69 citations as recorded by crossref.

1. Stakeholder-informed approach improves national modelling of water resources for a Sub-Saharan African basin R. Hinton et al. https://doi.org/10.1016/j.ejrh.2025.102574
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3. Glacier melt buffers river runoff in the Pamir Mountains E. Pohl et al. https://doi.org/10.1002/2016WR019431
4. Exploring potential drivers of terrestrial water storage anomaly trends in the Yangtze River Basin (2002–2019) J. Wang et al. https://doi.org/10.1016/j.ejrh.2025.102264
5. How realistic are multi-decadal reconstructions of GRACE-like total water storage anomalies? C. Hacker & J. Kusche https://doi.org/10.1016/j.jhydrol.2024.132180
6. The 2019–2020 Rise in Lake Victoria Monitored from Space: Exploiting the State-of-the-Art GRACE-FO and the Newly Released ERA-5 Reanalysis Products M. Khaki & J. Awange https://doi.org/10.3390/s21134304
7. Data assimilation of satellite-based terrestrial water storage changes into a hydrology land-surface model A. Bahrami et al. https://doi.org/10.1016/j.jhydrol.2020.125744
8. Improving the resolution of GRACE-based water storage estimates based on machine learning downscaling schemes W. Yin et al. https://doi.org/10.1016/j.jhydrol.2022.128447
9. The GWR model-based regional downscaling of GRACE/GRACE-FO derived groundwater storage to investigate local-scale variations in the North China Plain S. Ali et al. https://doi.org/10.1016/j.scitotenv.2023.168239
10. Multi-sensor assimilation of SMOS brightness temperature and GRACE terrestrial water storage observations for soil moisture and shallow groundwater estimation M. Girotto et al. https://doi.org/10.1016/j.rse.2019.04.001
11. Decoding human-climate interactions in China’s water-stressed aquifers: mechanistic modeling approach J. Sun et al. https://doi.org/10.1016/j.jhydrol.2026.135117
12. Assimilation of blended in situ-satellite snow water equivalent into the National Water Model for improving hydrologic simulation in two US river basins Y. Gan et al. https://doi.org/10.1016/j.scitotenv.2022.156567
13. Improved water balance component estimates through joint assimilation of GRACE water storage and SMOS soil moisture retrievals S. Tian et al. https://doi.org/10.1002/2016WR019641
14. Global joint assimilation of GRACE and SMOS for improved estimation of root-zone soil moisture and vegetation response S. Tian et al. https://doi.org/10.5194/hess-23-1067-2019
15. A review of current best practices and future directions in assimilating GRACE/-FO terrestrial water storage data into numerical models A. Springer et al. https://doi.org/10.5194/hess-30-985-2026
16. Assimilating multivariate remote sensing data into a fully coupled subsurface-land surface hydrological model S. Sadat Soltani et al. https://doi.org/10.1016/j.jhydrol.2024.131812
17. Spatial and Temporal Variations of Terrestrial Water Storage in Upper Indus Basin Using GRACE and Altimetry Data D. Hussain et al. https://doi.org/10.1109/ACCESS.2020.2984794
18. Assessing sequential data assimilation techniques for integrating GRACE data into a hydrological model M. Khaki et al. https://doi.org/10.1016/j.advwatres.2017.07.001
19. Nonparametric Data Assimilation Scheme for Land Hydrological Applications M. Khaki et al. https://doi.org/10.1029/2018WR022854
20. Radar Altimetry as a Proxy for Determining Terrestrial Water Storage Variability in Tropical Basins D. Melo & A. Getirana https://doi.org/10.3390/rs11212487
21. On the use of the GRACE normal equation of inter-satellite tracking data for estimation of soil moisture and groundwater in Australia N. Tangdamrongsub et al. https://doi.org/10.5194/hess-22-1811-2018
22. Comparison of the shallow groundwater storage change estimated by a distributed hydrological model and GRACE satellite gravimetry in a well-irrigated plain of the Haihe River basin, China X. Zhang et al. https://doi.org/10.1016/j.jhydrol.2022.127799
23. Using Satellite-Based Terrestrial Water Storage Data: A Review V. Humphrey et al. https://doi.org/10.1007/s10712-022-09754-9
