Articles | Volume 11, issue 12
https://doi.org/10.5194/gmd-11-4797-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-11-4797-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
A multilayer approach and its application to model a local gravimetric quasi-geoid model over the North Sea: QGNSea V1.0
School of Earth Sciences and Engineering, Hohai University, Nanjing, China
State Key Laboratory of Geodesy and Earth's Dynamics, Institute of Geodesy and Geophysics, Chinese Academy of Sciences, Wuhan, China
Zhicai Luo
MOE Key Laboratory of Fundamental Physical Quantities Measurement, School of Physics, Huazhong University of Science and Technology, Wuhan, China
School of Geodesy and Geomatics, Wuhan University, Wuhan, China
Chuang Xu
CORRESPONDING AUTHOR
State Key Laboratory of Geodesy and Earth's Dynamics, Institute of Geodesy and Geophysics, Chinese Academy of Sciences, Wuhan, China
School of Civil and Transportation Engineering, Guangdong University of Technology, Guangdong, China
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Cited
14 citations as recorded by crossref.
- The parameterization of mean dynamic topography based on the Lagrange basis functions H. Shi et al. 10.1016/j.asr.2020.07.042
- Application of Sparse Regularization in Spherical Radial Basis Functions-Based Regional Geoid Modeling in Colorado H. Yu et al. 10.3390/rs15194870
- A regional approach for high-resolution gravity anomaly recovery from full airborne gravity gradient tensor Y. Wu et al. 10.1093/gji/ggae220
- An Assessment of Recently Released High-Degree Global Geopotential Models Based on Heterogeneous Geodetic and Ocean Data Y. Wu et al. 10.3389/feart.2021.749611
- Joint reprocessing method of multivintage shipborne gravity anomalies considering temporal error effects: a case study of the Philippine sea J. Guo et al. 10.1093/gji/ggaf276
- Seafloor Topography Modeling by Fusing ICESat-2 Lidar, Echo Sounding, and Airborne and Altimetric Gravity Data From Spherical Radial Basis Functions Y. Wu et al. 10.1109/TGRS.2024.3523893
- A data-adaptive network design for the regional gravity field modelling using spherical radial basis functions F. Zhang et al. 10.1016/j.geog.2024.04.001
- High-Resolution Quasi-Geoid Recovery Over Coastal Zone by Using Airborne Gravity Gradient Data Y. Wu et al. 10.1109/TGRS.2025.3588586
- Sparsifying spherical radial basis functions based regional gravity models H. Yu et al. 10.1080/14498596.2020.1760952
- Combination of different observation types through a multi-resolution representation of the regional gravity field using the pyramid algorithm and parameter estimation Q. Liu et al. 10.1007/s00190-022-01670-5
- The earth’s gravity field recovery using the third invariant of the gravity gradient tensor from GOCE L. Cai et al. 10.1038/s41598-021-81840-1
- Spherical radial basis functions model: approximating an integral functional of an isotropic Gaussian random field G. Chang et al. 10.1007/s00190-024-01910-w
- Spectrally Consistent Mean Dynamic Topography by Combining Mean Sea Surface and Global Geopotential Model Through a Least Squares-Based Approach H. Shi et al. 10.3389/feart.2022.795935
- Downward continuation of airborne gravity data based on sparse spherical radial basis function Y. Zhu 10.13168/AGG.2025.0031
14 citations as recorded by crossref.
- The parameterization of mean dynamic topography based on the Lagrange basis functions H. Shi et al. 10.1016/j.asr.2020.07.042
- Application of Sparse Regularization in Spherical Radial Basis Functions-Based Regional Geoid Modeling in Colorado H. Yu et al. 10.3390/rs15194870
- A regional approach for high-resolution gravity anomaly recovery from full airborne gravity gradient tensor Y. Wu et al. 10.1093/gji/ggae220
- An Assessment of Recently Released High-Degree Global Geopotential Models Based on Heterogeneous Geodetic and Ocean Data Y. Wu et al. 10.3389/feart.2021.749611
- Joint reprocessing method of multivintage shipborne gravity anomalies considering temporal error effects: a case study of the Philippine sea J. Guo et al. 10.1093/gji/ggaf276
- Seafloor Topography Modeling by Fusing ICESat-2 Lidar, Echo Sounding, and Airborne and Altimetric Gravity Data From Spherical Radial Basis Functions Y. Wu et al. 10.1109/TGRS.2024.3523893
- A data-adaptive network design for the regional gravity field modelling using spherical radial basis functions F. Zhang et al. 10.1016/j.geog.2024.04.001
- High-Resolution Quasi-Geoid Recovery Over Coastal Zone by Using Airborne Gravity Gradient Data Y. Wu et al. 10.1109/TGRS.2025.3588586
- Sparsifying spherical radial basis functions based regional gravity models H. Yu et al. 10.1080/14498596.2020.1760952
- Combination of different observation types through a multi-resolution representation of the regional gravity field using the pyramid algorithm and parameter estimation Q. Liu et al. 10.1007/s00190-022-01670-5
- The earth’s gravity field recovery using the third invariant of the gravity gradient tensor from GOCE L. Cai et al. 10.1038/s41598-021-81840-1
- Spherical radial basis functions model: approximating an integral functional of an isotropic Gaussian random field G. Chang et al. 10.1007/s00190-024-01910-w
- Spectrally Consistent Mean Dynamic Topography by Combining Mean Sea Surface and Global Geopotential Model Through a Least Squares-Based Approach H. Shi et al. 10.3389/feart.2022.795935
- Downward continuation of airborne gravity data based on sparse spherical radial basis function Y. Zhu 10.13168/AGG.2025.0031
Latest update: 28 Oct 2025
Short summary
A multilayer approach is parameterized for model development, and the multiple layers are located at different depths beneath the Earth’s surface. This method may be beneficial for gravity/manget field modeling, which may outperform the traditional single-layer approach.
A multilayer approach is parameterized for model development, and the multiple layers are...