39 citations as recorded by crossref.

1. 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
2. Processing Choices Affect Ocean Mass Estimates From GRACE B. Uebbing et al. 10.1029/2018JC014341
3. Co-Seismic Magnetic Field Perturbations Detected by Swarm Three-Satellite Constellation D. Marchetti et al. 10.3390/rs12071166
4. 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
5. 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
6. Description of the multi-approach gravity field models from Swarm GPS data J. Teixeira da Encarnação et al. 10.5194/essd-12-1385-2020
7. 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
8. 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
9. What can be expected from GNSS tracking of satellite constellations for temporal gravity field model determination? H. Zhou et al. 10.1093/gji/ggaa177
10. 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
11. 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
12. 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
13. 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
14. 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
15. 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
16. Assessment of Swarm Kinematic Orbit Determination Using Two Different Double-Difference Methods R. Zhang et al. 10.3390/rs15102669
17. Long‐Term (1979‐Present) Total Water Storage Anomalies Over the Global Land Derived by Reconstructing GRACE Data F. Li et al. 10.1029/2021GL093492
18. A framework for deriving drought indicators from the Gravity Recovery and Climate Experiment (GRACE) H. Gerdener et al. 10.5194/hess-24-227-2020
19. Stochastic noise modelling of kinematic orbit positions in the Celestial Mechanics Approach M. Lasser et al. 10.5194/adgeo-50-101-2020
20. Data‐Driven Gap Filling and Spatio‐Temporal Filtering of the GRACE and GRACE‐FO Records L. Gauer et al. 10.1029/2022JB025561
21. 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
22. 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
23. Twenty-Year Spatiotemporal Variations of TWS over Mainland China Observed by GRACE and GRACE Follow-On Satellites W. Chen et al. 10.3390/atmos14121717
24. Filling the Data Gaps Within GRACE Missions Using Singular Spectrum Analysis S. Yi & N. Sneeuw 10.1029/2020JB021227
25. Mitigation of ionospheric signatures in Swarm GPS gravity field estimation using weighting strategies L. Schreiter et al. 10.5194/angeo-37-111-2019
26. 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
27. Interrelations of vegetation growth and water scarcity in Iran revealed by satellite time series R. Behling et al. 10.1038/s41598-022-24712-6
28. Reconstructing GRACE-type time-variable gravity from the Swarm satellites H. Richter et al. 10.1038/s41598-020-80752-w
29. Satellite laser ranging to GNSS-based Swarm orbits with handling of systematic errors D. Strugarek et al. 10.1007/s10291-022-01289-1
30. SLR, GRACE and Swarm Gravity Field Determination and Combination U. Meyer et al. 10.3390/rs11080956
31. 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
32. Earth's Energy Imbalance From the Ocean Perspective (2005–2019) M. Hakuba et al. 10.1029/2021GL093624
33. Reconstruction of GRACE Mass Change Time Series Using a Bayesian Framework A. Rateb et al. 10.1029/2021EA002162
34. Bridging the Terrestrial Water Storage Anomalies between the GRACE/GRACE-FO Gap Using BEAST + GMDH Algorithm N. Qian et al. 10.3390/rs16193693
35. 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
36. 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
37. GOCO06s – a satellite-only global gravity field model A. Kvas et al. 10.5194/essd-13-99-2021
38. Improved multichannel singular spectrum analysis for post-processing GRACE monthly gravity field models F. Wang et al. 10.1093/gji/ggaa339
39. 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