title: Hybrid Modelling of Extreme Storm Processes and Navigation Risks in the Azov Sea Based on Three-Dimensional Hydrodynamics and Machine Learning Methods
abstract: Introduction. Extreme storms with wind speeds exceeding 30–35 m/s pose a significant threat to navigation and coastal infrastructure in the Azov Sea. The complex bathymetry, shallow water, and coastal geometry amplify wave and surge effects, causing severe destruction. The increasing frequency of extreme weather events requires next-generation forecasting systems capable of capturing nonlinear multiscale interactions between wind, waves, and currents. Materials and Methods. A hybrid approach was
journal: COMPUTATIONAL MATHEMATICS AND INFORMATION TECHNOLOGIES