## 5 Discussion and Conclusions
Here, we considered results from a single high-resolution ocean model, but, in principle, it would be useful to have more simulations (ensemble runs), eventually with coupled regional models, which would allow for a self-consistent description of the interactions between the atmosphere and the ocean (e.g., [PERSON] et al., 2024 [129]). Recent developments of a new high-resolution regional climate model for the Mediterranean region (MESMAR; [130]) are improving the already available coupled climate tools over the Mediterranean region. Moreover, one has to carefully consider the improvements in the models and in the parameterizations that will be available in the near future, as well as the progress in the discussions concerning some crucial points which are still debated, such as the possibility of a future change of regime in global ice melting ([PERSON] et al., 2017 [131] and references therein). The new product described in this work could be of help in capitalizing the efforts that the scientific and European communities are making to improve and share platforms of environmental data and information. The improved platforms will be part of an increasingly reliable methodology that we hope will become a climate service capable of assessing the future impacts of climate change and plan appropriate prevention and adaptation strategies [49; 50; 76; 132]. The implemented approach is ready to be tested in other regions bordering the Mediterranean Sea. We are currently implementing a specific tool for the assessment of damages due to flooding for critical infrastructures (CIs; [128; 133]) and agriculture [134]. In general, we can conclude that coastal geomorphology is strongly influenced both by SLR and ground motion due to geological factors such as tectonics, volcanic activities, sediment input, and subsidence. The variability of some of these factors, such as subsidence, can also be influenced by human activities, and can occur on different time scales. In fact, there are areas in which subsidence is happening more rapidly than SLR, and its impact is not fully appreciated on a global scale. The most advanced satellite-derived product for characterizing the coastal environment can provide a first level of guidance to concentrate more detailed investigations on hot spots and, hopefully, reveal how the higher resolution of data and the different geological components may influence the results. Conceptualization and Writing--Original Draft: S.C. and G.R. ; Methodology: S.C., A.C., R.I., L.M., M.P., G.R. and G.S. ; Formal Analysis and Investigation: S.C., A.C., R.I., L.M., M.P. and G.R. ; Visualization: S.C., L.M. and G.R. ; Funding Acquisition: R.I. and G.S. ; Writing--Review and Editing: S.C., A.C., R.I., L.M., M.P., G.R., F.A. and G.S. ; Supervision: S.C. and G.S. All authors have read and agreed to the published version of the manuscript. This study was carried out within the CoCliCo (Coastal Climate Core Service) research project which received funding from the European Union's Horizon 2020 Research and Innovation Programme under grant agreement No. 101003598. List of input datasets, considered in the implementation of inundation scenarios, are listed in Table 2. Dataset generated during the present study are not yet available on line. The corresponding author will provide further informations. Special thanks is addressed to [PERSON] (ENEA) for his interest and advices. The authors declare no conflicts of interest.