63 citations as recorded by crossref.

1. Improving the realism of hydrologic model functioning through multivariate parameter estimation O. Rakovec et al. 10.1002/2016WR019430
2. Glacier melt buffers river runoff in the Pamir Mountains E. Pohl et al. 10.1002/2016WR019431
3. How realistic are multi-decadal reconstructions of GRACE-like total water storage anomalies? C. Hacker & J. Kusche 10.1016/j.jhydrol.2024.132180
4. 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 10.3390/s21134304
5. Data assimilation of satellite-based terrestrial water storage changes into a hydrology land-surface model A. Bahrami et al. 10.1016/j.jhydrol.2020.125744
6. Improving the resolution of GRACE-based water storage estimates based on machine learning downscaling schemes W. Yin et al. 10.1016/j.jhydrol.2022.128447
7. 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. 10.1016/j.scitotenv.2023.168239
8. Multi-sensor assimilation of SMOS brightness temperature and GRACE terrestrial water storage observations for soil moisture and shallow groundwater estimation M. Girotto et al. 10.1016/j.rse.2019.04.001
9. 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. 10.1016/j.scitotenv.2022.156567
10. Improved water balance component estimates through joint assimilation of GRACE water storage and SMOS soil moisture retrievals S. Tian et al. 10.1002/2016WR019641
11. Global joint assimilation of GRACE and SMOS for improved estimation of root-zone soil moisture and vegetation response S. Tian et al. 10.5194/hess-23-1067-2019
12. Assimilating multivariate remote sensing data into a fully coupled subsurface-land surface hydrological model S. Sadat Soltani et al. 10.1016/j.jhydrol.2024.131812
13. Spatial and Temporal Variations of Terrestrial Water Storage in Upper Indus Basin Using GRACE and Altimetry Data D. Hussain et al. 10.1109/ACCESS.2020.2984794
14. Assessing sequential data assimilation techniques for integrating GRACE data into a hydrological model M. Khaki et al. 10.1016/j.advwatres.2017.07.001
15. Nonparametric Data Assimilation Scheme for Land Hydrological Applications M. Khaki et al. 10.1029/2018WR022854
16. Radar Altimetry as a Proxy for Determining Terrestrial Water Storage Variability in Tropical Basins D. Melo & A. Getirana 10.3390/rs11212487
17. 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. 10.5194/hess-22-1811-2018
18. 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. 10.1016/j.jhydrol.2022.127799
19. Using Satellite-Based Terrestrial Water Storage Data: A Review V. Humphrey et al. 10.1007/s10712-022-09754-9
20. Inter‐Basin Water Transfer Effectively Compensates for Regional Unsustainable Water Use J. Dong et al. 10.1029/2023WR035129
21. Water cycle science enabled by the GRACE and GRACE-FO satellite missions M. Rodell & J. Reager 10.1038/s44221-022-00005-0
22. Influences of recent climate change and human activities on water storage variations in Central Asia H. Deng & Y. Chen 10.1016/j.jhydrol.2016.11.006
23. The Assessment of Hydrologic- and Flood-Induced Land Deformation in Data-Sparse Regions Using GRACE/GRACE-FO Data Assimilation N. Tangdamrongsub & M. Šprlák 10.3390/rs13020235
24. Constraining Conceptual Hydrological Models With Multiple Information Sources R. Nijzink et al. 10.1029/2017WR021895
25. The application of multi-mission satellite data assimilation for studying water storage changes over South America M. Khaki & J. Awange 10.1016/j.scitotenv.2018.08.079
26. Assimilating GRACE Into a Land Surface Model in the Presence of an Irrigation‐Induced Groundwater Trend W. Nie et al. 10.1029/2019WR025363
27. Improving the Spatial Resolution of GRACE-Derived Ice Sheet Mass Change in Antarctica Z. Shi et al. 10.1109/TGRS.2024.3511944
28. Hydrometeorological Extreme Events in West Africa: Droughts P. Dibi-Anoh et al. 10.1007/s10712-022-09748-7
29. 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. 10.1029/2018WR022785
30. NCA-LDAS Land Analysis: Development and Performance of a Multisensor, Multivariate Land Data Assimilation System for the National Climate Assessment S. Kumar et al. 10.1175/JHM-D-17-0125.1
31. Multivariate data assimilation of GRACE, SMOS, SMAP measurements for improved regional soil moisture and groundwater storage estimates N. Tangdamrongsub et al. 10.1016/j.advwatres.2019.103477
