Introducing WeatherNext 3, our most advanced and accurate global weather AI model
Google has released WeatherNext 3, an artificial intelligence model designed to improve the precision of global meteorological forecasts. By leveraging higher resolution data, the system aims to provide more reliable predictions for localized weather events, specifically regarding rain and snowfall patterns. This update represents an ongoing industry shift toward using deep learning to enhance the accuracy and frequency of environmental modeling. For end users and industries relying on atmospheric data, this change offers a more granular look at evolving weather conditions.
Covered by 6 sources · 8 articles
- GGoogle DeepMind Blog↗Sep 3
- BBloomberg Technology↗Joe WertzSep 3
- TTechCrunch AI↗Tim FernholzSep 3
- MMarkTechPost↗Michal SutterSep 4
- AarXiv CS.AI↗Stephan Rasp, Boris Babenko, Dominic Masters, Andrew El-Kadi, Samier Merchant, Guy Shalev, Ilan Price, Fred Zyda, Remi Lam, Sasha Shysheya, Matthew Willson, Stratis Markou, Shreya Agrawal, Suhani Vora, Mohammed Alewi Hassen, Sunny Mak, Tom R. Andersson, Megan Bela, Akib Uddin, Nofar Peled Levi, Ben Gaiarin, Ferran Alet, Aaron Bell, Peter Battaglia, Alvaro Sanchez-GonzalezSep 4
- AarXiv CS.AI↗Julian F. Schmitt, Bertrand Delorme, Robert C. King, Yashica Patodia, Tapio Schneider, Aditi Sheshadri, Ravi JainSep 4
- AarXiv CS.AI↗Mikko Partio, Leila Hieta, Ossi LaineSep 4
- TThe Verge↗Justine CalmaSep 3