24. Inter‐Basin Water Transfer Effectively Compensates for Regional Unsustainable Water Use J. Dong et al. https://doi.org/10.1029/2023WR035129
25. Water cycle science enabled by the GRACE and GRACE-FO satellite missions M. Rodell & J. Reager https://doi.org/10.1038/s44221-022-00005-0
26. Influences of recent climate change and human activities on water storage variations in Central Asia H. Deng & Y. Chen https://doi.org/10.1016/j.jhydrol.2016.11.006
27. The Assessment of Hydrologic- and Flood-Induced Land Deformation in Data-Sparse Regions Using GRACE/GRACE-FO Data Assimilation N. Tangdamrongsub & M. Šprlák https://doi.org/10.3390/rs13020235
28. Constraining Conceptual Hydrological Models With Multiple Information Sources R. Nijzink et al. https://doi.org/10.1029/2017WR021895
29. The application of multi-mission satellite data assimilation for studying water storage changes over South America M. Khaki & J. Awange https://doi.org/10.1016/j.scitotenv.2018.08.079
30. Assimilating GRACE Into a Land Surface Model in the Presence of an Irrigation‐Induced Groundwater Trend W. Nie et al. https://doi.org/10.1029/2019WR025363
31. Improving the Spatial Resolution of GRACE-Derived Ice Sheet Mass Change in Antarctica Z. Shi et al. https://doi.org/10.1109/TGRS.2024.3511944
32. Hydrometeorological Extreme Events in West Africa: Droughts P. Dibi-Anoh et al. https://doi.org/10.1007/s10712-022-09748-7
33. Performance of Different Ensemble Kalman Filter Structures to Assimilate GRACE Terrestrial Water Storage Estimates Into a High‐Resolution Hydrological Model: A Synthetic Study A. Shokri et al. https://doi.org/10.1029/2018WR022785
34. NCA-LDAS Land Analysis: Development and Performance of a Multisensor, Multivariate Land Data Assimilation System for the National Climate Assessment S. Kumar et al. https://doi.org/10.1175/JHM-D-17-0125.1
35. Multivariate data assimilation of GRACE, SMOS, SMAP measurements for improved regional soil moisture and groundwater storage estimates N. Tangdamrongsub et al. https://doi.org/10.1016/j.advwatres.2019.103477
36. Temporal Evolution of Regional Drought Detected from GRACE TWSA and CCI SM in Yunnan Province, China S. Ma et al. https://doi.org/10.3390/rs9111124
37. Review of GRACE remote sensing applications for groundwater monitoring in water-scarce regions R. Nenweli et al. https://doi.org/10.1016/j.gsd.2026.101608
38. Global GRACE Data Assimilation for Groundwater and Drought Monitoring: Advances and Challenges B. Li et al. https://doi.org/10.1029/2018WR024618
39. Improved large-scale hydrological modelling through the assimilation of streamflow and downscaled satellite soil moisture observations P. López López et al. https://doi.org/10.5194/hess-20-3059-2016
40. SHADE: A MATLAB toolbox and graphical user interface for the empirical de-correlation of GRACE monthly solutions D. Piretzidis & M. Sideris https://doi.org/10.1016/j.cageo.2018.06.012
41. 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. https://doi.org/10.1029/2019WR026551
42. Improving estimates of water resources in a semi-arid region by assimilating GRACE data into the PCR-GLOBWB hydrological model N. Tangdamrongsub et al. https://doi.org/10.5194/hess-21-2053-2017
43. Streamflow simulations for the extreme drought event of 2018 on the Rhine River Basin using WRF-Hydro A. Campoverde et al. https://doi.org/10.1080/15715124.2025.2581608
44. Evidence of daily hydrological loading in GPS time series over Europe A. Springer et al. https://doi.org/10.1007/s00190-019-01295-1
45. From coarse resolution to practical solution: GRACE as a science communication and policymaking tool for sustainable groundwater management L. Xu et al. https://doi.org/10.1016/j.jhydrol.2023.129845
46. Evaluation of Groundwater Storage Variations Estimated from GRACE Data Assimilation and State-of-the-Art Land Surface Models in Australia and the North China Plain N. Tangdamrongsub et al. https://doi.org/10.3390/rs10030483
47. Improved water storage estimates within the North China Plain by assimilating GRACE data into the CABLE model W. Yin et al. https://doi.org/10.1016/j.jhydrol.2020.125348
