Predicting Sea Level Rise Using Artificial Intelligence: A Review

• Main Authors: Bahari N.A.A.B.S., Ahmed A.N., Chong K.L., Lai V., Huang Y.F., Koo C.H., Ng J.L., El-Shafie A.
• Other Authors: 57199323205
• Format: Review
• Published: Springer Science and Business Media B.V. 2024
• Subjects: Deep learning; Forecasting; Learning systems; Level measurement; Numerical methods; Offshore oil well production; Surface waters; Tide gages; Uncertainty analysis; Advanced modeling; Building operations; Coastal structures; Offshores; Port operations; Satellite altimetry; Sea level rise; Standard model; Technological improvements; Tide gauges; Sea level

Forecasting sea level is critical for coastal structure building and port operations. There are, however, challenges in making these predictions, resulting from the complicated processes at various periods. This study discussed the continual development of the application and forecasting approaches for sea level rise, in standard and advanced modeling versions. To date, the tide gauge and satellite altimetry are the commonly used approaches for sea level measurement. Tide gauges are mostly deficient in typical offshore circumstances