Cargando…
Estimation of global tropical cyclone wind speed probabilities using the STORM dataset
Tropical cyclones (TC) are one of the deadliest and costliest natural disasters. To mitigate the impact of such disasters, it is essential to know extreme exceedance probabilities, also known as return periods, of TC hazards. In this paper, we demonstrate the use of the STORM dataset, containing syn...
Autores principales: | Bloemendaal, Nadia, de Moel, Hans, Muis, Sanne, Haigh, Ivan D., Aerts, Jeroen C. J. H. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7655860/ https://www.ncbi.nlm.nih.gov/pubmed/33173043 http://dx.doi.org/10.1038/s41597-020-00720-x |
Ejemplares similares
-
Generation of a global synthetic tropical cyclone hazard dataset using STORM
por: Bloemendaal, Nadia, et al.
Publicado: (2020) -
A globally consistent local-scale assessment of future tropical cyclone risk
por: Bloemendaal, Nadia, et al.
Publicado: (2022) -
Using historical tropical cyclone climate datasets to examine wind speed recurrence for coastal Australia
por: Bell, S. S., et al.
Publicado: (2022) -
Dataset of outer tropical cyclone size from a radial wind profile
por: Pérez-Alarcón, Albenis, et al.
Publicado: (2022) -
Physical understanding of the tropical cyclone wind-pressure relationship
por: Chavas, Daniel R., et al.
Publicado: (2017)