33 citations as recorded by crossref.

1. Multi-mission satellite remote sensing data for improving land hydrological models via data assimilation M. Khaki et al.
2. Terrestrial water storage changes over Xinjiang extracted by combining Gaussian filter and multichannel singular spectrum analysis from GRACE J. Guo et al.
3. Multi-scale modeling of Earth's gravity field in space and time S. Wang et al.
4. The spatio-temporal variability of groundwater storage in the Amazon River Basin F. Frappart et al.
5. Analysis of the spatio-temporal variability of terrestrial water storage in the Great Artesian Basin, Australia J. Yan et al.
6. Estimation of GRACE water storage components by temporal decomposition R. Andrew et al.
7. Response of terrestrial water storage and its change to climate change in the endorheic Tibetan Plateau L. Wang et al.
8. Quantification of groundwater resource of Kandi subdivision of Murshidabad district, West Bengal M. Chowdhury & P. Paul
9. Estimation of quantitative measures of total water storage variation from GRACE and GLDAS-NOAH satellites using geospatial technology A. Singh et al.
10. Investigation of Short-Term Evolution of Soil Characteristics over the Lake Chad Basin Using GRACE Data T. Lopez et al.
11. Satellite-derived GRACE groundwater storage variation in complex aquifer system in India L. Singh & S. Saravanan
12. Application of the Regional Water Mass Variations from GRACE Satellite Gravimetry to Large-Scale Water Management in Africa G. Ramillien et al.
13. Efficient basin scale filtering of GRACE satellite products M. Khaki et al.
14. Calibrating land hydrological models and enhancing their forecasting skills using an ensemble Kalman filter with one-step-ahead smoothing M. Khaki et al.
15. Temporal/Spatial Variation of Terrestrial Water Storage and Groundwater Storage in Typical Inland River Basins of Central Asia Y. Lyu et al.
16. Basin-scale terrestrial water storage changes inferred from GRACE-based geopotential differences: a case study of the Yangtze River Basin, China B. Zhong et al.
17. Assimilation of GRACE Follow‐On Inter‐Satellite Laser Ranging Measurements Into Land Surface Models M. Khaki et al.
18. Monitoring Groundwater Storage Changes Using the Gravity Recovery and Climate Experiment (GRACE) Satellite Mission: A Review F. Frappart & G. Ramillien
19. Accounting for spatial correlation errors in the assimilation of GRACE into hydrological models through localization M. Khaki et al.
20. Improved multichannel singular spectrum analysis for post-processing GRACE monthly gravity field models F. Wang et al.
21. Understanding the global hydrological droughts of 2003–2016 and their relationships with teleconnections E. Forootan et al.
22. A two-update ensemble Kalman filter for land hydrological data assimilation with an uncertain constraint M. Khaki et al.
23. Terrestrial Water Storage in China: Spatiotemporal Pattern and Driving Factors Q. Huang et al.
24. Nonparametric Data Assimilation Scheme for Land Hydrological Applications M. Khaki et al.
25. Assessing sequential data assimilation techniques for integrating GRACE data into a hydrological model M. Khaki et al.
26. Data-adaptive spatio-temporal filtering of GRACE data P. Prevost et al.
27. Changing characteristics of ecosystem and water storage under the background of warming and humidification in the Qilian Mountains, China B. Bai et al.
28. Use of remote sensing and long-term in-situ time-series data in an integrated hydrological model of the Central Kalahari Basin, Southern Africa M. Lekula & M. Lubczynski
29. Quantifying the impacts of ENSO and IOD on rain gauge and remotely sensed precipitation products over Australia E. Forootan et al.
30. Mapping probabilities of extreme continental water storage changes from space gravimetry J. Kusche et al.
31. Unsupervised ensemble Kalman filtering with an uncertain constraint for land hydrological data assimilation M. Khaki et al.
32. Sequential estimation of surface water mass changes from daily satellite gravimetry data G. Ramillien et al.
33. Assessing data assimilation frameworks for using multi-mission satellite products in a hydrological context M. Khaki et al.