Autor: |
Simona Meiler, Thomas Vogt, Nadia Bloemendaal, Alessio Ciullo, Chia-Ying Lee, Suzana J. Camargo, Kerry Emanuel, David N. Bresch |
Jazyk: |
angličtina |
Rok vydání: |
2022 |
Předmět: |
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Zdroj: |
Nature Communications, Vol 13, Iss 1, Pp 1-12 (2022) |
Druh dokumentu: |
article |
ISSN: |
2041-1723 |
DOI: |
10.1038/s41467-022-33918-1 |
Popis: |
Various synthetic tropical cyclone datasets exist for risk assessment purposes. Here, the authors conduct a global dataset comparison to assess their suitability and applicability in answering different impact-related questions. |
Databáze: |
Directory of Open Access Journals |
Externí odkaz: |
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