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AI to the rescue: how to enhance disaster early warnings with tech tools

Name: AI to the rescue: how to enhance disaster early warnings with tech tools
Keywords: Policy, Sustainability, Climate change

descriptionPublicationkeyboard_double_arrow_right Article , Other literature type 01 Oct 2024Embargo end date: 14 Nov 2024Publisher:Springer Science and Business Media LLCJournal:Nature, volume 634, pages 27-29 (issn: 0028-0836, eissn: 1476-4687,

Authors: Monique M. Kuglitsch; Jon Cox; Jürg Luterbacher; Bilel Jamoussi; Elena Xoplaki; Muralee Thummarukudy; Golestan Sally Radwan; +5 Authors

doi: 10.1038/d41586-024-03149-z , 10.13016/m2qwce-h4of

AI to the rescue: how to enhance disaster early warnings with tech tools

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Abstract

Artificial intelligence can help to reduce the impacts of natural hazards, but robust international standards are needed to ensure best practice.

Keywords

Policy, Sustainability, Climate change

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	4
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	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average

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