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

by Luterbacher, Jürg , Oehmen, David , Ward, Thomas , Thummarukudy, Muralee , Kuglitsch, Monique M. , Xoplaki, Elena , Yasukawa, Soichiro , Cox, Jon , Albayrak, Rustem Arif , Jamoussi, Bilel , Radwan, Golestan Sally , McClain, Shanna N.

in 704/106/694 / 704/844/685 / 706/648/453 / Artificial Intelligence - standards / Comment / Disaster Planning - methods / Disaster Planning - standards / Humanities and Social Sciences / Humans / multidisciplinary / Natural Disasters - mortality / Natural Disasters - prevention & control / Rescue Work - methods / Rescue Work - standards / Science

2024

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2024

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2024

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Journal Article

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

Luterbacher, Jürg,

Oehmen, David,

Ward, Thomas,

Thummarukudy, Muralee,

Kuglitsch, Monique M.,

Xoplaki, Elena,

Yasukawa, Soichiro,

Cox, Jon,

Albayrak, Rustem Arif,

Jamoussi, Bilel,

Radwan, Golestan Sally,

McClain, Shanna N.

2024

Overview

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

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Publisher

Nature Publishing Group UK

Subject

704/106/694

/ 704/844/685

/ 706/648/453

/ Artificial Intelligence - standards

/ Comment

/ Disaster Planning - methods

/ Disaster Planning - standards