Data underlying the study 'Sensitivity of Global Storm Surge Modelling to Sea Surface Drag'

DOI:10.4121/923c1f55-01f7-4140-b9ce-ab3be5a617c7.v1
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DOI: 10.4121/923c1f55-01f7-4140-b9ce-ab3be5a617c7

Datacite citation style

Özkan, Feyza Nur; Verlaan, Martin; Muis, Sanne; Zijl, Firmijn (2025): Data underlying the study 'Sensitivity of Global Storm Surge Modelling to Sea Surface Drag'. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/923c1f55-01f7-4140-b9ce-ab3be5a617c7.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

This dataset accompanies the study “Sensitivity of Global Storm Surge Modelling to Sea Surface Drag” and contains modeled coastal water level data from the Global Tide and Surge Model (GTSM). It includes outputs from four different wind drag parameterization experiments (IFS, CAD, NST, FIX) for two historical storm events — Hurricane Fiona (2022) and Storm Xaver (2013) — as well as global annual maximum surge statistics from 2006 to 2015. All files are in NetCDF format and provide tide, surge, and total water levels. Observational data used in the study are not included.

History

  • 2025-07-28 first online, published, posted

Publisher

4TU.ResearchData

Format

Netcdf datasets (*.nc), textfile (*.txt)

Funding

  • NWO - Dutch Polar Program DP4C (grant code ALWPP.2019.003) Netherlands Organisation for Scientific Research (NWO)

Organizations

TU Delft, Faculty of Electrical Engineering, Mathematics and Computer Science, Delft Institute of Applied Mathematics

DATA

Files (13)