Bloemendaal, Nadia; de Moel, H. (Hans); Muis, S; Haigh, I.D. (Ivan); Aerts, J.C.J.H. (Jeroen) (2020): STORM tropical cyclone wind speed return periods. Version 2. 4TU.ResearchData. dataset. https://doi.org/10.4121/uuid:779b9dfd-b0ff-4531-8833-aaa9c0cf6b5a

Version 4 - 2023-06-22 (latest) Version 3 - 2022-05-30 Version 1 - 2020-05-13

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Categories

• Natural Hazards
• Atmospheric Sciences
• Climate and Climate Change
• Atmosphere and Weather

Keywords

dissertation Natural Hazards Return Periods Risk Synthetic Modeling Synthetic Tropical Cyclone geneRation Model (STORM) Tropical Cyclone

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Licence

CC0

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• RO-Crate Metadata

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by Nadia Bloemendaal , H. (Hans) de Moel , S Muis , I.D. (Ivan) Haigh , J.C.J.H. (Jeroen) Aerts

Datasets containing tropical cyclone maximum wind speed (in m/s) return periods, generated using the STORM datasets (see https://www.nature.com/articles/s41597-020-0381-2). Return periods were empirically calculated using Weibull's plotting formula. The STORM_FIXED_RETURN_PERIOD dataset contains maximum wind speeds for a fixed set of return periods at 10 km resolution in every ocean basin. The STORM_FIXED_WIND_SPEED dataset contains return periods for a fixed set of maximum wind speeds at 10 km resolution in every ocean basin. The STORM_CITIES dataset contains return periods at fixed wind speeds and wind speeds at fixed return periods (on two seperate sheets), occurring within 100 km from a selection of 18 coastal cities. The STORM_ISLANDS contains return periods at fixed wind speeds and wind speeds at fixed return periods (on two seperate sheets), occurring within 100 km from the capital city of an island. We included the Small Island Developing States and a set of other islands.

History

• 2020-05-13 first online

• 2020-09-30 published, posted

Publisher

4TU.Centre for Research Data

Format

media types: application/vnd.google-earth.kml+xml, application/vnd.openxmlformats-officedocument.spreadsheetml.sheet, application/x-netcdf, application/zip, text/plain

Associated peer-reviewed publication

Generation of a global synthetic tropical cyclone hazard dataset using STORM

Organizations

Deltares, Delft, The Netherlands
Royal Netherlands Meteorological Institute (KNMI), De Bilt, The Netherlands
University of Southampton, National Oceanography Centre, School of Ocean and Earth Science, European Way, Southampton, United Kingdom
Vrije Universiteit Amsterdam, Institute for Environmental Studies (IVM), Amsterdam, the Netherlands