16 citations as recorded by crossref.

1. Assessing the coastal hazard of Medicane Ianos through ensemble modelling C. Ferrarin et al. https://doi.org/10.5194/nhess-23-2273-2023
2. An SWE-FEM Model with Application to Resonant Periods and Tide Components in the Western Mediterranean Sea Region K. Belibassakis & V. Rey https://doi.org/10.3390/jmse13071286
3. Sea level variability and modeling in the Gulf of Guinea using supervised machine learning A. Ayinde et al. https://doi.org/10.1038/s41598-023-48624-1
4. Assessing basin scale modelling for projecting storm surge extremes under climate change scenarios in northwest Ireland T. Ahmed et al. https://doi.org/10.1016/j.ocemod.2025.102660
5. A wavelet‐based method for the assessment of hydrodynamic model behavior against observed sea level variability A. Twelves et al. https://doi.org/10.1002/lom3.70102
6. Impact of assimilated observations on the Corsica Channel transport in a 4D-Var system for the northwestern Mediterranean Sea M. Bendoni et al. https://doi.org/10.5194/os-22-281-2026
7. Model framework for storm surge forecasting in Venice Lagoon: what-if scenario with movable barriers M. Boetti et al. https://doi.org/10.3389/fmars.2026.1771571
8. An integrated modeling framework for riverine macroplastic emissions, transport, and accumulation across the land-sea continuum A. Aalifar et al. https://doi.org/10.1016/j.marpolbul.2026.120182
9. HIDRA3: a deep-learning model for multipoint ensemble sea level forecasting in the presence of tide gauge sensor failures M. Rus et al. https://doi.org/10.5194/gmd-18-605-2025
10. Catalogue of extreme sea levels recorded at tide-gauge station Bakar in the northeastern Adriatic Sea (Mediterranean) I. Međugorac et al. https://doi.org/10.5194/os-21-2929-2025
11. The DANUBIUS-RI supersite of Po delta and North Adriatic Lagoons: a living lab on transitional environments in the Adriatic Sea F. De Pascalis et al. https://doi.org/10.1016/j.ecss.2025.109453
12. HIDRA-D: deep-learning model for dense sea level forecasting using sparse altimetry and tide gauge data M. Rus et al. https://doi.org/10.5194/gmd-19-2177-2026
13. Interannual sea level variability in the North and Baltic seas and net flux through the Danish straits N. Pham et al. https://doi.org/10.1007/s10236-024-01626-7
14. Near‐resonant excitation of the Adriatic barotropic modes: The seiche events of December 2019 M. Bajo et al. https://doi.org/10.1002/qj.70164
15. Application of the HIDRA2 deep-learning model for sea level forecasting along the Estonian coast of the Baltic Sea A. Barzandeh et al. https://doi.org/10.5194/os-21-1315-2025
16. Numerical models for monitoring and forecasting sea level: a short description of present status A. Melet et al. https://doi.org/10.5194/sp-5-opsr-11-2025