Nvidia's Earth-2 models, including 'climate in a bottle', want to change weather forecasting for everyone across the world
Date:
Thu, 19 Mar 2026 17:05:00 +0000
Description:
We hear how Nvidia's Earth-2 weather models could revolutionize the future of forecasting.
FULL STORY ======================================================================Copy link Facebook X Whatsapp Reddit Pinterest Flipboard Threads Email Share this article 0 Join the conversation Follow us Add us as a preferred source on Google Newsletter Tech Radar Get the TechRadar Newsletter Sign up for
breaking news, reviews, opinion, top tech deals, and more. Contact me with news and offers from other Future brands Receive email from us on behalf of our trusted partners or sponsors By submitting your information you agree to the Terms & Conditions and Privacy Policy and are aged 16 or over. You are
now subscribed Your newsletter sign-up was successful An account already exists for this email address, please log in. Subscribe to our newsletter Nvidia revealed new models for its Earth-2 digital twin platform in January 2026 , promising advances in training and fine-tuning AI models across a
range of use cases such as weather forecasting and climate prediction as we know it.
The models bring together high-resolution data from satellites, radar, and weather stations to provide continuous estimates of atmospheric conditions, allowing for greater accuracy and insights than ever. To find out more on these latest developments, we hit the floor at Nvidia GTC 2026. Article continues below You may like Nvidia's next-gen full Earth-2 digital twin AI models will predict and forecast the next big storm faster and more
accurately Nvidia wants to power the next generation of data centers in space "The entire stack is being changed" - Nvidia CEO Jensen Huang looks ahead to the next generation of AI Faster and more accurate The demos we saw included
a model with the ability to take a range of different weather observations from satellites, weather balloons and weather stations, bringing them all together to give a coherent depiction of the atmosphere at any given moment .
This process previously used to take hours, but can now be condensed into
just a few seconds.
Developed with NOAA (the National Oceanic and Atmospheric Administration) and MITRE, another model we saw can use these initial observations to provide a global prediction of up to 14 days, predicting wind speeds and directions, or even regional-scale weather forecasts of up to six hours on storms.
Another demo, brilliantly entitled climate in a bottle, can take 50 years of weather observations, condensed down into a couple of gigabytes, to create synthetic scenarios - simulations of weather which can be useful for government planning or financial modelling, and even estimating how solar power can be more effective. Are you a pro? Subscribe to our newsletter Sign up to the TechRadar Pro newsletter to get all the top news, opinion, features and guidance your business needs to succeed! Contact me with news and offers from other Future brands Receive email from us on behalf of our trusted partners or sponsors By submitting your information you agree to the Terms & Conditions and Privacy Policy and are aged 16 or over.
Were shown how any day in the past 50 years can be zeroed down on, in this example looking at ocean temperatures, which can then be extended with a variety of parameters, say specific weather conditions, to form a prediction of the future.
The models can all run on a single machine, in this case powered by a dual Nvidia RTX Pro 6000 - one for inference and the other for the visualizations, meaning theres no need for off-site computing.
The goal would be to get to a place where people could run thousands of these kinds of predictions, Steve Levay, product marketing manager for AI physics
at Nvidia told us, find the outlier events and then harden their infrastructure. What to read next Nvidia wants to have your cake and eat it: Jensen Huang describes the AI layered stack and hints at what world's most valuable firm will do next Powering the AI data center boom: the infrastructure upgrades behind innovation Nvidia in 2025: year in review
We also want to make all these models open source, so that people all over
the world, especially in the global South, can run these kinds of prediction operations without relying on other institutions.
We say over a traditional numerical weather prediction, which is essentially just running a big solver in the entire world, its a thousand times faster to do with AIand you can also get to better accuracy, and its faster.
Rainfall, wind speed, extreme weather events and more could all be easily anticipated and prepared for if these models prove successful, and Nvidia looks set to lead researchers to find the answers. Follow TechRadar on Google News and add us as a preferred source to get our expert news, reviews, and opinion in your feeds. Make sure to click the Follow button!
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