Articles | Volume 9, issue 2
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.
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.
Research article
| 
23 Mar 2018
Research article |
| 23 Mar 2018
| 23 Mar 2018
Time-variable gravity fields and ocean mass change from 37 months of kinematic Swarm orbits
Christina Lück
CORRESPONDING AUTHOR
Institute of Geodesy and Geoinformation, University of Bonn, Bonn, Germany
Jürgen Kusche
Institute of Geodesy and Geoinformation, University of Bonn, Bonn, Germany
Roelof Rietbroek
Institute of Geodesy and Geoinformation, University of Bonn, Bonn, Germany
Anno Löcher
Institute of Geodesy and Geoinformation, University of Bonn, Bonn, Germany
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Cited
40 citations as recorded by crossref.
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- 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
- The Drought Events over the Amazon River Basin from 2003 to 2020 Detected by GRACE/GRACE-FO and Swarm Satellites L. Cui et al. 10.3390/rs14122887
- Bridging the gap between GRACE and GRACE follow-on monthly gravity field solutions using improved multichannel singular spectrum analysis F. Wang et al. 10.1016/j.jhydrol.2021.125972
- Description of the multi-approach gravity field models from Swarm GPS data J. Teixeira da Encarnação et al. 10.5194/essd-12-1385-2020
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- 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
- 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
- Gap filling between GRACE and GRACE-FO missions: assessment of interpolation techniques H. Lecomte et al. 10.1007/s00190-024-01917-3
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- Monthly Gravity Field Solutions From Early LEO Satellites' Observations Contribute to Global Ocean Mass Change Estimates Over 1993∼2004 Q. Chen et al. 10.1029/2022GL099917
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- Drought Events over the Amazon River Basin (1993–2019) as Detected by the Climate-Driven Total Water Storage Change K. Tian et al. 10.3390/rs13061124
- Assessment of Swarm Kinematic Orbit Determination Using Two Different Double-Difference Methods R. Zhang et al. 10.3390/rs15102669
- Long‐Term (1979‐Present) Total Water Storage Anomalies Over the Global Land Derived by Reconstructing GRACE Data F. Li et al. 10.1029/2021GL093492
- 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
- Data‐Driven Gap Filling and Spatio‐Temporal Filtering of the GRACE and GRACE‐FO Records L. Gauer et al. 10.1029/2022JB025561
- Bridging the gap between GRACE and GRACE Follow-On by combining high–low satellite-to-satellite tracking data and satellite laser ranging M. Weigelt et al. 10.1007/s00190-024-01888-5
- A gap-filling algorithm selection strategy for GRACE and GRACE Follow-On time series based on hydrological signal characteristics of the individual river basins H. Karimi et al. 10.1515/jogs-2022-0129
- Twenty-Year Spatiotemporal Variations of TWS over Mainland China Observed by GRACE and GRACE Follow-On Satellites W. Chen et al. 10.3390/atmos14121717
- Filling the Data Gaps Within GRACE Missions Using Singular Spectrum Analysis S. Yi & N. Sneeuw 10.1029/2020JB021227
- Mitigation of ionospheric signatures in Swarm GPS gravity field estimation using weighting strategies L. Schreiter et al. 10.5194/angeo-37-111-2019
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- Reconstructing GRACE-type time-variable gravity from the Swarm satellites H. Richter et al. 10.1038/s41598-020-80752-w
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- SLR, GRACE and Swarm Gravity Field Determination and Combination U. Meyer et al. 10.3390/rs11080956
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- Earth's Energy Imbalance From the Ocean Perspective (2005–2019) M. Hakuba et al. 10.1029/2021GL093624
- Reconstruction of GRACE Mass Change Time Series Using a Bayesian Framework A. Rateb et al. 10.1029/2021EA002162
- Bridging the Terrestrial Water Storage Anomalies between the GRACE/GRACE-FO Gap Using BEAST + GMDH Algorithm N. Qian et al. 10.3390/rs16193693
- 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
- GOCO06s – a satellite-only global gravity field model A. Kvas et al. 10.5194/essd-13-99-2021
- Improved multichannel singular spectrum analysis for post-processing GRACE monthly gravity field models F. Wang et al. 10.1093/gji/ggaa339
- 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
40 citations as recorded by crossref.
