339 citations as recorded by crossref.

1. Improving river routing algorithms to efficiently implement canal water diversion schemes in global hydrological models N. Yoden et al. https://doi.org/10.3178/hrl.18.7
2. A prototype hyper-resolution groundwater digital twin for the contiguous United States: integrating physics-based modeling, machine learning, and observations Y. Ma et al. https://doi.org/10.1016/j.jhydrol.2026.135189
3. Attribution analysis of interannual variability and long-term trends in the Yellow River runoff across the Jiziwan region during 1960–2022 S. Zhang et al. https://doi.org/10.1016/j.ejrh.2025.102727
4. Runoff Dynamics and Its Regime Changes in the Major River Basins of Africa From GRACE and GRACE-FO Observations A. Elameen et al. https://doi.org/10.1109/JSTARS.2025.3601672
5. Impacts of spatially inconsistent permafrost degradation on streamflow in the Lena River Basin Z. Xue et al. https://doi.org/10.1007/s11431-023-2757-2
6. A deep learning model for reconstructing centenary water storage changes in the Yangtze River Basin J. Wang et al. https://doi.org/10.1016/j.scitotenv.2023.167030
7. Global hydro-environmental lake characteristics at high spatial resolution B. Lehner et al. https://doi.org/10.1038/s41597-022-01425-z
8. Present‐Day Motion of the Arabian Plate R. Viltres et al. https://doi.org/10.1029/2021TC007013
9. WITHDRAWN: Runoff variations and governing factors in transboundary basins through multisource data and water budget during 2003-2021 S. Chauhan & . Abhishek https://doi.org/10.1016/j.htopen.2026.100009
10. Using hydrological modeling and satellite observations to elucidate subsurface and surface hydrological responses to the extreme drought Z. Tang et al. https://doi.org/10.1016/j.jhydrol.2024.132174
11. A shift from cattle to camel and goat farming can sustain milk production with lower inputs and emissions in north sub-Saharan Africa’s drylands J. Rahimi et al. https://doi.org/10.1038/s43016-022-00543-6
12. Revising precipitation – water storages – vegetation signatures with GRACE-based data assimilation H. Gerdener et al. https://doi.org/10.1016/j.jhydrol.2022.128096
13. Decadal prediction of terrestrial water storage and sea-level change using physics-informed neural networks M. Shahvandi https://doi.org/10.1016/j.geog.2026.07.002
14. How well do the multi-satellite and atmospheric reanalysis products perform in hydrological modelling L. Gu et al. https://doi.org/10.1016/j.jhydrol.2022.128920
15. Decomposition-based reconstruction scheme for GRACE data with irregular temporal intervals Z. Yuan & X. Chen https://doi.org/10.1016/j.jhydrol.2025.134011
16. Reconstruction of GRACE terrestrial water storage anomalies using Multi-Layer Perceptrons for South Indian River basins K. Satish Kumar et al. https://doi.org/10.1016/j.scitotenv.2022.159289
17. Groundwater-dependent ecosystems at risk – global hotspot analysis and implications A. Link et al. https://doi.org/10.1088/1748-9326/acea97
18. Participatory Bayesian Network modeling of climate change risks and adaptation regarding water supply: Integration of multi-model ensemble hazard estimates and local expert knowledge F. Kneier et al. https://doi.org/10.1016/j.envsoft.2023.105764
19. Understanding the shift in drivers of terrestrial water storage decline in the central Inner Mongolian steppe over the past two decades X. Zhang et al. https://doi.org/10.1016/j.jhydrol.2024.131312
20. Majority of global river flow sustained by groundwater J. Xie et al. https://doi.org/10.1038/s41561-024-01483-5
21. A Signal-to-Noise Ratio Filter by Incorporating Spectral Characteristics of Temporal Gravity Field Signals and Varying GRACE Observation Conditions J. Xuan et al. https://doi.org/10.1109/TGRS.2025.3637084
22. Global evapotranspiration models and their performance at different spatial scales: Contrasting a latitudinal gradient against global catchments I. Fuentes et al. https://doi.org/10.1016/j.jhydrol.2023.130477
23. Focused groundwater recharge in a tropical dryland: Empirical evidence from central, semi-arid Tanzania D. Seddon et al. https://doi.org/10.1016/j.ejrh.2021.100919
24. Spatio-Temporal Changes of Terrestrial Water Storage in Five Provinces of Northwest China from 2002 to 2022 and Their Driving Factors A. Li et al. https://doi.org/10.3390/w17101417
25. Unravelling soil moisture uncertainties in GRACE groundwater modelling I. Kalu et al. https://doi.org/10.1016/j.jhydrol.2024.132489
26. Study on the Available Amounts of Rainwater/ Stormwater Resources in Ungauged Basin in Semi-Arid Region of the Loess Plateau Y. Gao et al. https://doi.org/10.15244/pjoes/187598
27. Assessing Mississippi embayment and coastal lowlands aquifer systems by groundwater stress index and regional groundwater model S. Yang et al. https://doi.org/10.1016/j.jhydrol.2025.133201
28. High-resolution daily reservoir area mapping from MODIS reflectance and Landsat occurrence via a segmentation-regression framework Z. Hao et al. https://doi.org/10.1016/j.jhydrol.2025.134031
29. Insights into hydrological compound dry-hot features using GNSS/GRACE-derived terrestrial water storage and land surface temperature X. Yang et al. https://doi.org/10.1016/j.jhydrol.2026.135596
30. Annual runoff coefficient variation in a changing environment: a global perspective J. Xiong et al. https://doi.org/10.1088/1748-9326/ac62ad
31. Identifying drivers of storage dynamics of lakes and reservoirs in the arid Central Asia G. Zhao et al. https://doi.org/10.1088/1748-9326/ad975b
32. Challenges in applying water budget framework for estimating groundwater storage changes from GRACE observations M. Akl & B. Thomas https://doi.org/10.1016/j.jhydrol.2024.131600
33. The benefits and trade-offs of multi-variable calibration of the WaterGAP global hydrological model (WGHM) in the Ganges and Brahmaputra basins H. Hasan et al. https://doi.org/10.5194/hess-29-567-2025
34. Excitation of polar motion by terrestrial water storage: a reappraisal using the WaterGAP hydrological model M. Kiani Shahvandi et al. https://doi.org/10.1007/s00190-026-02060-x
35. Multi-model ensemble machine learning-based downscaling and projection of GRACE data reveals groundwater decline in Saudi Arabia throughout the 21st century A. Arshad et al. https://doi.org/10.1016/j.ejrh.2025.102552
36. Comparison of groundwater storage changes over losing and gaining aquifers of China using GRACE satellites, modeling and in-situ observations J. Yang et al. https://doi.org/10.1016/j.scitotenv.2024.173514
37. Quantifying Multi-Source Uncertainties in GRACE-Based Estimates of Groundwater Storage Changes in Mainland China Q. Li et al. https://doi.org/10.3390/rs15112744