48. Evaluating the hydrological impacts of wetland restoration in a Dutch small catchment under future climate scenarios using SWAT+ P. Chotemankongsin et al. https://doi.org/10.1007/s40808-026-02867-9
49. Hydrological mass variations in the Nile River Basin from GRACE and hydrological models M. Abd-Elbaky & S. Jin https://doi.org/10.1016/j.geog.2019.07.004
50. A study of Bangladesh's sub-surface water storages using satellite products and data assimilation scheme M. Khaki et al. https://doi.org/10.1016/j.scitotenv.2017.12.289
51. Reconstructing Long-Term, High-Resolution Groundwater Storage Changes in the Songhua River Basin Using Supplemented GRACE and GRACE-FO Data C. Liu et al. https://doi.org/10.3390/rs16234566
52. Advances in GRACE satellite studies on terrestrial water storage: a comprehensive review J. Karki et al. https://doi.org/10.1080/10106049.2025.2482706
53. Accounting for spatial correlation errors in the assimilation of GRACE into hydrological models through localization M. Khaki et al. https://doi.org/10.1016/j.advwatres.2017.07.024
54. The Role of Satellite-Based Remote Sensing in Improving Simulated Streamflow: A Review D. Jiang & K. Wang https://doi.org/10.3390/w11081615
55. A systematic impact assessment of GRACE error correlation on data assimilation in hydrological models M. Schumacher et al. https://doi.org/10.1007/s00190-016-0892-y
56. Development and evaluation of 0.05° terrestrial water storage estimates using Community Atmosphere Biosphere Land Exchange (CABLE) land surface model and assimilation of GRACE data N. Tangdamrongsub et al. https://doi.org/10.5194/hess-25-4185-2021
57. Reconstructing Terrestrial Water Storage Variations from 1980 to 2015 in the Beishan Area of China W. Yin et al. https://doi.org/10.1155/2019/3874742
58. Efficient treatment of climate data uncertainty in ensemble Kalman filter (EnKF) based on an existing historical climate ensemble dataset H. Liu et al. https://doi.org/10.1016/j.jhydrol.2018.11.047
59. Water Budget Analysis within the Surrounding of Prominent Lakes and Reservoirs from Multi-Sensor Earth Observation Data and Hydrological Models: Case Studies of the Aral Sea and Lake Mead A. Singh et al. https://doi.org/10.3390/rs8110953
60. GRACE-Based Terrestrial Water Storage in Northwest China: Changes and Causes Y. Xie et al. https://doi.org/10.3390/rs10071163
61. Improvement of soil moisture and groundwater level estimations using a scale‐consistent river parameterization for the coupled ParFlow-CLM hydrological model: A case study of the Upper Rhine Basin S. Soltani et al. https://doi.org/10.1016/j.jhydrol.2022.127991
62. Use of auxiliary data of topography, snow and ice to improve model performance in a glacier-dominated catchment in Central Asia H. Gao et al. https://doi.org/10.2166/nh.2016.242
63. Review of assimilating GRACE terrestrial water storage data into hydrological models: Advances, challenges and opportunities S. Soltani et al. https://doi.org/10.1016/j.earscirev.2020.103487
64. A two-update ensemble Kalman filter for land hydrological data assimilation with an uncertain constraint M. Khaki et al. https://doi.org/10.1016/j.jhydrol.2017.10.032
65. Monitoring and Forecasting the Impact of the 2018 Summer Heatwave on Vegetation C. Albergel et al. https://doi.org/10.3390/rs11050520
66. Application of Remote Sensing Data to Constrain Operational Rainfall-Driven Flood Forecasting: A Review Y. Li et al. https://doi.org/10.3390/rs8060456
67. The evolution of process-based hydrologic models: historical challenges and the collective quest for physical realism M. Clark et al. https://doi.org/10.5194/hess-21-3427-2017
68. Assimilation of gridded terrestrial water storage observations from GRACE into a land surface model M. Girotto et al. https://doi.org/10.1002/2015WR018417
69. The global land water storage data set release 2 (GLWS2.0) derived via assimilating GRACE and GRACE-FO data into a global hydrological model H. Gerdener et al. https://doi.org/10.1007/s00190-023-01763-9