Sea level variability and modeling in the Gulf of Guinea using supervised machine learning
Akeem Shola Ayinde, Huaming Yu, Kejian Wu · 2023
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Description
Sea level in the Gulf of Guinea is rising onto low, crowded coasts, and Akeem Shola Ayinde, Huaming Yu, and Kejian Wu analyze its past behavior in a 2023 study. They track sea level anomalies from 1993 to 2020 across three decades and ask what large-scale ocean and air patterns drive the year-to-year swings.
The basin rose throughout, by eighty-eight millimeters in total, fastest in the north and quickest in the most recent decade. Seasonal and yearly patterns tied strongly to wide ocean and atmosphere systems. The team then tested supervised machine learning models for reproducing the sea level record, aiming at a system that can project what comes next. Their goal is practical: give West African coastal planners numbers they can build defenses around.
Catalog record
| CREATOR | Akeem Shola Ayinde, Huaming Yu, Kejian Wu |
|---|---|
| YEAR | 2023 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 93 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |