How AI is improving climate forecasts

Carissa Wong

Nature, 2024, vol. 628, issue 8009, 710-712

Abstract: Researchers are using various machine-learning strategies to speed up climate modelling, reduce its energy costs and hopefully improve accuracy.

Keywords: Climate change; Climate sciences; Machine learning; Technology (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.nature.com/articles/d41586-024-00780-8 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:628:y:2024:i:8009:d:10.1038_d41586-024-00780-8

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

DOI: 10.1038/d41586-024-00780-8

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 ().