Cargando…
Generation of a global synthetic tropical cyclone hazard dataset using STORM
Over the past few decades, the world has seen substantial tropical cyclone (TC) damages, with the 2017 Hurricanes Harvey, Irma and Maria entering the top-5 costliest Atlantic hurricanes ever. Calculating TC risk at a global scale, however, has proven difficult given the limited temporal and spatial...
Autores principales: | Bloemendaal, Nadia, Haigh, Ivan D., de Moel, Hans, Muis, Sanne, Haarsma, Reindert J., 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/PMC7005259/ https://www.ncbi.nlm.nih.gov/pubmed/32029746 http://dx.doi.org/10.1038/s41597-020-0381-2 |
Ejemplares similares
-
Estimation of global tropical cyclone wind speed probabilities using the STORM dataset
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) -
A Mediterranean coastal database for assessing the impacts of sea-level rise and associated hazards
por: Wolff, Claudia, et al.
Publicado: (2018) -
Tropical cyclone simulations over Bangladesh at convection permitting 4.4 km & 1.5 km resolution
por: Steptoe, Hamish, et al.
Publicado: (2021) -
Characterizing storm-induced coastal change hazards along the United States West Coast
por: Shope, James B., et al.
Publicado: (2022)