48 citations as recorded by crossref.

1. Predictive Skill Assessment for Land Water Storage in CMIP5 Decadal Hindcasts by a Global Reconstruction of GRACE Satellite Data L. Jensen et al. 10.1175/JCLI-D-20-0042.1
2. Re-assessing global water storage trends from GRACE time series B. Vishwakarma et al. 10.1088/1748-9326/abd4a9
3. Calibration‐Free Complementary Relationship Estimates Terrestrial Evapotranspiration Globally N. Ma et al. 10.1029/2021WR029691
4. Reconstruction of continuous GRACE/GRACE-FO terrestrial water storage anomalies based on time series decomposition X. Yang et al. 10.1016/j.jhydrol.2021.127018
5. Identifying and separating climate- and human-driven water storage anomalies using GRACE satellite data B. Liu et al. 10.1016/j.rse.2021.112559
6. The causes of sea-level rise since 1900 T. Frederikse et al. 10.1038/s41586-020-2591-3
7. Earth's Energy Imbalance From the Ocean Perspective (2005–2019) M. Hakuba et al. 10.1029/2021GL093624
8. Benchmarking large-scale evapotranspiration estimates: A perspective from a calibration-free complementary relationship approach and FLUXCOM N. Ma et al. 10.1016/j.jhydrol.2020.125221
9. Human-Induced and Climate-Driven Contributions to Water Storage Variations in the Haihe River Basin, China Y. Zhong et al. 10.3390/rs11243050
10. Detection and Characterization of Active Slope Deformations with Sentinel-1 InSAR Analyses in the Southwest Area of Shanxi, China X. Shi et al. 10.3390/rs12030392
11. G‐RUN ENSEMBLE: A Multi‐Forcing Observation‐Based Global Runoff Reanalysis G. Ghiggi et al. 10.1029/2020WR028787
12. Reconstructing GRACE-like TWS anomalies for the Canadian landmass using deep learning and land surface model Q. Yu et al. 10.1016/j.jag.2021.102404
13. Reanalysis in Earth System Science: Toward Terrestrial Ecosystem Reanalysis R. Baatz et al. 10.1029/2020RG000715
14. Detecting and quantifying the impact of long-term terrestrial water storage changes on the runoff ratio in the head regions of the two largest rivers in China Z. Xu et al. 10.1016/j.jhydrol.2021.126668
15. Quantifying the Central European Droughts in 2018 and 2019 With GRACE Follow‐On E. Boergens et al. 10.1029/2020GL087285
16. The Novel Microwave Temperature Vegetation Drought Index (MTVDI) Captures Canopy Seasonality across Amazonian Tropical Evergreen Forests L. Liu et al. 10.3390/rs13030339
17. Monitoring Droughts From GRACE B. Vishwakarma 10.3389/fenvs.2020.584690
18. A hybrid approach for recovering high-resolution temporal gravity fields from satellite laser ranging A. Löcher & J. Kusche 10.1007/s00190-020-01460-x
19. Long‐Term (1979‐Present) Total Water Storage Anomalies Over the Global Land Derived by Reconstructing GRACE Data F. Li et al. 10.1029/2021GL093492
20. GROOPS: A software toolkit for gravity field recovery and GNSS processing T. Mayer-Gürr et al. 10.1016/j.cageo.2021.104864
21. A data-driven approach to generate past GRACE-like terrestrial water storage solution by calibrating the land surface model simulations W. Jing et al. 10.1016/j.advwatres.2020.103683
22. The great 1983 floods in South American large rivers: a continental hydrological modelling approach A. Fleischmann et al. 10.1080/02626667.2020.1747622
23. Soil moisture seasonality alters vegetation response to drought in the Mongolian Plateau Z. Lu et al. 10.1088/1748-9326/abd1a2
24. Emulating Earth system model temperatures with MESMER: from global mean temperature trajectories to grid-point-level realizations on land L. Beusch et al. 10.5194/esd-11-139-2020
25. Extending the Global Mass Change Data Record: GRACE Follow‐On Instrument and Science Data Performance F. Landerer et al. 10.1029/2020GL088306
26. Seesaw Terrestrial Wetting and Drying Between Eastern and Western Australia A. Chen et al. 10.1029/2020EF001893
27. The efficacy of seasonal terrestrial water storage forecasts for predicting vegetation activity over Africa B. Cook et al. 10.1175/JHM-D-21-0046.1
28. Improving the Reliability of the Prediction of Terrestrial Water Storage in Yunnan Using the Artificial Neural Network Selective Joint Prediction Model Z. Shi et al. 10.1109/ACCESS.2021.3051049
29. Hydrological variability in southern Siberia and the role of permafrost degradation L. Han & L. Menzel 10.1016/j.jhydrol.2021.127203
30. Bidirectional drought‐related canopy dynamics across pantropical forests: a satellite‐based statistical analysis L. Liu et al. 10.1002/rse2.229
31. Leaf shedding of Pan-Asian tropical evergreen forests depends on the synchrony of seasonal variations of rainfall and incoming solar radiation J. Wu et al. 10.1016/j.agrformet.2021.108691
32. An Interannual Probabilistic Assessment of Subsurface Water Storage Over Europe Using a Fully Coupled Terrestrial Model C. Hartick et al. 10.1029/2020WR027828
33. Divergent Causes of Terrestrial Water Storage Decline Between Drylands and Humid Regions Globally L. An et al. 10.1029/2021GL095035
34. Decline in terrestrial water recharge with increasing global temperatures C. Banerjee et al. 10.1016/j.scitotenv.2020.142913
35. Estimation of Terrestrial Water Storage Changes at Small Basin Scales Based on Multi-Source Data Q. Li et al. 10.3390/rs13163304
36. Filling the Data Gaps Within GRACE Missions Using Singular Spectrum Analysis S. Yi & N. Sneeuw 10.1029/2020JB021227
37. Data-driven reconstruction reveals large-scale ocean circulation control on coastal sea level S. Dangendorf et al. 10.1038/s41558-021-01046-1
38. Using GRACE Data to Study the Impact of Snow and Rainfall on Terrestrial Water Storage in Northeast China A. Qian et al. 10.3390/rs12244166
39. Extending GRACE terrestrial water storage anomalies by combining the random forest regression and a spatially moving window structure W. Jing et al. 10.1016/j.jhydrol.2020.125239
40. Century‐Scale Reconstruction of Water Storage Changes of the Largest Lake in the Inner Mongolia Plateau Using a Machine Learning Approach C. Fan et al. 10.1029/2020WR028831
41. Climate-driven prediction of land water storage anomalies: An outlook for water resources monitoring across the conterminous United States C. Sohoulande et al. 10.1016/j.jhydrol.2020.125053
42. Evaluation of the Local Sea‐Level Budget at Tide Gauges Since 1958 J. Wang et al. 10.1029/2021GL094502
43. Reconstruction of GRACE Total Water Storage Through Automated Machine Learning A. Sun et al. 10.1029/2020WR028666
44. Bayesian convolutional neural networks for predicting the terrestrial water storage anomalies during GRACE and GRACE-FO gap S. Mo et al. 10.1016/j.jhydrol.2021.127244
45. Observed changes in dry-season water availability attributed to human-induced climate change R. Padrón et al. 10.1038/s41561-020-0594-1
46. Origin of interannual variability in global mean sea level B. Hamlington et al. 10.1073/pnas.1922190117
47. Reconstructing GRACE-type time-variable gravity from the Swarm satellites H. Richter et al. 10.1038/s41598-020-80752-w
48. 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