DeepMind AI weather forecaster beats world-class system

Alix Soliman

Nature, 2024, vol. 636, issue 8042, 282-283

Abstract: Artificial-intelligence model provides forecasts 15 days out, as well as the probability of accuracy. And it does so faster than the best operational model.

Keywords: Machine learning; Computer science; Climate sciences (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.nature.com/articles/d41586-024-03957-3 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nat:nature:v:636:y:2024:i:8042:d:10.1038_d41586-024-03957-3

Ordering information: This journal article can be ordered from
https://www.nature.com/

DOI: 10.1038/d41586-024-03957-3

Access Statistics for this article

Nature is currently edited by Magdalena Skipper

More articles in Nature from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().