Articles | Volume 9, issue 2
Solid Earth, 9, 323–339, 2018
https://doi.org/10.5194/se-9-323-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue: Dynamics and interaction of processes in the Earth and its...
Research article 23 Mar 2018
Research article | 23 Mar 2018
Time-variable gravity fields and ocean mass change from 37 months of kinematic Swarm orbits
Christina Lück et al.
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Cited
16 citations as recorded by crossref.
- Processing Choices Affect Ocean Mass Estimates From GRACE B. Uebbing et al. 10.1029/2018JC014341
- Co-Seismic Magnetic Field Perturbations Detected by Swarm Three-Satellite Constellation D. Marchetti et al. 10.3390/rs12071166
- Description of the multi-approach gravity field models from Swarm GPS data J. Teixeira da Encarnação et al. 10.5194/essd-12-1385-2020
- Mitigation of ionospheric signatures in Swarm GPS gravity field estimation using weighting strategies L. Schreiter et al. 10.5194/angeo-37-111-2019
- Magnetic Field and Electron Density Anomalies from Swarm Satellites Preceding the Major Earthquakes of the 2016–2017 Amatrice-Norcia (Central Italy) Seismic Sequence D. Marchetti et al. 10.1007/s00024-019-02138-y
- What can be expected from GNSS tracking of satellite constellations for temporal gravity field model determination? H. Zhou et al. 10.1093/gji/ggaa177
- Reconstructing GRACE-type time-variable gravity from the Swarm satellites H. Richter et al. 10.1038/s41598-020-80752-w
- Determining and Evaluating the Hydrological Signal in Polar Motion Excitation from Gravity Field Models Obtained from Kinematic Orbits of LEO Satellites J. Śliwińska & J. Nastula 10.3390/rs11151784
- SLR, GRACE and Swarm Gravity Field Determination and Combination U. Meyer et al. 10.3390/rs11080956
- Comparison of Data‐Driven Techniques to Reconstruct (1992–2002) and Predict (2017–2018) GRACE‐Like Gridded Total Water Storage Changes Using Climate Inputs F. Li et al. 10.1029/2019WR026551
- An Iterative ICA-Based Reconstruction Method to Produce Consistent Time-Variable Total Water Storage Fields Using GRACE and Swarm Satellite Data E. Forootan et al. 10.3390/rs12101639
- ON THE RECOVERY OF TEMPORAL VARIATIONS OF GEOID HEIGHTS DETERMINED WITH THE USE OF GGMS BASED ON SST-HL DATA FROM NON-DEDICATED GRAVITY SATELLITE MISSIONS W. Godah et al. 10.1590/s1982-21702019000300017
- Improved multichannel singular spectrum analysis for post-processing GRACE monthly gravity field models F. Wang et al. 10.1093/gji/ggaa339
- A framework for deriving drought indicators from the Gravity Recovery and Climate Experiment (GRACE) H. Gerdener et al. 10.5194/hess-24-227-2020
- Stochastic noise modelling of kinematic orbit positions in the Celestial Mechanics Approach M. Lasser et al. 10.5194/adgeo-50-101-2020
- Comparison of Terrestrial Water Storage Changes Derived from GRACE/GRACE-FO and Swarm: A Case Study in the Amazon River Basin L. Cui et al. 10.3390/w12113128
16 citations as recorded by crossref.
- Processing Choices Affect Ocean Mass Estimates From GRACE B. Uebbing et al. 10.1029/2018JC014341
- Co-Seismic Magnetic Field Perturbations Detected by Swarm Three-Satellite Constellation D. Marchetti et al. 10.3390/rs12071166
- Description of the multi-approach gravity field models from Swarm GPS data J. Teixeira da Encarnação et al. 10.5194/essd-12-1385-2020
- Mitigation of ionospheric signatures in Swarm GPS gravity field estimation using weighting strategies L. Schreiter et al. 10.5194/angeo-37-111-2019
- Magnetic Field and Electron Density Anomalies from Swarm Satellites Preceding the Major Earthquakes of the 2016–2017 Amatrice-Norcia (Central Italy) Seismic Sequence D. Marchetti et al. 10.1007/s00024-019-02138-y
- What can be expected from GNSS tracking of satellite constellations for temporal gravity field model determination? H. Zhou et al. 10.1093/gji/ggaa177
- Reconstructing GRACE-type time-variable gravity from the Swarm satellites H. Richter et al. 10.1038/s41598-020-80752-w
- Determining and Evaluating the Hydrological Signal in Polar Motion Excitation from Gravity Field Models Obtained from Kinematic Orbits of LEO Satellites J. Śliwińska & J. Nastula 10.3390/rs11151784
- SLR, GRACE and Swarm Gravity Field Determination and Combination U. Meyer et al. 10.3390/rs11080956
- Comparison of Data‐Driven Techniques to Reconstruct (1992–2002) and Predict (2017–2018) GRACE‐Like Gridded Total Water Storage Changes Using Climate Inputs F. Li et al. 10.1029/2019WR026551
- An Iterative ICA-Based Reconstruction Method to Produce Consistent Time-Variable Total Water Storage Fields Using GRACE and Swarm Satellite Data E. Forootan et al. 10.3390/rs12101639
- ON THE RECOVERY OF TEMPORAL VARIATIONS OF GEOID HEIGHTS DETERMINED WITH THE USE OF GGMS BASED ON SST-HL DATA FROM NON-DEDICATED GRAVITY SATELLITE MISSIONS W. Godah et al. 10.1590/s1982-21702019000300017
- Improved multichannel singular spectrum analysis for post-processing GRACE monthly gravity field models F. Wang et al. 10.1093/gji/ggaa339
- A framework for deriving drought indicators from the Gravity Recovery and Climate Experiment (GRACE) H. Gerdener et al. 10.5194/hess-24-227-2020
- Stochastic noise modelling of kinematic orbit positions in the Celestial Mechanics Approach M. Lasser et al. 10.5194/adgeo-50-101-2020
- Comparison of Terrestrial Water Storage Changes Derived from GRACE/GRACE-FO and Swarm: A Case Study in the Amazon River Basin L. Cui et al. 10.3390/w12113128
Latest update: 25 Jan 2021
Short summary
Since 2002, the GRACE mission provides estimates of the Earth's time-variable gravity field, from which one can derive ocean mass variability. Now that the GRACE mission has come to an end, it is especially important to find alternative ways for deriving ocean mass changes. For the first time, we use kinematic orbits of Swarm for computing ocean mass time series. We compute monthly solutions, but also show an alternative way of directly estimating time-variable spherical harmonic coefficients.
Since 2002, the GRACE mission provides estimates of the Earth's time-variable gravity field,...