38. Streamflow projections in response to LULC changes and climate change scenarios using HEC-HMS and identified most efficient CMIP6 data G. Sahu & V. Vidyarthi https://doi.org/10.1007/s11600-025-01657-8
39. Development of a global 5 arcmin groundwater model (H08-GMv1.0): model setup and steady-state simulation Q. He et al. https://doi.org/10.5194/gmd-18-9653-2025
40. Local and Indirect Water Scarcity Risks Under Climate Change in the Yellow River Basin: A Virtual Water Flow Perspective Y. Zhang et al. https://doi.org/10.3390/w17040543
41. Benchmarking global hydrological and land surface models against GRACE in a medium-sized tropical basin S. Bolaños Chavarría et al. https://doi.org/10.5194/hess-26-4323-2022
42. Improved hydropower simulation for China based on a newly developed hydropower database J. Zhou et al. https://doi.org/10.1016/j.jhydrol.2025.133022
43. Global groundwater modeling: Proof-of-concept of 3D variably saturated flow simulation at kilometer resolution S. Kollet et al. https://doi.org/10.1016/j.hydroa.2025.100213
44. Focused groundwater recharge is controlled by landscape and climate S. Lee et al. https://doi.org/10.1038/s43247-025-03063-w
45. Coupling a global glacier model to a global hydrological model prevents underestimation of glacier runoff P. Wiersma et al. https://doi.org/10.5194/hess-26-5971-2022
46. Intensified water scarcity in the Asian Water Tower driven by increased water withdrawals Y. Wang et al. https://doi.org/10.1016/j.ejrh.2025.102795
47. Comparison of physical and data-driven models to forecast groundwater level changes with the inclusion of GRACE – A case study over the state of Victoria, Australia W. Yin et al. https://doi.org/10.1016/j.jhydrol.2021.126735
48. Emerging global freshwater challenges unveiled through observation-constrained projections F. Huo et al. https://doi.org/10.5194/esd-17-291-2026
49. Alleviating water scarcity by optimizing crop mixes B. Richter et al. https://doi.org/10.1038/s44221-023-00155-9
50. Study on the Impact of Vegetation Restoration on Groundwater Resources in Tianshan Mountain and Yili Valley in Xinjiang, China X. Chen et al. https://doi.org/10.3390/w16050696
51. Analysis of Groundwater Storage at The Local Scale in the Missan Region, Iraq, Based on GRACE Satellite and Well Data H. Mohammed et al. https://doi.org/10.3390/geosciences15030091
52. Spatiotemporal Analysis of Groundwater Storage Changes, Controlling Factors, and Management Options over the Transboundary Indus Basin K. Mehmood et al. https://doi.org/10.3390/w14203254
53. Jointly estimating recharge and groundwater withdrawals of the NWSAS by inverting GRACE/GRACE-FO gravity data N. Benaraba et al. https://doi.org/10.1080/02626667.2022.2137416
54. Interaction of climate and vegetation on the spatial distribution of rainfall-induced groundwater recharge in the Central Gangetic Plain A. Karunakalage et al. https://doi.org/10.1016/j.jhydrol.2025.132758
55. Evaluating future water security in the upper Yangtze River Basin under a changing environment H. Liang et al. https://doi.org/10.1016/j.scitotenv.2023.164101
56. Spatial-temporal variations of groundwater storage in China: A multiscale analysis based on GRACE data K. Zhao et al. https://doi.org/10.1016/j.resconrec.2023.107088
57. Understanding Terrestrial Water Storage Changes Derived from the GRACE/GRACE-FO in the Inner Niger Delta in West Africa F. Fatolazadeh & K. Goïta https://doi.org/10.3390/w17081121
58. 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
59. A controlled model experiment for the global hydrological model WaterGAP3: Understanding recent and new advances in the model structure J. Kupzig & M. Flörke https://doi.org/10.1016/j.envsoft.2025.106703
60. Downscaling WGHM-Based Groundwater Storage Using Random Forest Method: A Regional Study over Qazvin Plain, Iran S. Dastjerdi et al. https://doi.org/10.3390/hydrology9100179
61. Graphical representation of global water models H. Müller Schmied et al. https://doi.org/10.5194/gmd-18-2409-2025
62. Similarities and divergent patterns in hydrologic fluxes and storages simulated by global water models A. Tiwari et al. https://doi.org/10.1038/s44221-025-00435-6
63. Analysis of the dynamic characteristics and driving factors of groundwater reserves in the arid regions of northwest China Q. Lei et al. https://doi.org/10.1007/s10040-026-03016-3
64. Accuracy Evaluation of Multiple Runoff Products: A Case Study of the Middle Reaches of the Yellow River H. Cui & C. Huang https://doi.org/10.3390/w17030461
65. Assessment of the ParFlow–CLM CONUS 1.0 integrated hydrologic model: evaluation of hyper-resolution water balance components across the contiguous United States M. O'Neill et al. https://doi.org/10.5194/gmd-14-7223-2021
66. Temporal and Spatial Variation Analysis of Groundwater Stocks in Xinjiang Based on GRACE Data L. Duan et al. https://doi.org/10.3390/rs16050813
67. The Influence of ENSO on the Long‐Term Water Storage Anomalies in the Middle‐Lower Reaches of the Yangtze River Basin: Evaluation and Analysis X. Li et al. https://doi.org/10.1029/2023EA003007
68. Development and Validation of a Three‐Dimensional Variably Saturated Flow Model for Future Water Resource Assessment at a Global Scale—Targeting Saturated Groundwater Flow in Plains Y. Miura & K. Yoshimura https://doi.org/10.1029/2022MS003017
69. Downscaling and Gap-Filling GRACE-Based Terrestrial Water Storage Anomalies in the Qinghai–Tibet Plateau Using Deep Learning and Multi-Source Data J. Chen et al. https://doi.org/10.3390/rs17081333
70. Vertical bedrock shifts reveal summer water storage in Greenland ice sheet J. Ran et al. https://doi.org/10.1038/s41586-024-08096-3
71. Hybrid approach for estimating snow water equivalent in Siberian basins using GRACE and climate data H. Mohasseb & S. Yi https://doi.org/10.1016/j.jhydrol.2026.135483
72. Global Cropland Salinity Mapping Based on Random Forest Model Using Site-Specific Datasets Y. Zhang et al. https://doi.org/10.3390/agronomy16111054
73. Analyzing the informative value of alternative hazard indicators for monitoring drought hazard for human water supply and river ecosystems at the global scale C. Herbert & P. Döll https://doi.org/10.5194/nhess-23-2111-2023
74. Water Storage Variation and Its Possible Causes Detected by GRACE in the Volta River Basin R. Djessou et al. https://doi.org/10.3390/rs14215319
75. Analyzing the Impact of Streamflow Drought on Hydroelectricity Production: A Global‐Scale Study W. Wan et al. https://doi.org/10.1029/2020WR028087
