial intelligence comes in. Thanks to a $3.6 million grant awarded in 2021 by the Department of Energy, Yu and two UC San Diego colleagues, Yian Ma and Lawrence Saul, have teamed up with researchers at Columbia University and UC Irvine to develop new machine learning methods that can speed up these climate models, better predict the future, and improve our understanding of climate extremes.

This work comes at a crucial time, as it becomes increasingly important that we develop an accurate understanding of how climate change is impacting our Earth, our communities and our daily livesand how to use that newfound knowledge to inform climate action. To date, the team has published more than 20 papers in both machine learning and climate science-related journals as they continue to push the boundaries of science and engineering on this highly consequential front.

To increase the accuracy of predictionsand quantify their inherent uncertaintythe team is working on customizing algorithms to embed physical laws and first principles into deep learning models, a form of machine learning that essentially imitates the function of the human brain. Its no small task, but its given them the opportunity to collaborate closely with climate scientists who are putting these machine learning methods into practical algorithms in climate modeling.

Because of this grant, we have established new connections and new collaborations to expand the impact of AI methods to climate science, said Yu. We started working on algorithms and models with the application of climate in mind, and now we can really work closely with climate scientists to validate our models.

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The AI Revolution is Upon UsAnd UC San Diego Researchers Are ... - University of California San Diego