Forecasting the Future: AI2’s Christopher Bretherton Discusses Using Machine Learning for Climate Modeling

by Kristen Yee

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.

Stay tuned for more episodes recorded live from GTC, and watch the replay of Bretherton’s GTC session on using machine learning for climate modeling.

Time Stamps

2:03: What is climate modeling and how can it prepare us for climate change?

5:28: How can machine learning help enhance climate modeling?

7:21: What were the limitations of traditional climate models?

10:24: How does a climate model work?

12:11: What information can you get from a climate model?

13:26: What are the current climate models telling us about the future?

15:56: How does machine learning help enable localized climate modeling?

18:39: What, if anything, can individuals or small communities do to prepare for what climate change has in store for us?

25:59: How do you measure the accuracy or performance of an emulator that’s doing something like climate modeling out into the future?

You Might Also Like…

ITIF’s Daniel Castro on Energy-Efficient AI and Climate Change – Ep. 215

AI-driven change is in the air, as are concerns about the technology’s environmental impact. In this episode of NVIDIA’s AI Podcast, Daniel Castro, vice president of the Information Technology and Innovation Foundation and director of its Center for Data Innovation, speaks with host Noah Kravitz about the motivation behind his AI energy use report, which addresses misconceptions about the technology’s energy consumption.

DigitalPath’s Ethan Higgins on Using AI to Fight Wildfires – Ep. 211

DigitalPath is igniting change in the golden state — using computer vision, generative adversarial networks and a network of thousands of cameras to detect signs of fire in real-time. In the latest episode of NVIDIA’s AI Podcast, host Noah Kravtiz spoke with DigitalPath system architect Ethan Higgins about the company’s role in the ALERTCalifornia initiative, a collaboration between California’s wildfire fighting agency CAL FIRE and the University of California, San Diego.

Anima Anandkumar on Using Generative AI to Tackle Global Challenges – Ep. 203

Generative AI-based models can not only learn and understand natural languages — they can learn the very language of nature itself, presenting new possibilities for scientific research. On the latest episode of NVIDIA’s AI Podcast, host Noah Kravitz spoke with Anandkumar on generative AI’s potential to make splashes in the scientific community.

How Alex Fielding and Privateer Space Are Taking on Space Debris – Ep. 196

In this episode of the NVIDIA AI Podcast, host Noah Kravitz dives into an illuminating conversation with Alex Fielding, co-founder and CEO of Privateer Space. Privateer Space, Fielding’s latest venture, aims to address one of the most daunting challenges facing our world today: space debris.

Subscribe to the AI Podcast

Get the AI Podcast through iTunes, Google Podcasts, Google Play, Amazon Music, Castbox, DoggCatcher, Overcast, PlayerFM, Pocket Casts, Podbay, PodBean, PodCruncher, PodKicker, Soundcloud, Spotify, Stitcher and TuneIn.

Make the AI Podcast better: Have a few minutes to spare? Fill out this listener survey.