%0 Dataset
%T SDUST2023VGGA: a global ocean vertical gradient of gravity anomaly model determined from multidirectional data from mean sea surface
%J National Cryosphere Desert Data Center
%I National Cryosphere Desert Data Center(www.ncdc.ac.cn)
%U http://www.ncdc.ac.cn/portal/metadata/e4a6cbba-d249-4134-85dc-bca7207db735
%W NCDC
%R 10.5281/zenodo.14177000
%A Jinyun Guo‌
%K SDUST2023VGGA‌;gravity gradient;mean sea surface
%X Satellite altimetry is a vital tool for global ocean observation, providing critical insights into ocean gravity and its gradients. Over the past 6 years, satellite data from various space agencies have nearly tripled, facilitating the development of high-precision ocean gravity anomaly and ocean vertical gradient of gravity anomaly (VGGA) models.SDUST2023VGGA is a global oceanic vertical gradient of gravity anomaly (VGGA) model on a 1'×1' grid, constructed using multi-directional mean sea surface (MSS) data from the DTU21MSS. Covering latitudes from 80°S to 80°N, this model incorporates multi-directional observations to better capture variations in the oceanic gravity field. Comparison with the SIO V32.1 model indicates a high level of consistency, supporting SDUST2023VGGA’s suitability for studies of seafloor structure, ocean geophysics, and mass distribution.