Forecasting the development dynamics of coastal systems utilizing remote sensing data

Abstract

The article addresses the task of adapting the third-generation mathematical wind-wave model, WAVEWATCH III, for constructing predictive scenarios of the Azov Sea development based on satellite imagery data. In addition to the effective utilization of remote sensing data, WAVEWATCH III enables modeling using multicellular grids, thereby reducing the temporal constraints required for forecasting hydrophysical phenomena, including hazardous and catastrophic events. Within the article, modeling of the dynamics of the coastal system of the Sea of Azov is conducted based on remote sensing data. The article presents the results of modeling the direction, period, height, and wavelength of waves in the Azov Sea. A multicellular grid with varying levels of detail of coastal zone sections was employed for modeling, contingent upon the complexity of the coastline. To generate a grid with a complex structure utilized for modeling hydrodynamic processes in the Azov Sea, an algorithm is proposed. This algorithm not only generates a refined grid near the shore at any level but also refines the grid in arbitrary areas.