Sea Level Prediction

Accurate sea level information and forecasting are essential for a wide range of activities in river estuaries, coastal zones, and offshore waters. These activities include port operations, maritime navigation, marine aquaculture, coastal fish farming, beach tourism, salt production, offshore platform operations, and many other marine industries. Continuous monitoring and reliable prediction of future sea level conditions are critical for operational planning and risk management. Inaccurate planning related to sea level changes can result in serious consequences, including vessel groundings, navigation accidents, operational disruptions, infrastructure damage, and significant financial losses.

Sea level variations differ from one location to another due to the combined influence of the primary astronomical tidal forces generated by the Sun, Moon, and Earth, as well as local environmental factors such as bathymetry, coastal morphology, river discharge, atmospheric pressure, and other meteorological and oceanographic processes. Consequently, the amplitude and phase of tidal cycles vary among coastal regions, reflecting the unique combination of tidal forcing and local hydrodynamic characteristics.

Advanced numerical modeling provides a fast, accurate, and reliable approach for routine sea level forecasting and monitoring, enabling stakeholders to optimize operational planning and improve decision-making in marine and coastal environments. Forecasting systems are developed using two complementary approaches: (1) direct prediction of sea level at specific monitoring locations and (2) hydrodynamic simulations that calculate spatial and temporal variations in sea level across the entire study area based on governing physical processes.

Hydrodynamic Modeling is used to predict sea level variations associated with tides, winds, river inflows, and other hydrodynamic processes. Marine Geographic Information System (Marine GIS) integrates model outputs with environmental, operational, and spatial information into a unified decision-support platform. Forecasts and monitoring results can be distributed through local networks or web-based platforms, providing users with timely access to operational information.