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Author

B. Nilsson

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Open access Aug 2026

Bathymetry Prediction With SWOT Gravity Anomaly Using Machine Learning Methods: Paper 2—Model Evaluation and Uncertainty Analysis

A global features‐of‐interest map is presented that, if mapped by ship soundings, would yield the largest improvement of the global bathymetry, primarily located in regions with sparse multibeam coverage and associated with large gravity anomalies in the marine gravity field, indicating a potential presence of complex...

B. Nilsson, B. Phrampus, F. Salajegheh et al. · 1 citation
Review Open access Aug 2026

Bathymetry Prediction With SWOT Gravity Anomaly Using Machine Learning Methods: Paper 1–Model Development

Five independent research groups are presented, each incorporating the fundamental physics of downward continuation within advanced data‐driven modeling frameworks, and each provides a substantial improvement in depth accuracy at shallow seamounts and deep trenches.

D. Sandwell, B. Phrampus, F. Salajegheh et al. · 2 citations

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