- Spatiotemporal Change in Evapotranspiration across the Indus River Basin Detected by Combining GRACE/GRACE-FO and Swarm Observations L. Cui et al. 10.3390/rs15184469
- 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
- The Drought Events over the Amazon River Basin from 2003 to 2020 Detected by GRACE/GRACE-FO and Swarm Satellites L. Cui et al. 10.3390/rs14122887
- Bridging the gap between GRACE and GRACE follow-on monthly gravity field solutions using improved multichannel singular spectrum analysis F. Wang et al. 10.1016/j.jhydrol.2021.125972
- Description of the multi-approach gravity field models from Swarm GPS data J. Teixeira da Encarnação et al. 10.5194/essd-12-1385-2020
- Bridging the data gap between GRACE and GRACE-FO using artificial neural network in Greenland B. Zhang et al. 10.1016/j.jhydrol.2022.127614
- 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
- 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
- Gap filling between GRACE and GRACE-FO missions: assessment of interpolation techniques H. Lecomte et al. 10.1007/s00190-024-01917-3
- 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
- Monthly Gravity Field Solutions From Early LEO Satellites' Observations Contribute to Global Ocean Mass Change Estimates Over 1993∼2004 Q. Chen et al. 10.1029/2022GL099917
- A Two‐Step Linear Model to Fill the Data Gap Between GRACE and GRACE‐FO Terrestrial Water Storage Anomalies X. Yang et al. 10.1029/2022WR034139
- Using Swarm to Detect Total Water Storage Changes in 26 Global Basins (Taking the Amazon Basin, Volga Basin and Zambezi Basin as Examples) Z. Wang et al. 10.3390/rs13142659
- Drought Events over the Amazon River Basin (1993–2019) as Detected by the Climate-Driven Total Water Storage Change K. Tian et al. 10.3390/rs13061124
- Assessment of Swarm Kinematic Orbit Determination Using Two Different Double-Difference Methods R. Zhang et al. 10.3390/rs15102669
- Long‐Term (1979‐Present) Total Water Storage Anomalies Over the Global Land Derived by Reconstructing GRACE Data F. Li et al. 10.1029/2021GL093492
- 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
- Data‐Driven Gap Filling and Spatio‐Temporal Filtering of the GRACE and GRACE‐FO Records L. Gauer et al. 10.1029/2022JB025561
- Bridging the gap between GRACE and GRACE Follow-On by combining high–low satellite-to-satellite tracking data and satellite laser ranging M. Weigelt et al. 10.1007/s00190-024-01888-5
- A gap-filling algorithm selection strategy for GRACE and GRACE Follow-On time series based on hydrological signal characteristics of the individual river basins H. Karimi et al. 10.1515/jogs-2022-0129
- Twenty-Year Spatiotemporal Variations of TWS over Mainland China Observed by GRACE and GRACE Follow-On Satellites W. Chen et al. 10.3390/atmos14121717
- Filling the Data Gaps Within GRACE Missions Using Singular Spectrum Analysis S. Yi & N. Sneeuw 10.1029/2020JB021227
- Mitigation of ionospheric signatures in Swarm GPS gravity field estimation using weighting strategies L. Schreiter et al. 10.5194/angeo-37-111-2019
- Bandwidth correction of Swarm GPS carrier phase observations for improved orbit and gravity field determination L. Schreiter et al. 10.1007/s10291-021-01107-0
- Interrelations of vegetation growth and water scarcity in Iran revealed by satellite time series R. Behling et al. 10.1038/s41598-022-24712-6
- Reconstructing GRACE-type time-variable gravity from the Swarm satellites H. Richter et al. 10.1038/s41598-020-80752-w
- Satellite laser ranging to GNSS-based Swarm orbits with handling of systematic errors D. Strugarek et al. 10.1007/s10291-022-01289-1
- SLR, GRACE and Swarm Gravity Field Determination and Combination U. Meyer et al. 10.3390/rs11080956
- Bridging the gap between GRACE and GRACE-FO missions with deep learning aided water storage simulations M. Uz et al. 10.1016/j.scitotenv.2022.154701
- Earth's Energy Imbalance From the Ocean Perspective (2005–2019) M. Hakuba et al. 10.1029/2021GL093624
- Reconstruction of GRACE Mass Change Time Series Using a Bayesian Framework A. Rateb et al. 10.1029/2021EA002162
- Bridging the Terrestrial Water Storage Anomalies between the GRACE/GRACE-FO Gap Using BEAST + GMDH Algorithm N. Qian et al. 10.3390/rs16193693
- 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
- GOCO06s – a satellite-only global gravity field model A. Kvas et al. 10.5194/essd-13-99-2021
- Improved multichannel singular spectrum analysis for post-processing GRACE monthly gravity field models F. Wang et al. 10.1093/gji/ggaa339
- 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: 05 Jul 2025
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,...