76. Inclusion of flood diversion canal operation in the H08 hydrological model with a case study from the Chao Phraya River basin: model development and validation S. Padiyedath Gopalan et al. https://doi.org/10.5194/hess-26-2541-2022
77. HELGA: a global hydro-economic model of groundwater-fed irrigation from a farmer’s perspective S. Melo-León et al. https://doi.org/10.1088/1748-9326/ad8246
78. Introducing the Idea of Classifying Sets of Permanent GNSS Stations as Benchmarks for Hydrogeodesy A. Klos et al. https://doi.org/10.1029/2023JB026988
79. Inversion of Regional Groundwater Storage Changes Based on the Fusion of GNSS and GRACE Data: A Case Study of Shaanxi–Gansu–Ningxia W. Li et al. https://doi.org/10.3390/rs15020520
80. Assessing policy options for sustainable water use in India’s cereal production system V. Singh et al. https://doi.org/10.1088/1748-9326/acf9b6
81. Assessing long-term water storage dynamics in Afghanistan: An integrated approach using machine learning, hydrological models, and remote sensing A. Azizi et al. https://doi.org/10.1016/j.jenvman.2024.122901
82. Towards a Global Water Use Scarcity Risk Assessment Framework: Integration of Remote Sensing and Geospatial Datasets Y. Wang et al. https://doi.org/10.3390/rs17243999
83. Revisiting the global mean ocean mass budget over 2005–2020 A. Barnoud et al. https://doi.org/10.5194/os-19-321-2023
84. Interaction Modeling of Surface Water and Groundwater: An Evaluation of Current and Future Issues N. Khurshid et al. https://doi.org/10.1007/s41101-025-00360-5
85. Updating global energy balance based on the latest observations and reanalyses H. Cai & K. Wang https://doi.org/10.1360/TB-2022-0089
86. Weak asthenosphere beneath the Eurasian interior inferred from Aral Sea desiccation W. Fan et al. https://doi.org/10.1038/s41561-025-01664-w
87. Scale-invariant sensitivity for multi-purpose water reservoirs management with temporal scale-dependent modeling K. Ren et al. https://doi.org/10.1016/j.jenvman.2023.117862
88. State-of-the-art hydrological models and application of the HEC-HMS model: a review M. Sahu et al. https://doi.org/10.1007/s40808-023-01704-7
89. A Data-Driven Method for Enhancing Spatial Resolution in Estimating Terrestrial Water Storage Changes From Satellite Gravimetry W. Wang et al. https://doi.org/10.1109/LGRS.2024.3397816
90. Brick Kiln Emission Variability and Impact in Environment and Health S. Zangana & N. Yusof https://doi.org/10.48084/etasr.8598
91. Improved reference evapotranspiration methods for regional irrigation water demand estimation Q. Su et al. https://doi.org/10.1016/j.agwat.2022.107979
92. Enhancing the representation of water management in global hydrological models G. Abeshu et al. https://doi.org/10.5194/gmd-16-5449-2023
93. Irrigation in the Earth system S. McDermid et al. https://doi.org/10.1038/s43017-023-00438-5
94. Continuing Severe Water Shortage in the Water‐Receiving Area of the South‐To‐North Water Diversion Eastern Route Project From 2002 to 2020 Y. Xu et al. https://doi.org/10.1029/2022WR034365
95. Soil moisture and streamflow deficit anomaly index: an approach to quantify drought hazards by combining deficit and anomaly E. Popat & P. Döll https://doi.org/10.5194/nhess-21-1337-2021
96. Separation of earthquake and hydrology signals from GRACE satellites data via independent component analysis: a case study in the Sumatra region Y. Xiong et al. https://doi.org/10.1093/gji/ggae351
97. Scaling from global to regional river flow with global hydrological models: Choice matters T. Tu et al. https://doi.org/10.1016/j.jhydrol.2024.130960
98. A mutual information-based dual-layer attention framework for modelling human activity-driven runoff variation in arid basins Z. Li et al. https://doi.org/10.1080/02626667.2026.2685104
99. On the ability to study regional hydrometeorological changes using GPS and GRACE measurements A. Lenczuk et al. https://doi.org/10.1186/s40645-024-00665-4
100. Evaluation of Terrestrial Water Storage and Flux in North China by Using GRACE Combined Gravity Field Solutions and Hydrometeorological Models T. Feng et al. https://doi.org/10.3390/rs15102536
101. “Wrecking the rocks”: Continental weathering by groundwater W. Wood et al. https://doi.org/10.1130/G51571.1
102. Determination of irrigation water use from multiple soil moisture observations at a fine spatial resolution: Preferred model optimization and fusion strategy Q. Yan et al. https://doi.org/10.1016/j.agwat.2026.110232
103. Multi-source satellite reveals the heterogeneity in water storage change over northwestern China in recent decades Q. Liu et al. https://doi.org/10.1016/j.jhydrol.2023.129953
104. Development of a framework estimating regional gridded streamflow and actual evapotranspiration datasets: Fusing Budyko and water balance closure methods using remotely sensed ancillary data H. Barkhordari et al. https://doi.org/10.1016/j.jhydrol.2025.133456
105. A novel generative adversarial network and downscaling scheme for GRACE/GRACE-FO products: Exemplified by the Yangtze and Nile River Basins J. Wang et al. https://doi.org/10.1016/j.scitotenv.2025.178874
106. Runoff variations and governing factors in transboundary basins through multisource data and water budget during 2003–2021 S. Chauhan & . Abhishek https://doi.org/10.2166/h2oj.2026.062
107. Groundwater storage change and driving factor analysis in north china using independent component decomposition T. Feng et al. https://doi.org/10.1016/j.jhydrol.2022.127708
108. Future hydrological regime shifts and water security risks in Ethiopia's Awash River Basin: Ensemble CMIP6-driven SWAT+ simulations under SSP2-4.5 and SSP5-8.5 A. Legass et al. https://doi.org/10.1016/j.envc.2026.101523
109. Seasonal agricultural irrigation water deficit in northern China: pattern, trend and causality X. Li et al. https://doi.org/10.1007/s00271-025-01015-y
110. Appropriate spatiotemporal scale selection for water use simulation in China J. Zhang et al. https://doi.org/10.1016/j.jhydrol.2025.133502
111. Data centers: an emerging threat to freshwater biodiversity in the United States H. Jager & H. Yoon https://doi.org/10.1016/j.watbs.2026.100585
112. A decadal review of the CREST model family: Developments, applications, and outlook Z. Li et al. https://doi.org/10.1016/j.hydroa.2023.100159
113. Response Analysis of Terrestrial Water Storage Components to Drought Based on Random Forests During 2011–2020 in Yunnan, China Z. Zhu et al. https://doi.org/10.1109/JSTARS.2024.3507853
