Literature Review: Development of a Local Mean Sea Surface (MSS) Model for Shallow Waters Using Satellite Altimetry Data and in situ Measurements

Sea Surface Height (SSH), Sea Level Anomalies (SLA), and Mean Sea Surface (MSS) are essential parameters for comprehending sea levels, particularly in the tropical waters of Indonesia. Global MSS models frequently fall short in capturing the local dynamics influenced by phenomena such as ENSO and thunderstorms. A review of 10 studies revealed significant gaps, including the lack of tropical-specific geophysical corrections, limited utilization of high-resolution multi-sensor data, and an absence of local hydrodynamic models. To address these shortcomings, future research should prioritize the development of tropical-specific corrections, the integration of multi-sensor data, and the application of dynamic models to improve MSS accuracy and enhance the understanding of seasonal variability.