Dataset for the paper "Improving Bathymetric Inversion from Satellite Altimetry Gravity: Incorporating Sediment Effect and Long-wavelength Bathymetry"

Read full text
Authors: Luo Yifeng
Cited by: 0

Abstract

This dataset pertains to the paper titled “Improving Bathymetric Inversion from Satellite Altimetry Gravity: Incorporating Sediment Effect and Long-wavelength Bathymetry”. It consists of two main components: shipborne survey data and gravity data. Shipborne Survey Data The shipborne survey data are primarily multibeam data, sourced from the National Oceanic and Atmospheric Administration (NOAA) via the National Centers for Environmental Information (NCEI) Bathymetric Data Viewer platform. The platform can be accessed at the URL: https://www.ncei.noaa.gov/maps/bathymetry/. Gravity Data The gravity data are derived from the Scripps Institution of Oceanography (SIO). They correspond to data version 32.1, feature a grid resolution of 1’ × 1’, and were published in August 2022. The data can be accessed at the URL: https://topex.ucsd.edu/pub/global_grav_1min/. Research Regions and Data Identification In this experiment, four specific regions were investigated: 171°E–174°E, 31°N–34°N 133°E–135°E, 24°S–26°N 132°E–134°E, 30°N–32°N 142.5°E–144.5°E, 39.5°N–41.5°N Data files with the “Gravity” suffix denote gravity data, while those without this suffix represent shipborne survey data. For the gravity data: “faa” stands for Gravity anomaly “vgg” denotes Vertical gravity gradient “east” represents The east component of vertical deflection “north” signifies The north component of vertical deflection “sediment” indicates Sediment thickness “depth_long” refers to Long-wavelength depth “sGA” corresponds to Gravity anomaly induced by sediments The file named model.py contains the model implementation corresponding to the paper.

Fields of Study & Subjects

Geophysics and Gravity Measurements Underwater Acoustics Research Oceanographic and Atmospheric Processes

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
23 February 2026
Language
EN
Document type
Dataset