114. Land deformation and sinkhole occurrence in response to the fluctuations of groundwater storage: an integrated assessment of GRACE gravity measurements, ICESat/ICESat-2 altimetry data, and hydrologic models B. Khorrami et al. https://doi.org/10.1080/15481603.2021.2000349
115. Hydrologic Sensitivity of a Critical Turkish Watershed to Inform Water Resource Management in an Altered Climate F. Cevahir et al. https://doi.org/10.3390/hydrology11050064
116. Exploring the potential processes controlling changes in precipitation–runoff relationships in non-stationary environments T. Lan et al. https://doi.org/10.5194/hess-29-903-2025
117. Integration of the Global Water and Lake Sectors within the ISIMIP framework through scaling of streamflow inputs to lakes A. Ayala et al. https://doi.org/10.5194/gmd-19-41-2026
118. An advanced hydrological approach for the characterization of the Water Scarcity Footprint at the sub-basin level N. Renzi et al. https://doi.org/10.1016/j.scitotenv.2026.182012
119. Spatio-temporal patterns and drivers of irrigation water requirement in mainland China X. Shi & W. Zhu https://doi.org/10.1016/j.agwat.2024.109283
120. Characteristics of agricultural droughts in CMIP6 historical simulations and future projections L. Lindenlaub et al. https://doi.org/10.5194/esd-17-81-2026
121. The coupled hydrology–human activity information (CHHAI) dataset: a global benchmark dataset for model comparison and evaluation A. Boschee et al. https://doi.org/10.1080/02626667.2026.2663050
122. A multi-source approach to groundwater storage and recharge assessment in the Volta Basin S. Barbosa et al. https://doi.org/10.1016/j.scitotenv.2025.180421
123. The Intradecadal Periodic Signals in GPS Displacements and Their Possible Climate Change Influences H. Ding et al. https://doi.org/10.1007/s10712-024-09864-6
124. Investigating the Influence of Climate Seasonality on Glacier Mass Changes in High Mountain Asia via GRACE Observations S. Sherpa & S. Werth https://doi.org/10.1109/JSTARS.2025.3595165
125. Assessment of pluri-annual and decadal changes in terrestrial water storage predicted by global hydrological models in comparison with the GRACE satellite gravity mission J. Pfeffer et al. https://doi.org/10.5194/hess-27-3743-2023
126. Modeling and assessing the impacts of climate change on groundwater recharge in endorheic basins of Northwest China W. Cheng et al. https://doi.org/10.1016/j.scitotenv.2024.170829
127. The Extraction of Terrestrial Water Storage Anomaly from GRACE in the Region with Medium Scale and Adjacent Weak Signal Area: A Case for the Dnieper River Basin T. Zhang et al. https://doi.org/10.3390/rs16122124
128. Investigation of climate change impacts on agricultural production in Turkey using volumetric water footprint approach T. Pilevneli et al. https://doi.org/10.1016/j.spc.2022.12.013
129. Advancing water footprint assessments: Combining the impacts of water pollution and scarcity É. Pierrat et al. https://doi.org/10.1016/j.scitotenv.2023.161910
130. Isotope-derived young water fractions in streamflow across the tropical Andes mountains and Amazon floodplain E. Burt et al. https://doi.org/10.5194/hess-27-2883-2023
131. A scalable and modular reservoir implementation for large-scale integrated hydrologic simulations B. West et al. https://doi.org/10.5194/hess-29-245-2025
132. Environmental Sustainability of Bricks in an Emerging Economy: Current Environmental Hotspots and Mitigation Potentials for the Future K. Islam et al. https://doi.org/10.3390/su15065228
133. Separating climate and deep Earth signals in satellite gravimetry: a global assessment A. Saraswati et al. https://doi.org/10.1093/gji/ggag023
134. Spatio-temporal variations of terrestrial water storage in the five rivers of the Lake Poyang Basin and its impact on lake water volume during 1960-2019 Z. Yang et al. https://doi.org/10.18307/2024.0451
135. Grid-scale groundwater recharge modeling and the spatiotemporal variability under climate change on Gidabo catchment in Ethiopia T. Abraham et al. https://doi.org/10.1007/s00704-026-06385-7
136. Remote Sensing Data for Estimating Groundwater Recharge: A Systematic Review T. Ferreira & J. Cirilo https://doi.org/10.3390/su18041830
137. Reconciling model simulated and GRACE observed groundwater storage changes in Africa through coordinated forward modelling H. Li et al. https://doi.org/10.1016/j.jhydrol.2026.135856
138. Global Recharge Data Set Indicates Strengthened Groundwater Connection to Surface Fluxes W. Berghuijs et al. https://doi.org/10.1029/2022GL099010
139. Modeling groundwater and surface water interaction: An overview of current status and future challenges M. Ntona et al. https://doi.org/10.1016/j.scitotenv.2022.157355
140. Bridging the gap: a new module for human water use in the Community Earth System Model version 2.2.1 S. Taranu et al. https://doi.org/10.5194/gmd-17-7365-2024
141. Benefit of MAGIC and multipair quantum satellite gravity missions in Earth science applications J. Kusche et al. https://doi.org/10.1093/gji/ggaf195
142. Space-based natural and human-induced water storage change quantification M. Schumacher et al. https://doi.org/10.1038/s41598-025-01938-8
143. Satellite-Observed Arid Vegetation Greening and Terrestrial Water Storage Decline in the Hexi Corridor, Northwest China C. Cao et al. https://doi.org/10.3390/rs17081361
144. 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
145. Representation of a two-way coupled irrigation system in the Common Land Model S. Zhang et al. https://doi.org/10.5194/hess-29-3119-2025
146. Transboundary conflict from surface water scarcity under climate change R. Jiang et al. https://doi.org/10.1038/s41467-025-63568-y
147. Long-term hydro-economic analysis tool for evaluating global groundwater cost and supply: Superwell v1.1 H. Niazi et al. https://doi.org/10.5194/gmd-18-1737-2025
148. Assessment of Future Water Stress on Surface Waters in the West Kazakhstan Region Caused by the Combined Impacts of Climate Change and Increased Anthropogenic Pressure A. Tursunova et al. https://doi.org/10.3390/su172310699
149. Spatio-temporal variations in characteristics of terrestrial water storage and associated drought over different geographic regions of Türkiye B. Khorrami et al. https://doi.org/10.1007/s12145-022-00907-3
150. Leveraging multi-variable observations to reduce and quantify the output uncertainty of a global hydrological model: evaluation of three ensemble-based approaches for the Mississippi River basin P. Döll et al. https://doi.org/10.5194/hess-28-2259-2024
151. Dams for hydropower and irrigation: Trends, challenges, and alternatives R. Schmitt & L. Rosa https://doi.org/10.1016/j.rser.2024.114439
