Muis, S (2019): Gumbel parameters Global Tide and Surge Reanalysis (GTSR) dataset. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/uuid:25ced1ff-e505-4e9a-881e-1a24ea38289b

Dataset

• Natural Hazards
• Oceanography
• Climate and Climate Change
• Numerical and Computational Mathematics

Extreme sea levels, Extreme value statistics, Hydrodynamic modelling, Ocean reanalysis, Storm surges, Tides

1979/2014

CC0

• Datasets of dissertation Sanne Muis

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

by S Muis

GTSR (Global Tide and Surge Reanalysis) is the first global reanalysis of storm surges and extreme sea levels based on hydrodynamic modelling. GTSR covers the entire world's coastline based on the DIVA coastline segmentation. To estimate the probabilities of extreme sea levels, we apply extreme value statistics using the annual maxima method. For each output location, we extract the annual maximum for the calendar years 1979–2014 and fit a Gumbel distribution using the maximum-likelihood method. This files provides the location and scale parameters.

• 2019-08-19 first online, published, posted

4TU.Centre for Research Data

media types: application/x-netcdf

• https://doi.org/10.1038/ncomms11969

• European Commission, eu-repo/grantAgreement/EC/H2020/603396

Deltares, Delft;
TU Delft, Faculty of Electrical Engineering, Mathematics and Computer Science, Department of Mathematical Physics;
Vrije Universiteit Amsterdam, Institute for Environmental Studies (IVM)

• Aerts, J.C.J.H. (Jeroen)
• Verlaan, M. (Martin)
• Ward, P.J. (Philip)
• Winsemius, H.C. (Hessel)