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In the coming decades, the global coasts will be exposed to increasing risks due to climate change and sea-level rise. By forcing GTSM with output from global climate models (GCMs), we can simulate how sea levels may change under future scenarios. This was done using GTSMv2.0 in combination with a CMIP5 climate model ensemble by Vousdoukas et al. (2019). GTSMv3.0 was used to produce the called Coastal Dataset for Evaluation of Climate impact (CoDEC). This dataset contains timeseries and return periods for a single CMIP5 model with refinement for Europe (Muis et al., 2020). More recently, we used GTSMv3.0 to produce a global dataset of extreme sea level based on HighresMip (High Resolution Model Intercomparison Project) multi climate model ensemble and sea level rise under RCP8.5 scenario. Various statistics such as percentiles and return periods are computed. These indicators help to characterize water level in present-day conditions, but also assess changes under climate change. This dataset (including the time series and statistical indicators) is openly available in the Copernicus Climate Datastore (CDS). As GTSM is a self-contained model, without data assimilation and boundary conditions, the model is also very suitable to be used to study the effects of changes in tides in response to sea-level rise.
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