152. Global sea-level budget and ocean-mass budget, with a focus on advanced data products and uncertainty characterisation M. Horwath et al. https://doi.org/10.5194/essd-14-411-2022
153. An integrated biophysical-ecological assessment of embedded virtual water flows linked to Israel's consumption of agricultural crops S. Myburgh et al. https://doi.org/10.1016/j.scitotenv.2024.177195
154. Spatio – temporal hydrological cycle characteristics in the upper reaches of the Yangtze River: A multi-source remote sensing and machine learning perspective Y. Shi et al. https://doi.org/10.1016/j.ejrh.2026.103142
155. Historical and future water quality risks driven by climate change: Strategic management and overcoming challenges M. Kim et al. https://doi.org/10.1016/j.watres.2025.124774
156. Quantitative Assessment of the Water Stress in the Tigris–Euphrates River Basin Driven by Anthropogenic Impacts W. Luan et al. https://doi.org/10.3390/rs17040662
157. Assessing groundwater sustainability across high mountain Asia using remote sensing K. Liu et al. https://doi.org/10.1088/1748-9326/ae2e1b
158. A review of satellite-based monitoring of groundwater storage changes and depletion consequences L. PengZhen et al. https://doi.org/10.1088/1755-1315/1274/1/012004
159. Geodetic evidence of water mass loss from global navigation satellite system measured land uplift in Türkiye K. Ansari & E. Kayıkçı https://doi.org/10.1016/j.jhydrol.2026.135787
160. GDROM v2: An Inventory of Operation Variables Time Series and Rules for 2,017 Large Reservoirs across the CONUS Z. Zheng et al. https://doi.org/10.1038/s41597-025-06162-7
161. Satellites reveal contrasting seasonal buffering patterns of global lakes and reservoirs T. Chen et al. https://doi.org/10.1016/j.scib.2026.06.024
162. High-resolution groundwater storage anomalies in the Middle and Lower Yangtze River Basin of China using machine learning fusion of in-situ wells, satellite gravity and hydrological model L. Hu et al. https://doi.org/10.1016/j.jenvman.2025.124322
163. A New Approach for Assessing Groundwater Recharge by Combining GRACE and Baseflow With Case Studies in Karst Areas of Southwest China Z. Huang et al. https://doi.org/10.1029/2022WR032091
164. Human activities reshape the drought regime in the Yangtze River Basin: a land surface-hydrological modelling analysis with representations of dam operation and human water use H. Hao et al. https://doi.org/10.1007/s11069-023-06083-x
165. Evaluation of Terrestrial Water Storage Changes over China Based on GRACE Solutions and Water Balance Method M. Zhang et al. https://doi.org/10.3390/su141811658
166. Length of day variations caused by terrestrial water storage under climate change and direct human influence M. Kiani Shahvandi https://doi.org/10.1016/j.geog.2026.04.002
167. PyGLDA: a fine-scale python-based global land data assimilation system for integrating satellite gravity data into hydrological models F. Yang et al. https://doi.org/10.5194/gmd-18-6195-2025
168. The Global Dam Watch database of river barrier and reservoir information for large-scale applications B. Lehner et al. https://doi.org/10.1038/s41597-024-03752-9
169. Studying spatio-temporal patterns of vertical displacements caused by groundwater mass changes observed with GPS A. Lenczuk et al. https://doi.org/10.1016/j.rse.2023.113597
170. Observations indicate regionally misleading wetting and drying trends in CMIP6 L. Jensen et al. https://doi.org/10.1038/s41612-024-00788-x
171. Toward hyper-resolution global hydrological models including human activities: application to Kyushu island, Japan N. Hanasaki et al. https://doi.org/10.5194/hess-26-1953-2022
172. Disaggregating National Statistical Data to Assess the Sub-National SDG 6.4.2 Water Stress Indicator by Integrating Satellite Observations and Model Data J. Lu & L. Jia https://doi.org/10.3390/rs16101654
173. Examining ground and surface water changes in response to environmental variables, land use dynamics, and socioeconomic changes in Canada Y. Zhu et al. https://doi.org/10.1016/j.jenvman.2022.115875
174. A high-resolution, 3D groundwater-surface water simulation of the contiguous US: Advances in the integrated ParFlow CONUS 2.0 modeling platform C. Yang et al. https://doi.org/10.1016/j.jhydrol.2023.130294
175. The ISIMIP groundwater sector: a framework for ensemble modeling of global change impacts on groundwater R. Reinecke et al. https://doi.org/10.5194/gmd-19-523-2026
176. Addressing complex social-hydrogeological challenges through inter- and transdisciplinary knowledge co-production L. Söller et al. https://doi.org/10.1007/s10040-025-03002-1
177. High-Spatial Resolution Mascon Solution Over High Mountain Asia Constrained by Multisource Prior Information W. Wang et al. https://doi.org/10.1109/JSTARS.2024.3429328
178. GRACE/ML-based analysis of the spatiotemporal variations of groundwater storage in Africa K. Ding et al. https://doi.org/10.1016/j.jhydrol.2024.132336
179. Assessing and attributing flood potential in Brazil using GPS 3D deformation X. Yang et al. https://doi.org/10.1016/j.rse.2024.114535
180. Analysis of hydrological drought and TWS-related drivers in Yunnan Province Using GNSS-derived TWS, multi-source hydrological data and the XGBoost model Y. Su et al. https://doi.org/10.1016/j.ejrh.2026.103120
181. Groundwater recharge is sensitive to changing long-term aridity W. Berghuijs et al. https://doi.org/10.1038/s41558-024-01953-z
182. Rural vulnerability to water scarcity in Iran: an integrative methodology for evaluating exposure, sensitivity and adaptive capacity M. Zarepour Moshizi et al. https://doi.org/10.1007/s10708-022-10726-0
183. Contribution of vanishing mountain glaciers to global and regional terrestrial water storage changes X. Li et al. https://doi.org/10.3389/feart.2023.1134910
184. Exploring cumulative probability functions for streamflow drought magnitude: Global scale analysis and parametric vs. non-parametric comparisons E. Popat & A. Hartmann https://doi.org/10.1016/j.jhydrol.2024.131426
185. Global evaluation of the “dry gets drier, and wet gets wetter” paradigm from a terrestrial water storage change perspective J. Xiong et al. https://doi.org/10.5194/hess-26-6457-2022
186. Historical simulation performance evaluation and monthly flow duration curve quantile-mapping (MFDC-QM) of the GEOGLOWS ECMWF streamflow hydrologic model J. Sanchez Lozano et al. https://doi.org/10.1016/j.envsoft.2024.106235
187. Groundwater recharge from intense rainfall in Indonesia: evidence from East Kalimantan G. Andira Cahyarani Putri et al. https://doi.org/10.1080/02626667.2026.2644327
