## 5 Conclusions
The Catania coastal plain: expected flooding in 2050 and 2100 for RCP 2.6 projections. Maps S3. The Catania coastal plain: expected flooding in 2050 and 2100 for RCP 8.5 projections. Maps S4. The bay of Augusta: expected flooding in 2050 and 2100 for RCP 2.6 projections. Maps S5. The bay of Augusta: expected flooding in 2050 and 2100 for RCP 8.5 projections. Maps S6. The bay of Siracusa: expected flooding in 2050 and 2100 for RCP 2.6 projections. Maps S7. The bay of Siracusa: expected flooding in 2050 and 2100 for RCP 8.5 projections. Maps S8. The coast of Marzamemi: expected flooding in 2050 and 2100 for RCP 2.6 projections. Maps S9. The coast of Marzamemi: expected flooding in 2050 and 2100 for RCP 8.5 projections. Maps S10. The Asinaro river mouth: expected flooding in 2050 and 2100 for RCP 2.6 projections. Maps S11. The Asinaro river mouth: expected flooding in 2050 and 2100 for RCP 8.5 projections. Maps S12. The bay of Vendicari: expected flooding in 2050 and 2100 for RCP 2.6 projections. Maps S13. The bay of Vendicari: expected flooding in 2050 and 2100 for RCP 8.5 projections. Conceptualization, M.A., [PERSON]; methodology, M.A., G.S. ([PERSON]), C.B., C.T., E.S., V.D.S., A.V. ; software, M.A., G.S. ([PERSON]), C.B., C.T., E.S., A.V., V.D.S. ; validation, M.A., G.S. ([PERSON]), C.M., M.M., G.M. ; formal analysis, A.V. ; C.M., G.M. ; investigation, M.A., G.S. ([PERSON]); resources, M.A., G.S. ([PERSON]), G.M. ; data curation, G.S. ([PERSON]), G.S. ([PERSON]), C.T., C.B., E.S., A.V. ; writing--original draft preparation, M.A., G.S. ([PERSON]); writing--review and editing, M.A., G.S. ([PERSON]), ([PERSON]); visualization, A.P., M.M., G.M. ; supervision, M.A., G.S. ([PERSON]), G.M. ; project administration, M.A., G.S. ([PERSON]), G.M. ; funding acquisition, M.A., G.M. All authors have read and agreed to the published version of the manuscript. Please add: This research was partially funded by (i) Progetto Pianeta Dinamico, Task A2-2020 under the umbrella of MIUR 2020-2030 program; (ii) savemedcoasts (Agreement number ECHO/SUB/2016/742473/PREV16) and savemedcoasts-2 (Project number 874398) EU Projects (www.savemedcoasts.eu; www.savemedcoasts2.eu, accessed on 10 January 2021); (iii) I-STORMS Project from DISTEGED--UNIBA and Regione Puglia Civil Protection (resp. [PERSON]); (iv) the Italian ministry of University and Research (MIUR), grant number INGV 1020.010 law 145/2018, \"Fondo finalizzao di almica degli investimenti delle amministrazioni centrali dello Stato e allo sviluppo del Paese\". **Data Availability Statement**: Copernicus Sentinel-I IW SAR data were provided via and processed in ESA's Geohazards Thematic Exploitation Platform (Geohazards TEP, or GEP), in the framework of the GEP Early Adopters Programme and the Geohazards Lab initiative, the latter developed under the CEOS Working Group on Disasters. SAR data processing was carried out using the P-SBAS on-demand service developed and integrated by CNR-IREA in GEP. Post-processing and analysis were carried out with ESRI ArcGIS Desktop v.10.5.0, licensed to INGV. LiDAR data were provided by WMS service of Regione Sicilia. GNSS data are retrieved, processed and archived by the INGV Geodetic analysis data center. Tide gauge data for the sea-level station of Catania are freely available at www.mareografico.it (accessed on 21 January 2021). **Acknowledgments:** We are thankful to the [PERSON] who supported this study through the project Pianeta Dinamico (managed by [PERSON] and [PERSON]). This research benefited from the methodology developed in SAVEMEDCOASTS and SAVEMEDCOASTS2 projects, both funded by the EU under the umbrella of the DGECHO. **Conflicts of Interest**: The authors declare no conflict of interest.