Artificial intelligence for modeling and understanding extreme weather and climate events

In recent years, artificial intelligence (AI) has deeply impacted various fields, including Earth system sciences, by improving weather forecasting, model emulation, parameter estimation, and the prediction of extreme events. The latter comes with specific challenges, such as developing accurate pre...

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Veröffentlicht in:	Nature communications Jg. 16; H. 1; S. 1919 - 14
Hauptverfasser:	Camps-Valls, Gustau, Fernández-Torres, Miguel-Ángel, Cohrs, Kai-Hendrik, Höhl, Adrian, Castelletti, Andrea, Pacal, Aytac, Robin, Claire, Martinuzzi, Francesco, Papoutsis, Ioannis, Prapas, Ioannis, Pérez-Aracil, Jorge, Weigel, Katja, Gonzalez-Calabuig, Maria, Reichstein, Markus, Rabel, Martin, Giuliani, Matteo, Mahecha, Miguel D., Popescu, Oana-Iuliana, Pellicer-Valero, Oscar J., Ouala, Said, Salcedo-Sanz, Sancho, Sippel, Sebastian, Kondylatos, Spyros, Happé, Tamara, Williams, Tristan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London Nature Publishing Group UK 24.02.2025 Nature Publishing Group Nature Portfolio
Schlagworte:	704/106 704/4111 Annotations Artificial intelligence Disaster management Disasters Drought Emergency preparedness Extreme weather Floods Heat waves Humanities and Social Sciences multidisciplinary Parameter estimation Real time Review Review Article Risk management Risk reduction Science Science (multidisciplinary) Time integration Trustworthiness Weather Weather forecasting Wildfires
ISSN:	2041-1723, 2041-1723
Online-Zugang:	Volltext
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