188. Comparing evaporation from water balance framework and multiple models on a global scale J. Xiong et al. https://doi.org/10.1016/j.jhydrol.2024.131924
189. Transitioning to healthy and sustainable diets has higher environmental and affordability trade-offs for emerging and developing economies Z. Deng et al. https://doi.org/10.1038/s41467-025-59275-3
190. Global Nitrogen Mass Flux From the Active Freshwater Aquifer Element Pool W. Wood et al. https://doi.org/10.1029/2023GB007878
191. The process and value of reprogramming a legacy global hydrological model E. Nyenah et al. https://doi.org/10.5194/gmd-18-5635-2025
192. A multi-objective comparative framework for Enhanced GRACE-Groundwater comparative analysis M. Akl et al. https://doi.org/10.1016/j.jhydrol.2025.134403
193. Investigating long-term terrestrial water storage change in the Volga River basin based on the extended triple collocation weighted fusion model L. Li et al. https://doi.org/10.1016/j.srs.2026.100422
194. Estimating groundwater volume loss using GRACE(FO) and InSAR observations for the subsiding area of Bandung Basin, Indonesia B. Bramanto et al. https://doi.org/10.1007/s11069-025-07632-2
195. ET-WB: water-balance-based estimations of terrestrial evaporation over global land and major global basins J. Xiong et al. https://doi.org/10.5194/essd-15-4571-2023
196. Review of Agriculture and Food Integrated Assessment Models P. Koundouri et al. https://doi.org/10.1017/S1062798725100586
197. Hydro-geodetic approach for predicting river runoff in ungauged basins using gravity and altimetry satellite data F. Touati et al. https://doi.org/10.1080/02626667.2025.2458541
198. The importance of vegetation in understanding terrestrial water storage variations T. Trautmann et al. https://doi.org/10.5194/hess-26-1089-2022
199. Enhancing water science in Earth’s second lung: AI-generated centenary hydrological insights from two decades of satellite data in the Congo Basin J. Awange & J. Wang https://doi.org/10.1016/j.srs.2026.100402
200. Analysis of mass flux variations in the southern Tibetan Plateau based on an improved spatial domain filtering approach for GRACE/GRACE-FO solutions L. Pu et al. https://doi.org/10.1080/01431161.2022.2099233
201. Double disaggregation of the decline of terrestrial water storage for a highly cultivated dryland partially covered by glaciers Z. Wang & S. Liu https://doi.org/10.1016/j.agwat.2024.109262
202. Can adaptations of crop and soil management prevent yield losses during water scarcity? A modeling study M. Heinz et al. https://doi.org/10.5194/hess-29-1807-2025
203. Incorporating plant access to groundwater in global root zone storage capacity estimate S. Du et al. https://doi.org/10.1016/j.agrformet.2025.110807
204. Quantification of sector-specific groundwater withdrawals considering water diversion projects in the Hebei Province, China J. Zou et al. https://doi.org/10.1016/j.ejrh.2024.101923
205. Delivering the latest global water resource simulation results to the public J. Boulange et al. https://doi.org/10.1016/j.cliser.2023.100386
206. Mapping the world's inland surface waters: an upgrade to the Global Lakes and Wetlands Database (GLWD v2) B. Lehner et al. https://doi.org/10.5194/essd-17-2277-2025
207. Understanding each other's models: an introduction and a standard representation of 16 global water models to support intercomparison, improvement, and communication C. Telteu et al. https://doi.org/10.5194/gmd-14-3843-2021
208. GCL-Mascon2024: a novel satellite gravimetry mascon solution using the short-arc approach Z. Yan et al. https://doi.org/10.5194/essd-17-4253-2025
209. Implications of phase information from GPS and GRACE(FO) for identifying GPS stations influenced by poroelastic deformation F. Lin et al. https://doi.org/10.1007/s00190-026-02031-2
210. Assessment of the Added Value of the GOCE GPS Data on the GRACE Monthly Gravity Field Solutions X. Guo et al. https://doi.org/10.3390/rs16091586
211. Land use and economic development influenced the hotspots of groundwater storage gains and losses in mainland China in the past 20 years Q. Zhang et al. https://doi.org/10.1016/j.jhydrol.2025.134280
212. Global subsidence of river deltas L. Ohenhen et al. https://doi.org/10.1038/s41586-025-09928-6
213. A Diagnostic Framework and Data Inventory to Analyze Human Intervention on Streamflow A. Vora & X. Cai https://doi.org/10.1029/2025WR041029
214. Spatio-temporal dynamics of water storage across Northwest China over the past four decades W. Cheng et al. https://doi.org/10.1016/j.ejrh.2023.101488
215. Identification of Drought Events in Major Basins of Africa from GRACE Total Water Storage and Modeled Products A. Elameen et al. https://doi.org/10.14358/PERS.22-00092R2
216. Towards parameter estimation in global hydrological models J. Kupzig et al. https://doi.org/10.1088/1748-9326/acdae8
217. Future climate impacts on biodiversity trends in major global rivers worldwide Q. Ma et al. https://doi.org/10.1016/j.ecofro.2025.12.018
218. Remote Sensed and/or Global Datasets for Distributed Hydrological Modelling: A Review M. Ali et al. https://doi.org/10.3390/rs15061642
219. Changes and drivers of long-term land evapotranspiration in the Yangtze River Basin: A water balance perspective H. Bai et al. https://doi.org/10.1016/j.jhydrol.2025.132763
220. Reconstructed centennial precipitation-driven water storage anomalies in the Nile River Basin using RecNet and their suitability for studying ENSO and IOD impacts J. Wang et al. https://doi.org/10.1016/j.jhydrol.2024.132272
221. Identifying determinants of groundwater storage using a geocomplexity-heterogeneity model X. Cao et al. https://doi.org/10.1080/10095020.2026.2662100
222. ASSESSMENT OF WATER DEMAND AND SUPPLY BALANCE IN TOKYO BY MODELLING ITS WATER DISTRIBUTION SYSTEM: STUDY ON WATER SUPPLY OF GLOBAL HYDROLOGICAL MODELS T. ODA et al. https://doi.org/10.2208/jscejj.23-16096
223. Impacts of climate change and human activities on global groundwater storage from 2003 to 2022 J. Zhang et al. https://doi.org/10.1016/j.jhydrol.2025.134298
224. Crop switching for water sustainability in India’s food bowl yields co-benefits for food security and farmers’ profits R. Chakraborti et al. https://doi.org/10.1038/s44221-023-00135-z
225. Assessing hydrological drought propagation through assimilation of GRACE for groundwater storage anomalies modelling in northeastern Mexico S. Arciniega-Esparza et al. https://doi.org/10.1016/j.jhydrol.2025.133826
