The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/78192fcc-8702-4355-96e1-a33c40a16a49

Nederhoff, Kees; Hoek, Jasper; van Ormondt, Maarten; Caires, Sofia; Giardino, Alessio et. al. (2024): Data underlying the publication: Simulating synthetic tropical cyclone tracks for statistically reliable wind and pressure estimations. Version 2. 4TU.ResearchData. dataset. https://doi.org/10.4121/78192fcc-8702-4355-96e1-a33c40a16a49.v2

Dataset

x choose version: version 1 - 2024-01-30

• Civil Engineering
• Natural Hazards
• Atmospheric Sciences
• Earth Sciences
• Engineering
• Environment

Climate Modeling, North Atlantic Ocean, Synthetic Tracks, TCWiSE, Tropical Cyclones

CC0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Kees Nederhoff , Jasper Hoek, Maarten van Ormondt, Sofia Caires, Alessio Giardino, Tim Leijnse

This dataset comprises 10,000 years of synthetic tropical cyclone tracks, meticulously generated using the Tropical Cyclone Wind Statistical Estimation Tool (TCWiSE) algorithm, as detailed in Nederhoff et al., 2021. Focused on the North Atlantic Ocean Basin, these tracks are constructed based on historical data and designed to mirror the present-day climate conditions. The dataset offers a comprehensive and detailed simulation of tropical cyclone activity, serving as a valuable resource for climate research and analysis in the context of current climate patterns.

• 2024-01-30 first online

• 2024-05-15 published, posted

4TU.ResearchData

netCDF

Simulating synthetic tropical cyclone tracks for statistically reliable wind and pressure estimations

• https://doi.org/10.5194/nhess-21-861-2021

Deltares
TU Delft, Faculty of Civil Engineering and Geosciences, Department of Hydraulic Engineering