Simulating spatial multi-hazards with generative deep learning
<p>When natural hazards coincide or spread across large areas they can create major disasters. For accurate risk analysis, it is necessary to simulate many spatially resolved hazard events that capture the relationships between extreme variables, but this has proved challenging for conventional stat...
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| Principais autores: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Copernicus Publications
2026-04-01
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| coleção: | Natural Hazards and Earth System Sciences |
| Acesso em linha: | https://nhess.copernicus.org/articles/26/1663/2026/nhess-26-1663-2026.pdf |
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