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Bathymetry Model in the Northwestern Pacific Ocean Predicted from Satellite Altimetric Vertical Gravity Gradient Anomalies and Ship-Board Depths
Marine Geodesy ( IF 1.6 ) Pub Date : 2021-06-30 , DOI: 10.1080/01490419.2021.1943576
Minzhang Hu 1, 2 , Taoyong Jin 3 , Weiping Jiang 3 , Yonghai Chu 3 , Hanjiang Wen 4 , Jiancheng Li 3
Affiliation  

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 topo_20.1.nc model. The accuracy of the new 1 arc-minute model has been improved significantly from our last bathymetry model, BAT_VGG, and has a better accuracy than that of the DTU18, GEBCO_08, and ETOPO1 models. The accuracy of the 15 arc-second model is consistent with that of SRTM + V2.1 and GEBCO_2020.



中文翻译:

卫星测高垂直重力梯度异常和舰船深度预测的西北太平洋水深模型

摘要

西北太平洋的新测深模型以 1 弧分和 15 弧秒的分辨率呈现。来自斯克里普斯海洋研究所的最新版本的高度垂直重力梯度 (VGG) 异常、来自国家环境信息中心的约 700 万单波束深度以及来自日本海洋地球科学机构的约 80 GB 多波束网格和技术被使用。船载深度用于限制波长超过 200 公里的测深,并校准 15-200 公里波段的局部地形与 VGG 的比率。VGG 用于预测 15 ∼ 200 km 波段的测深。光谱分析结果表明,1弧分模型比根据波长短于100公里处的重力异常预测的模型具有更大的功率。1弧分模型与船载深度的标准差为44.76 m,与SIO topo_20.1.nc模型相比为102.842 m。新的 1 弧分模型的精度比我们上一个测深模型 BAT_VGG 有了显着提高,并且比 DTU18、GEBCO_08 和 ETOPO1 模型具有更好的精度。15弧秒模型的精度与SRTM+V2.1和GEBCO_2020的精度一致。

更新日期:2021-06-30
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