Gravity anomalies determined from mean sea surface model data over the Gulf of Mexico

Wei, Xuyang; Liu, Xin; Li, Zhen; Chang, Xiaotao; Luo, Hongxin; Zhu, Chengcheng; Guo, Jinyun

doi:10.1007/s13131-023-2178-6

Cited by 3 publications

(2 citation statements)

References 30 publications

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“…Additionally, multiple GEBCO models (such as GEBCO_2019, 2020GEBCO_2019, , 2022 have been released, which integrate single-beam shipborne bathymetric data, high-resolution multi-beam shipborne bathymetric data, and predicted bathymetry based on satellite altimetry data. For unexplored areas that have not been covered by bathymetric data, the marine gravity field derived from satellite altimetry data (Zhu et al, 2022;Zhou et al, 2023;Wei et al, 2023) is currently the main source for constructing high-precision and high-resolution seafloor bathymetric models, compared to alternative observation methods (Bondur and Grebenyuk, 2001;Hilldale and Raff, 2008;Yeu et al, 2018;Tozer et al, 2019;Yu et al, 2022Yu et al, , 2023Xu et al, 2023).…”

Section: Introductionmentioning

confidence: 99%

High-precision 1′ × 1′ bathymetric model of Philippine Sea inversed from marine gravity anomalies

An,

Guo,

Chang

et al. 2024

Geosci. Model Dev.

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Abstract. The Philippine Sea, located at the edge of the northwestern Pacific Ocean, possesses complex seabed topography. Developing a high-precision bathymetric model for this region is of paramount importance, as it provides fundamental geoinformation essential for Earth observation and marine scientific research, including plate motion, ocean circulation, and hydrological characteristics. The gravity–geologic method (GGM), based on marine gravity anomalies, serves as an effective bathymetric prediction technique. To further strengthen the prediction accuracy of conventional GGM, we introduce the improved GGM (IGGM). The IGGM considers the effects of regional seafloor topography by employing weighted averaging to more accurately estimate the short-wavelength gravity component, along with refining the subsequent modeling of long-wavelength gravity component. In this paper, we focus on seafloor topography modeling in the Philippine Sea based on the IGGM, combining shipborne bathymetric data with the Scripps Institution of Oceanography (SIO) V32.1 gravity anomaly. To reduce computational complexity, the optimal parameter values required for IGGM are first calculated before the overall regional calculation, and then, based on the terrain characteristics and distribution of sounding data, we selected four representative local sea areas as the research objects to construct the corresponding bathymetric models using GGM and IGGM. The analysis indicates that the precision of the IGGM models in four regions is improved to varying degrees, and the optimal calculation radius is 2′. Based on the above finding, a high-precision 1′×1′ bathymetric model of the Philippine Sea (5–35° N, 120–150° E), known as the BAT_PS model, is constructed using IGGM. Results demonstrate that the BAT_PS model exhibits a higher overall precision compared to the General Bathymetric Chart of the Oceans (GEBCO), topo_25.1, and DTU18 models at single-beam shipborne bathymetric points.

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Section: Introductionmentioning

confidence: 99%

High-precision 1′ × 1′ bathymetric model of Philippine Sea inversed from marine gravity anomalies

An,

Guo,

Chang

et al. 2024

Geosci. Model Dev.

View full text Add to dashboard Cite

show abstract

“…Additionally, multiple GEBCO models have been released, which integrate single-beam shipborne bathymetric data, high-resolution multi-beam shipborne bathymetric data, and predicted bathymetry based on satellite altimetry data. For unexplored areas that have not been covered by bathymetric data, the marine gravity field derived from satellite altimetry data (Zhu et al, 2022;Zhou et al, 2023;Wei et al, 2023) is currently the main source for constructing high-precision and high-resolution seafloor bathymetric models, as compared to other observation methods (Bondur and Grebenyuk, 2001;Smith, 2004;Hilldale and Raff, 2008;Yeu et al, 2018;Tozer et al, 2019;Yu et al, 2022;Xu et al, 2023;Yu et al, 2023).…”

Section: Introductionmentioning

confidence: 99%

High-precision 1′×1′ bathymetric model of Philippine Sea inversed from marine gravity anomalies

An,

Guo,

Chang

et al. 2023

Preprint

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Abstract. The Philippine Sea, located at the edge of the Northwest Pacific Ocean, possesses complex seabed topography. Developing a high-precision bathymetric model for this region is of paramount importance as it provides fundamental geoinformation essential for Earth observation and marine scientific research, including plate motion, ocean circulation, and hydrological characteristics. The gravity-geologic method (GGM), based on marine gravity anomalies, serves as an effective bathymetric prediction technique. To further strengthen the prediction accuracy of conventional GGM, we introduce the improved GGM (IGGM). The IGGM considers the effects of regional seafloor topography by employing weighted averaging to more accurately estimate the short-wavelength gravity component, along with refining the subsequent modeling of long-wavelength gravity component. In this paper, we focus on seafloor topography modeling in the Philippine Sea based on the IGGM, combining shipborne bathymetric data with the SIO V32.1 gravity anomaly. To reduce computational complexity, the optimal parameter values required for IGGM are first calculated before the overall regional calculation, and then, based on the terrain characteristics and distribution of sounding data, we selected four representative local sea areas as the research objects to construct the corresponding bathymetric models using GGM and IGGM. The analysis indicates that the precisions of the IGGM models in four regions are improved to varying degrees, and the optimal calculation radius is 2′. Based on the above finding, a high-precision 1'×1' bathymetric model of the Philippine Sea (5° N–35° N, 120° E–150° E), known as the BAT_PS model, is constructed using IGGM. Results demonstrate that the BAT_PS model exhibits a higher overall precision compared to GEBCO, topo_25.1, and DTU18 models at single-beam shipborne bathymetric points.

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The performance of Tiangong-2 InIRA in gravity anomaly recovery from fused conventional nadir-observing altimeter data

Wang,

Yang

et al. 2025

Advances in Space Research

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Gravity anomalies determined from mean sea surface model data over the Gulf of Mexico

Cited by 3 publications

References 30 publications

High-precision 1′ × 1′ bathymetric model of Philippine Sea inversed from marine gravity anomalies

High-precision 1′ × 1′ bathymetric model of Philippine Sea inversed from marine gravity anomalies

High-precision 1′×1′ bathymetric model of Philippine Sea inversed from marine gravity anomalies

The performance of Tiangong-2 InIRA in gravity anomaly recovery from fused conventional nadir-observing altimeter data

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