AI to the rescue: how to enhance disaster early warnings with tech tools
dc.contributor.author | Kuglitsch, Monique M. | |
dc.contributor.author | Cox, Jon | |
dc.contributor.author | Luterbacher, Jürg | |
dc.contributor.author | Jamoussi, Bilel | |
dc.contributor.author | Xoplaki, Elena | |
dc.contributor.author | Thummarukudy, Muralee | |
dc.contributor.author | Radwan, Golestan Sally | |
dc.contributor.author | Yasukawa, Soichiro | |
dc.contributor.author | McClain, Shanna N. | |
dc.contributor.author | Albayrak, Arif | |
dc.contributor.author | Oehmen, David | |
dc.contributor.author | Ward, Thomas | |
dc.date.accessioned | 2024-11-14T15:18:34Z | |
dc.date.available | 2024-11-14T15:18:34Z | |
dc.date.issued | 2024-10-01 | |
dc.description.abstract | Artificial intelligence can help to reduce the impacts of natural hazards, but robust international standards are needed to ensure best practice. | |
dc.description.uri | https://www.nature.com/articles/d41586-024-03149-z | |
dc.format.extent | 3 pages | |
dc.genre | journal articles | |
dc.identifier | doi:10.13016/m2qwce-h4of | |
dc.identifier.citation | Kuglitsch, Monique M., Jon Cox, Jürg Luterbacher, Bilel Jamoussi, Elena Xoplaki, Muralee Thummarukudy, Golestan Sally Radwan, et al. “AI to the Rescue: How to Enhance Disaster Early Warnings with Tech Tools.” Nature 634, no. 8032 (October 2024): 27–29. https://doi.org/10.1038/d41586-024-03149-z. | |
dc.identifier.uri | https://doi.org/10.1038/d41586-024-03149-z | |
dc.identifier.uri | http://hdl.handle.net/11603/36936 | |
dc.language.iso | en_US | |
dc.publisher | Nature | |
dc.relation.isAvailableAt | The University of Maryland, Baltimore County (UMBC) | |
dc.relation.ispartof | UMBC Faculty Collection | |
dc.relation.ispartof | UMBC GESTAR II | |
dc.rights | This work was written as part of one of the author's official duties as an Employee of the United States Government and is therefore a work of the United States Government. In accordance with 17 U.S.C. 105, no copyright protection is available for such works under U.S. Law. | |
dc.rights | Public Domain | |
dc.rights.uri | https://creativecommons.org/publicdomain/mark/1.0/ | |
dc.subject | Sustainability | |
dc.subject | Policy | |
dc.subject | Climate change | |
dc.title | AI to the rescue: how to enhance disaster early warnings with tech tools | |
dc.type | Text | |
dcterms.creator | https://orcid.org/0000-0001-6060-9844 |
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