Improved Bathymetric Prediction using Geological Information: SYNBATH

Abstract

Bathymetry is foundational data, providing basic infrastructure for scientific, economic, educational, military, and political work. High resolution, deep ocean bathymetry is critical for: (a) understanding the geologic processes responsible for creating ocean floor features unexplained by simple plate tectonics, such as abyssal hills, seamounts, microplates, propagating rifts, and intraplate deformation; (b) determining the effects of bathymetry and seafloor roughness on ocean circulation, ocean mixing, and climate; and (c) understanding how marine life is influenced by seafloor depth, roughness, and interactions of currents with the seafloor (Yesson et al., 2011). The Seabed 2030 project (https://seabed2030.org) "aims to bring together all available bathymetric data to produce the definitive map of the world ocean floor by 2030 and make it available to all." The Seabed 2030 global

A regional digital bathymetric model fusion method based on topographic slope: A case study of the south China sea and surrounding waters

“…The resolution of SRTM30_PLUS is 30″, and its ocean water depth is obtained by inversion of CryoSat-2 and Jason-1 gravity models, and the ratio of gravity to topography is corrected by 298 million sounding data [ 14 ]. Based on the newly measured data, SYNBATH_V1.0 uses the amplitude of vertical gravity gradient to estimate the mass of seamounts and predict the more realistic shape of seamounts [ 3 ], which solves the problem that the seamount height predicted by gravity is smoothed and underestimated. ETOPO_2022 is a global relief model with 15″ resolution seamlessly integrating topographic and bathymetry data.…”

“…Bathymetric data are important basic geospatial information, and the accurate and efficient acquisition of shallow bathymetric data is the goal of marine surveying and mapping [ 2 ]. So far, only about 20% of the seafloor has been surveyed by ships with a spatial resolution of 400 m or higher, and the remaining 80% was predicted at a low resolution by satellite gravity [ 3 ].…”

“…With the continuous refinement and improvement of ship-measured bathymetric data and marine gravity information, many countries and organizations have developed global open digital bathymetric models (DBMs) products through data fusion [ [3] , [4] , [5] , [6] ]. In 1983, Dixon and Parke (1983) in their study verified a strong correlation found between gravity anomaly and seafloor topography within a certain band [ 7 ].…”

An Adaptive Nonlinear Iterative Method for Predicting Seafloor Topography From Altimetry‐Derived Gravity Data

“…The sensitivity matrix is simplified to the diagonal matrix of the Bouguer plate approximation (Silva et al., 2014; Uieda & Barbosa, 2017), this simplification cannot work for VGG. More and more studies have pointed out the superiority of VGG inversion for ST (Sandwell et al., 2022; Wan et al., 2019; Y. M. Wang, 2000; Yang et al., 2018). Extending the ANI method to VGG will be our future research.…”

“…(2019) and Sandwell et al. (2022). In addition, it is important to note that the observed GA not only contains the topographic effect but also the nontopographic effect , for example, the variations of crustal thickness and sedimentary basins (Jordan et al., 2020; Yang et al., 2020).…”