226. Assessing Groundwater Sustainability in the Arabian Peninsula and Its Impact on Gravity Fields through Gravity Recovery and Climate Experiment Measurements H. Mohasseb et al. https://doi.org/10.3390/rs16081381
227. Deficiency and excess of groundwater iodine and their health associations R. Ma et al. https://doi.org/10.1038/s41467-022-35042-6
228. Assessment of terrestrial water storage variations and spatial heterogeneity across the Pearl River Basin: the influences of climatic change and human activities W. Pan et al. https://doi.org/10.2166/wcc.2026.738
229. A high-resolution time-variable terrestrial gravity field model of continental North China J. Han et al. https://doi.org/10.1038/s43247-024-01209-w
230. Carbonate rocks and karst water resources in the Mediterranean region J. Xanke et al. https://doi.org/10.1007/s10040-024-02810-1
231. Rooting depth projections of global plant functional types and driving factors analysis based on a hybrid modeling framework Q. Han et al. https://doi.org/10.1016/j.ecolind.2025.113674
232. Quantifying the time-varying period and time lag features of groundwater response: Dynamic impacts of precipitation-fed groundwater recharge X. Yin et al. https://doi.org/10.1016/j.ecolind.2025.113648
233. Extending a Large-Scale Model to Better Represent Water Resources without Increasing the Model’s Complexity R. Horan et al. https://doi.org/10.3390/w13213067
234. GEB v0.1: a large-scale agent-based socio-hydrological model – simulating 10 million individual farming households in a fully distributed hydrological model J. de Bruijn et al. https://doi.org/10.5194/gmd-16-2437-2023
235. Investigating Moho depth variations beneath the South American continent using geodetic constraints C. Wang et al. https://doi.org/10.1093/gji/ggaf374
236. Global estimates of groundwater withdrawal trends and uncertainties S. Nazari et al. https://doi.org/10.1088/1748-9326/adf6ca
237. Human Intervention Will Stabilize Groundwater Storage Across the North China Plain W. Yang et al. https://doi.org/10.1029/2021WR030884
238. 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
239. Exploring controls on precipitation-runoff dependencies: Implications for non-stationary and spatially heterogeneous analyses T. Lan et al. https://doi.org/10.1016/j.jhydrol.2025.133333
240. Identification of the terrestrial water storage change features in the North China Plain via independent component analysis P. Li et al. https://doi.org/10.1016/j.ejrh.2021.100955
241. Quantyfing the impact of the water security index on socio-economic development in EU27 M. Zlati et al. https://doi.org/10.1016/j.seps.2024.101912
242. Unprecedented continental drying, shrinking freshwater availability, and increasing land contributions to sea level rise H. Chandanpurkar et al. https://doi.org/10.1126/sciadv.adx0298
243. Significant contribution of the Tianshan lakes to their water storage and water resources Z. Wen et al. https://doi.org/10.1016/j.ejrh.2024.101813
244. CoSWAT Model v1: A high-resolution global SWAT+ hydrological model C. Chawanda et al. https://doi.org/10.5194/hess-29-6901-2025
245. Water-saving irrigated area expansion hardly enhances crop yield while saving water under climate scenarios in China Z. Yue et al. https://doi.org/10.1038/s43247-025-02279-0
246. Hydrometeorological Extreme Events in West Africa: Droughts P. Dibi-Anoh et al. https://doi.org/10.1007/s10712-022-09748-7
247. Higher-order internal modes of variability imprinted in year-to-year California streamflow changes S. Duan et al. https://doi.org/10.1038/s43247-024-01594-2
248. Factors Driving Spatial and Temporal Variations in Groundwater Storage Across China X. Lin et al. https://doi.org/10.2139/ssrn.4072243
249. Sustainable Water Infrastructure: Visions and Options for Sub-Saharan Africa H. George-Williams et al. https://doi.org/10.3390/su16041592
250. Recent advances of hydrogel in agriculture: Synthesis, mechanism, properties and applications C. Qin et al. https://doi.org/10.1016/j.eurpolymj.2024.113376
251. Analysis of Droughts and Floods Evolution and Teleconnection Factors in the Yangtze River Basin Based on GRACE/GFO R. Ren et al. https://doi.org/10.3390/rs17142344
252. A century of Sudd wetland’s water storage dynamics using reconstructed and downscaled GRACE/GRACE-FO Data D. Kudagama et al. https://doi.org/10.1016/j.srs.2025.100232
253. Quantification and possible causes of declining groundwater resources in the Euro-Mediterranean region from 2003 to 2020 J. Xanke & T. Liesch https://doi.org/10.1007/s10040-021-02448-3
254. Abyssal seafloor as a key driver of ocean trace-metal biogeochemical cycles J. Du et al. https://doi.org/10.1038/s41586-025-09038-3
255. Climate change dominates recent increase in streamflow in the Yellow River Basin Z. Huang et al. https://doi.org/10.1016/j.jhydrol.2025.133737
256. Unraveling Multiscale Spatiotemporal Linkages of Groundwater Storage and Land Deformation in the North China Plain After the South-to-North Water Diversion Project X. Wang et al. https://doi.org/10.3390/rs17193336
257. Incorporating Plant Access to Groundwater in Existing Global, Satellite‐Based Evaporation Estimates P. Hulsman et al. https://doi.org/10.1029/2022WR033731
258. Evaluating precipitation products for water resources hydrologic modeling over Germany S. Hammoudeh et al. https://doi.org/10.3389/feart.2025.1548557
259. Spatiotemporal variation analysis of groundwater storage in the southeastern mountainous region of China based on GRACE data X. Bu et al. https://doi.org/10.1016/j.geog.2025.10.002
260. Scale-dependent model-observation inconsistencies in global terrestrial water storage models G. Zhang et al. https://doi.org/10.1038/s43247-026-03327-z
261. Representing Human Water Management in a Land Surface Model Using a Supply/Demand Approach X. Zhou et al. https://doi.org/10.1029/2020WR028133
262. Hyper-resolution large-scale hydrological modelling benefits from improved process representation in mountain regions J. Janzing et al. https://doi.org/10.5194/hess-29-7041-2025
263. Reconstructing long-term natural flows by ensemble machine learning T. Tu et al. https://doi.org/10.1016/j.envsoft.2024.106069
264. Deep mass redistribution prior to the 2010 Mw 8.8 Maule (Chile) Earthquake revealed by GRACE satellite gravity M. Bouih et al. https://doi.org/10.1016/j.epsl.2022.117465
265. Increasing riverine export of dissolved organic carbon from China Y. Yan et al. https://doi.org/10.1111/gcb.16819
266. Anthropogenic forcing decreases the probability of the 2020 Yangtze River extreme flood and future risk X. Li et al. https://doi.org/10.1016/j.atmosres.2024.107662
