Articles | Volume 16, issue 9
https://doi.org/10.5194/essd-16-4119-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-16-4119-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
13 Sep 2024
Data description paper |
| 13 Sep 2024
| 13 Sep 2024
The SDUST2022GRA global marine gravity anomalies recovered from radar and laser altimeter data: contribution of ICESat-2 laser altimetry
Zhen Li
College of Geodesy and Geomatics, Shandong University of Science and Technology, Qingdao 266590, China
College of Geodesy and Geomatics, Shandong University of Science and Technology, Qingdao 266590, China
Chengcheng Zhu
School of Surveying and Geo-informatics, Shandong Jianzhu University, Jinan 250101, China
Xin Liu
College of Geodesy and Geomatics, Shandong University of Science and Technology, Qingdao 266590, China
Cheinway Hwang
Department of Civil Engineering, National Yang Ming Chiao Tung University, Hsinchu 300, Taiwan
Sergey Lebedev
Geophysical Center, Schmidt Institute of Physics of the Earth, Russian Academy of Sciences, Moscow, Russia
Xiaotao Chang
Land Satellite Remote Sensing Application Center, Ministry of Natural Resources, Beijing 100048, China
Anatoly Soloviev
Geophysical Center, Schmidt Institute of Physics of the Earth, Russian Academy of Sciences, Moscow, Russia
Heping Sun
State Key Laboratory of Geodesy and Earth's Dynamics, Innovation Academy of Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan 430077, China
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Cited
12 citations as recorded by crossref.
- SDUST2023VGGA: a global ocean vertical gradient of gravity anomaly model determined from multidirectional data from mean sea surface R. Zhou et al. 10.5194/essd-17-817-2025
- Realizing the Calculation of a Fully Normalized Associated Legendre Function Based on an FPGA Y. Fang et al. 10.3390/s24227262
- SDUST2023BCO: a global seafloor model determined from a multi-layer perceptron neural network using multi-source differential marine geodetic data S. Zhou et al. 10.5194/essd-17-165-2025
- An Improved Latitude Difference Method for SWOT Accuracy Evaluation Using Crossover Discrepancies H. Guo et al. 10.1109/TGRS.2025.3555795
- Incorporating Sediment Effects Into Seafloor Topographic Inversion via Coefficient-Constrained Multivariate Regression X. Jiang et al. 10.1109/TGRS.2025.3565126
- Refining satellite Altimetry-Derived gravity anomaly model with shipborne gravity using multilayer perceptron neural networks C. Xiao et al. 10.1038/s41598-025-04619-8
- SDUST2023GRA_MSS: the new global marine gravity anomaly model determined from mean sea surface model J. Guo et al. 10.1038/s41597-025-04394-1
- Refining regional gravity anomalies and vertical deflections of high-degree earth gravity model from residual terrains based on the spatial domain method Y. Liu et al. 10.1186/s40623-025-02168-y
- Moving Geoid Gradient Method for High-Precision and High-Resolution Gravity Recovery From SWOT Wide-Swath Data C. Zhu et al. 10.1109/TGRS.2025.3563949
- Modeling Marine Geoid in the China Seas and Its Adjacent Ocean Based on Satellite Altimeter-Derived Gravity Anomaly Model H. Zhang et al. 10.1109/ACCESS.2024.3501279
- Recovering Bathymetry Using BP Neural Network Combined with Modified Gravity–Geologic Method: A Case Study in the South China Sea X. Chen et al. 10.3390/rs16214023
- Weighted Fusion Method of Marine Gravity Field Model Based on Water Depth Segmentation Z. Chen et al. 10.3390/rs16214107
12 citations as recorded by crossref.
- SDUST2023VGGA: a global ocean vertical gradient of gravity anomaly model determined from multidirectional data from mean sea surface R. Zhou et al. 10.5194/essd-17-817-2025
- Realizing the Calculation of a Fully Normalized Associated Legendre Function Based on an FPGA Y. Fang et al. 10.3390/s24227262
- SDUST2023BCO: a global seafloor model determined from a multi-layer perceptron neural network using multi-source differential marine geodetic data S. Zhou et al. 10.5194/essd-17-165-2025
- An Improved Latitude Difference Method for SWOT Accuracy Evaluation Using Crossover Discrepancies H. Guo et al. 10.1109/TGRS.2025.3555795
- Incorporating Sediment Effects Into Seafloor Topographic Inversion via Coefficient-Constrained Multivariate Regression X. Jiang et al. 10.1109/TGRS.2025.3565126
- Refining satellite Altimetry-Derived gravity anomaly model with shipborne gravity using multilayer perceptron neural networks C. Xiao et al. 10.1038/s41598-025-04619-8
- SDUST2023GRA_MSS: the new global marine gravity anomaly model determined from mean sea surface model J. Guo et al. 10.1038/s41597-025-04394-1
- Refining regional gravity anomalies and vertical deflections of high-degree earth gravity model from residual terrains based on the spatial domain method Y. Liu et al. 10.1186/s40623-025-02168-y
- Moving Geoid Gradient Method for High-Precision and High-Resolution Gravity Recovery From SWOT Wide-Swath Data C. Zhu et al. 10.1109/TGRS.2025.3563949
- Modeling Marine Geoid in the China Seas and Its Adjacent Ocean Based on Satellite Altimeter-Derived Gravity Anomaly Model H. Zhang et al. 10.1109/ACCESS.2024.3501279
- Recovering Bathymetry Using BP Neural Network Combined with Modified Gravity–Geologic Method: A Case Study in the South China Sea X. Chen et al. 10.3390/rs16214023
- Weighted Fusion Method of Marine Gravity Field Model Based on Water Depth Segmentation Z. Chen et al. 10.3390/rs16214107
Latest update: 14 Jun 2025
Short summary
A new global marine gravity model, SDUST2022GRA, is recovered from radar and laser altimeter data. The accuracy of SDUST2022GRA is 4.43 mGal on a global scale, which is at least 0.22 mGal better than that of other models. The spatial resolution of SDUST2022GRA is approximately 20 km in a certain region, slightly superior to other models. These assessments suggest that SDUST2022GRA is a reliable global marine gravity anomaly model.
A new global marine gravity model, SDUST2022GRA, is recovered from radar and laser altimeter...
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