卫星测高是全球海洋观测的关键工具，为海洋重力及其梯度研究提供重要数据支撑。过去6年间，多国航天机构卫星数据量增长近3倍，推动了高精度海洋重力异常与海洋重力异常垂直梯度（VGGA）模型的研发。
\nSDUST2023VGGA是全球首套基于DTU21MSS 多方向平均海面高（MSS）数据构建的 1'×1' 网格化海洋重力异常垂直梯度（VGGA）模型。该模型覆盖南纬 80° 至北纬 80° 海域，通过融合多方向观测技术，有效捕捉海洋重力场的精细空间变化特征。与SIO V32.1 模型的对比验证表明，二者具有高度一致性（残差均值−0.08E，均方根误差8.50E），证实该模型适用于海底构造、海洋地球物理及质量分布研究。
", "ds_source": "数据来源于Zenodo网站（https://zenodo.org/records/14177000 ）。
", "ds_process_way": "本研究基于多方向平均海面高模型（multidirectional mean sea surface, MSS），构建了全球海洋VGGA模型SDUST2023VGGA。为突破计算瓶颈，将全球海洋划分为72个子区域，在每一子区域内联合DTU21 MSS模型和CNES-CLS22平均动力地形模型（MDT）解算大地水准面。为削弱长波信号对计算的影响，本研究通过扣除XGM2019e_2190重力场模型提取的长波大地水准面，获得残余（短波）大地水准面数据。
", "ds_quality": "为保障VGGA计算精度，采用加权最小二乘法，以计算点为中心提取17′×17′范围内的残余大地水准面数据参与解算，有效反映真实海洋环境，提升计算结果精度。整合所有子区域VGGA模型后，与SIO V32.1 VGGA（代号curv）模型进行对比验证。结果显示，SDUST2023VGGA与SIO V32.1模型的残差均值为−0.08厄缶（E），均方根误差为8.50 E，表明二者在全球尺度上具有高度一致性。
", "ds_acq_start_time": null, "ds_acq_end_time": null, "ds_acq_place": "全球", "ds_acq_lon_east": null, "ds_acq_lat_south": null, "ds_acq_lon_west": null, "ds_acq_lat_north": null, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "login-access", "ds_total_size": 530935567, "ds_files_count": 2, "ds_format": "nc", "ds_space_res": "", "ds_time_res": "", "ds_coordinate": "无", "ds_projection": "", "ds_thumbnail": "e4a6cbba-d249-4134-85dc-bca7207db735.png", "ds_thumb_from": 2, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "", "ds_from_station": null, "organization_id": "0a4269e1-65f4-45f1-aeba-88ea3068eebf", "ds_serv_man": "敏玉芳", "ds_serv_phone": "0931-4967596", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "", "subject_codes": [ "170.60" ], "quality_level": 3, "publish_time": "2025-04-29 11:33:47", "last_updated": "2026-01-14 11:04:48", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.NCDC.ZENODO.DB6839.2025", "i18n": { "en": { "title": "SDUST2023VGGA: a global ocean vertical gradient of gravity anomaly model determined from multidirectional data from mean sea surface", "ds_format": "nc", "ds_source": "Data sourced from Zenodo website（ https://zenodo.org/records/14177000 ）.
", "ds_quality": "To ensure the accuracy of the VGGA calculations, a weighted least-squares method is employed using residual geoid data from a 17′×17′ area surrounding the computation point. This approach effectively accounts for the real ocean environment, thereby enhancing the precision of the calculation results. After combining the VGGA models for all sub-regions, the model's reliability is validated against the SIO V32.1 VGGA (named curv) model. The comparison between the SDUST2023VGGA and the SIO V32.1 model shows a residual mean is −0.08 Eötvös (E) and the RMS is 8.50 E, demonstrating high consistency on a global scale.
", "ds_ref_way": "", "ds_abstract": "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.
\nSDUST2023VGGA 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.
", "ds_time_res": "", "ds_acq_place": "Global", "ds_space_res": "", "ds_projection": "", "ds_process_way": "This study constructs a global ocean VGGA model named SDUST2023VGGA using multidirectional mean sea surface (MSS). To address computational limitations, the global ocean is divided into 72 sub-regions. In each sub-region, the DTU21 MSS model and the CNES-CLS22 mean dynamic topography (MDT) model are used to derive the geoid. To mitigate the influence of long-wavelength signals on the calculations, the study subtracts the long-wavelength geoid derived from the XGM2019e_2190 gravity field model from the (full-wavelength) geoid, resulting in a residual (short-wavelength) geoid.
", "ds_ref_instruction": "" } }, "submit_center_id": "ncdc", "data_level": 0, "license_type": "CC BY 4.0", "doi_reg_from": "reg_outside", "cstr_reg_from": "reg_outside", "doi_not_reg_reason": null, "cstr_not_reg_reason": null, "is_paper_in_submitting": false, "ds_topic_tags": [ "SDUST2023VGGA", "重力梯度", "平均海面高" ], "ds_subject_tags": [ "海洋科学" ], "ds_class_tags": [], "ds_locus_tags": [ "全球" ], "ds_time_tags": [], "ds_contributors": [ { "true_name": "郭金运", "email": "jinyunguo1@126.com", "work_for": "山东科技大学大地测量与地球信息学院", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "郭金运", "email": "jinyunguo1@126.com", "work_for": "山东科技大学大地测量与地球信息学院", "country": "中国" } ], "ds_managers": [ { "true_name": "郭金运", "email": "jinyunguo1@126.com", "work_for": "山东科技大学大地测量与地球信息学院", "country": "中国" } ], "category": "其他" }