Author

Chao Wang

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Open access Sep 2026

Heteroscedastic uncertainty quantification for GGM-inverted bathymetry: A zero-mean Laplace distribution framework

The Gravity-Geologic Method (GGM) is widely used to predict bathymetry from satellite-derived gravity anomalies, yet a robust framework for quantifying the uncertainty of its predictions is lacking. Traditional approaches often assume homoscedastic, Gaussian-distributed errors, which do not hold in complex terrains. Th...

Chao Wang, Jie-Ru Zhan, Lu Hua et al. · Computational Geosciences · 0 citations

Review Open access Aug 2026

A geospatially encoded dual-channel network with attention and physics constraints for accurate seafloor topography reconstruction

Mapping seafloor topography is of great significance for deep-sea navigation, marine resource exploration, and aquatic ecosystem conservation. Advances in bathymetric surveying technology have progressively enriched our understanding of the oceans. However, due to the high cost and low coverage of ship-based surveys, e...

Jia Hu, Yi-Feng Luo, Chao Wang et al. · Deutsche Hydrographische Zei... · 1 citation