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Bathymetry Model in the Northwestern Pacific Ocean Predicted from Satellite Altimetric Vertical Gravity Gradient Anomalies and Ship-Board Depths

2021/06/24 by Minzhang Hu, Taoyong Jin, Weiping Jiang +3
Earth and Planetary Sciences · #Altimeter #Bathymetry #Geodesy #Geology #Geophysics and Gravity Measurements #Gravitational field #Gravity anomaly #Gravity of Earth #Ocean Waves and Remote Sensing #Oceanographic and Atmospheric Processes #Oceanography #Remote sensing #Satellite #Wavelength

paper · doi:10.1080/01490419.2021.1943576

openalex publication_date 2021/06/24 · crossref created 2021/06/24 · crossref issued 2021/06/30 · crossref published 2021/06/30 · crossref published-online 2021/06/30 · crossref deposited 2021/12/27 · crossref published-print 2022/01/02 · openalex created_date 2025/10/10 · crossref indexed 2026/07/30 · openalex updated_date 2026/07/31

Abstract

New bathymetry models in the northwestern Pacific Ocean are presented at 1 arc-minute and 15 arc-second resolution. The latest version of the altimetric vertical gravity gradient (VGG) anomalies from Scripps Institute of Oceanography, ∼7 million single-beam depths from the National Centers for Environmental Information, and ∼80 GB of multibeam grids from the Japan Agency for Marine-Earth Science and Technology are used. The ship-board depths are used to constrain bathymetry at wavelengths longer than 200 km, and calibrate the local topography to VGG ratio at 15–200 km wavelength bands. The VGG is used to predict bathymetry at 15 ∼ 200 km wavelength bands. The spectrum analysis results show that the 1 arc-minute model has more power than models predicted from gravity anomalies at wavelengths shorter than 100 km. The standard deviation of differences between the 1 arc-minute model and ship-board depths is 44.76 m, and it is 102.842 m comparing to the SIO topo20.1.nc model. The accuracy of the new 1 arc-minute model has been improved significantly from our last bathymetry model, BATVGG, and has a better accuracy than that of the DTU18, GEBCO08, and ETOPO1 models. The accuracy of the 15 arc-second model is consistent with that of SRTM + V2.1 and GEBCO2020.

Citations