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Dataset

Type

Description

Data availability


Reference

GLOSSIS

Forecasts

10-day forecasts of tides and storm surge with GTSMv4.1 Updated 4 times per day using GFS winds as forcing

Data is available through the Blue Earth data portal. See also GLOSSIS

Verlaan et al. (2015)

GTSR

Reanalysis, timeseries and return periods

Reanalysis based on GSTMv2.0 forced with ERA-Interim for storm surges and FES2012 for tides. Timeseries from 1979 to 2014 and return periods

Global daily maxima and return periods are openly available at: https://doi.org/10.4121/uuid:b6dd86f4-b182-4ad8-9bbd-e757bb8bd3c0

Muis et al. (2016)

CoDEC

Reanalysis and climate projections, timeseries and statistics

Reanalysis based on ERA5 and climate projections for a single CMIP5 model (CORDEX for Europe) using GTSMv3.0

European dataset is available at the C3S Climate Data Store: https://doi.org/10.24381/cds.b6473cc1 for indicators, and https://doi.org/10.24381/cds.8c59054f for timeseries. Global return periods are available at Zenodo: https://doi.org/10.5281/zenodo.3660927

Muis et al. (2020)

GTSMip

Reanalysis and climate projections, timeseries and statistics

Climate change projections based on HighResMIP using GTSMv3.0 and including annually updated sea-level rise

Global data are available at the C3S Climate Data Store. Timeserieshttps://cds-dev.copernicus-climate.eu/cdsapp#!/dataset/sis-water-level-change-cmip6-indicators?tab=overviewdoi.org/10.24381/cds.a6d42d60. Indicators: https://doi.org/10.24381/cds.6edf04e0

Muis et al (In prep.)

COAST-RP 

Reanalysis and synthetic tropical cyclones, return periods

An extension of the CoDEC dataset with return levels of total water levels based on combining the ERA5 reanalysis with the STORM dataset with synthetic tropical cyclones using GTSMv3.0

Global data are available at 4TU Data Centre: https://doi.org/10.4121/13392314.v1


Dullaart et al. (2021)

Nodal tide

Nodal 18.6 year long period tide

Analysis with GTSMv4.0 of how the nodal tide (the 18.6-year cycle) affect the mean sea level and the tidal range. For accurate assessment of the local sea-level rise trend.

Nodal tide on github and the preliminary dataset is available at https://doi.org/10.5281/zenodo.5113735


N/A

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