NVIDIA AI Podcast

AI2’s Christopher Bretherton Discusses Using Machine Learning for Climate Modeling - Ep. 220

Share this episode
Anyone with this link can open it.
Share Link
Start at 0:00

This episode isn’t summarized yet

Create a free account and summarize it. In a few minutes you’ll have the key takeaways and a section-by-section summary.

Show notes

Can machine learning help predict extreme weather events and climate change? Christopher Bretherton, senior director of climate modeling at the Allen Institute for Artificial Intelligence, or AI2, explores the technology’s potential to enhance climate modeling with AI Podcast host Noah Kravitz in an episode recorded live at the NVIDIA GTC global AI conference. Bretherton explains how machine learning helps overcome the limitations of traditional climate models and underscores the role of localized predictions in empowering communities to prepare for climate-related risks. Through ongoing research and collaboration, Bretherton and his team aim to improve climate modeling and enable society to better mitigate and adapt to the impacts of climate change.

Couldn't load the audio. A blocker may be stopping the show's tracking links. Open the file