32. Temporal Evolution of Regional Drought Detected from GRACE TWSA and CCI SM in Yunnan Province, China S. Ma et al. 10.3390/rs9111124
33. Global GRACE Data Assimilation for Groundwater and Drought Monitoring: Advances and Challenges B. Li et al. 10.1029/2018WR024618
34. Improved large-scale hydrological modelling through the assimilation of streamflow and downscaled satellite soil moisture observations P. López López et al. 10.5194/hess-20-3059-2016
35. SHADE: A MATLAB toolbox and graphical user interface for the empirical de-correlation of GRACE monthly solutions D. Piretzidis & M. Sideris 10.1016/j.cageo.2018.06.012
36. 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
37. Improving estimates of water resources in a semi-arid region by assimilating GRACE data into the PCR-GLOBWB hydrological model N. Tangdamrongsub et al. 10.5194/hess-21-2053-2017
38. Evidence of daily hydrological loading in GPS time series over Europe A. Springer et al. 10.1007/s00190-019-01295-1
39. From coarse resolution to practical solution: GRACE as a science communication and policymaking tool for sustainable groundwater management L. Xu et al. 10.1016/j.jhydrol.2023.129845
40. 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. 10.3390/rs10030483
41. Improved water storage estimates within the North China Plain by assimilating GRACE data into the CABLE model W. Yin et al. 10.1016/j.jhydrol.2020.125348
42. Hydrological mass variations in the Nile River Basin from GRACE and hydrological models M. Abd-Elbaky & S. Jin 10.1016/j.geog.2019.07.004
43. A study of Bangladesh's sub-surface water storages using satellite products and data assimilation scheme M. Khaki et al. 10.1016/j.scitotenv.2017.12.289
44. Reconstructing Long-Term, High-Resolution Groundwater Storage Changes in the Songhua River Basin Using Supplemented GRACE and GRACE-FO Data C. Liu et al. 10.3390/rs16234566
45. Accounting for spatial correlation errors in the assimilation of GRACE into hydrological models through localization M. Khaki et al. 10.1016/j.advwatres.2017.07.024
46. The Role of Satellite-Based Remote Sensing in Improving Simulated Streamflow: A Review D. Jiang & K. Wang 10.3390/w11081615
47. A systematic impact assessment of GRACE error correlation on data assimilation in hydrological models M. Schumacher et al. 10.1007/s00190-016-0892-y
48. 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. 10.5194/hess-25-4185-2021
49. Reconstructing Terrestrial Water Storage Variations from 1980 to 2015 in the Beishan Area of China W. Yin et al. 10.1155/2019/3874742
50. Efficient treatment of climate data uncertainty in ensemble Kalman filter (EnKF) based on an existing historical climate ensemble dataset H. Liu et al. 10.1016/j.jhydrol.2018.11.047
51. 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. 10.3390/rs8110953
52. GRACE-Based Terrestrial Water Storage in Northwest China: Changes and Causes Y. Xie et al. 10.3390/rs10071163
53. 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. 10.1016/j.jhydrol.2022.127991
54. 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. 10.2166/nh.2016.242
55. Review of assimilating GRACE terrestrial water storage data into hydrological models: Advances, challenges and opportunities S. Soltani et al. 10.1016/j.earscirev.2020.103487
56. A two-update ensemble Kalman filter for land hydrological data assimilation with an uncertain constraint M. Khaki et al. 10.1016/j.jhydrol.2017.10.032
57. Monitoring and Forecasting the Impact of the 2018 Summer Heatwave on Vegetation C. Albergel et al. 10.3390/rs11050520
58. Application of Remote Sensing Data to Constrain Operational Rainfall-Driven Flood Forecasting: A Review Y. Li et al. 10.3390/rs8060456
59. The evolution of process-based hydrologic models: historical challenges and the collective quest for physical realism M. Clark et al. 10.5194/hess-21-3427-2017
60. Assimilation of gridded terrestrial water storage observations from GRACE into a land surface model M. Girotto et al. 10.1002/2015WR018417
61. 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. 10.1007/s00190-023-01763-9
62. Seasonal and Interannual Variations in China’s Groundwater Based on GRACE Data and Multisource Hydrological Models J. Zhang et al. 10.3390/rs12050845
63. Catchment water storage variation with elevation M. Staudinger et al. 10.1002/hyp.11158