267. Divergent Causes of Terrestrial Water Storage Decline Between Drylands and Humid Regions Globally L. An et al. https://doi.org/10.1029/2021GL095035
268. CONCN: a high-resolution, integrated surface water–groundwater ParFlow modeling platform of continental China C. Yang et al. https://doi.org/10.5194/hess-29-2201-2025
269. Multi-model assessment of present and future mean and extreme river flows in major West African basins M. Mbaye et al. https://doi.org/10.1016/j.sciaf.2026.e03374
270. Improving understanding of spatiotemporal water storage changes over China based on multiple datasets W. Yin et al. https://doi.org/10.1016/j.jhydrol.2022.128098
271. Reconstructing a long-term water storage-based drought index in the Yangtze River Basin Y. Zhong et al. https://doi.org/10.1016/j.scitotenv.2023.163403
272. Improving the quantification of climate change hazards by hydrological models: a simple ensemble approach for considering the uncertain effect of vegetation response to climate change on potential evapotranspiration T. Peiris & P. Döll https://doi.org/10.5194/hess-27-3663-2023
273. An Abrupt Decline in Global Terrestrial Water Storage and Its Relationship with Sea Level Change M. Rodell et al. https://doi.org/10.1007/s10712-024-09860-w
274. Total Nitrogen and Total Phosphorus Pollution Reshaped the Relationship Between Water Supply and Demand in the Huaihe River Watershed, China Y. Lu et al. https://doi.org/10.1007/s11769-023-1350-4
275. A Machine Learning approach for Total Water storage anomaly eXtension back to 1980 (ML-TWiX) P. Saemian et al. https://doi.org/10.1038/s41597-026-06604-w
276. Widespread increase in root zone water use exacerbates water stress in cultivated regions S. Du et al. https://doi.org/10.1016/j.agrformet.2026.111188
277. Past and future terrestrial water storage changes in the lower Mekong River basin: The influences of climatic and non-climatic factors J. Xiong et al. https://doi.org/10.1016/j.jhydrol.2022.128275
278. Modelling & Assessment of the Impact of Water Network Construction on Mitigating Regional Water Supply–Demand Conflicts: Strategies Approaches for Water Resources Planning and Management C. Cui et al. https://doi.org/10.1007/s11269-025-04118-5
279. What is the present-day tectonic uplift rate of the Tibetan Plateau? W. Rao et al. https://doi.org/10.1016/j.epsl.2025.119389
280. A regional-scale framework for assessing sustainable hydropower potential based on open-access data: the case of Central Asia J. De Keyser et al. https://doi.org/10.1016/j.apenergy.2026.127843
281. The Water Table Model (WTM) (v2.0.1): coupled groundwater and dynamic lake modelling K. Callaghan et al. https://doi.org/10.5194/gmd-18-1463-2025
282. Spatial variation in groundwater depletion across China under multiple stresses X. Lin et al. https://doi.org/10.3389/fenvs.2022.1067766
283. A 6-year cycle in the Earth system J. Pfeffer et al. https://doi.org/10.1016/j.gloplacha.2023.104245
284. Developing a pan-European high-resolution groundwater recharge map – Combining satellite data and national survey data using machine learning G. Martinsen et al. https://doi.org/10.1016/j.scitotenv.2022.153464
285. Evaluation of Groundwater Storage Depletion Using GRACE/GRACE Follow-On Data with Land Surface Models and Its Driving Factors in Haihe River Basin, China Y. Guo et al. https://doi.org/10.3390/su14031108
286. A Comprehensive Review of Conventional, Machine Leaning, and Deep Learning Models for Groundwater Level (GWL) Forecasting J. Khan et al. https://doi.org/10.3390/app13042743
287. A High-Resolution Gridded Dataset for China’s Monthly Sectoral Water Use Y. Zhang et al. https://doi.org/10.1038/s41597-025-05400-2
288. GRACE Data Explore Moho Change Characteristics Beneath the South America Continent near the Chile Triple Junction P. Sun et al. https://doi.org/10.3390/rs14040924
289. Assessment of temporal variations of geoid, ellipsoidal and orthometric heights at proposed IHRF sites using space geodetic data W. Godah et al. https://doi.org/10.1515/jag-2025-0018
290. Groundwater stress in Europe—assessing uncertainties in future groundwater discharge alterations due to water abstractions and climate change L. Söller et al. https://doi.org/10.3389/frwa.2024.1448625
291. Regionalization in global hydrological models and its impact on runoff simulations: a case study using WaterGAP3 (v 1.0.0) J. Kupzig et al. https://doi.org/10.5194/gmd-17-6819-2024
292. Nanotechnology in the soil system: An ecological approach towards sustainable management H. El-Ramady et al. https://doi.org/10.1016/j.apsoil.2024.105669
293. Changes of Terrestrial Water Storage in the Yellow River Basin Under Global Warming X. ZENG et al. https://doi.org/10.3724/j.1006-8775.2024.013
294. Model Estimates of China's Terrestrial Water Storage Variation Due To Reservoir Operation N. Dong et al. https://doi.org/10.1029/2021WR031787
295. Crop production response to soil moisture and groundwater depletion in the Nile Basin based on multi-source data Z. Nigatu et al. https://doi.org/10.1016/j.scitotenv.2022.154007
296. Characterizing the drought events in Yangtze River basin via the insight view of its sub-basins water storage variations W. Ma et al. https://doi.org/10.1016/j.jhydrol.2024.130995
297. Impacts of climate change on the dilution capacity of perennial and non-perennial European rivers M. Sepp et al. https://doi.org/10.1016/j.watres.2025.124499
298. Hidden costs of a thriving Yellow River: Severe groundwater depletion M. Liu et al. https://doi.org/10.1016/j.geosus.2026.100407
299. DHI-GHM: Real-time and forecasted hydrology for the entire planet A. Murray et al. https://doi.org/10.1016/j.jhydrol.2023.129431
300. A comprehensive assessment of water storage dynamics and hydroclimatic extremes in the Chao Phraya River Basin during 2002–2020 . Abhishek et al. https://doi.org/10.1016/j.jhydrol.2021.126868
301. The value of observed reservoir storage anomalies for improving the simulation of reservoir dynamics in large-scale hydrological models S. Hosseini-Moghari & P. Döll https://doi.org/10.5194/hess-29-4073-2025
302. Rules of river avulsion change downstream J. Gearon et al. https://doi.org/10.1038/s41586-024-07964-2
303. Geodetic/gravimetric evidence for mass loss in the subsidence area of Bandung, Indonesia B. Bramanto et al. https://doi.org/10.1016/j.jog.2023.101987
304. Surface Water Storage in Rivers and Wetlands Derived from Satellite Observations: A Review of Current Advances and Future Opportunities for Hydrological Sciences F. Papa & F. Frappart https://doi.org/10.3390/rs13204162
305. Gravity field changes reveal deep mass transfer before and after the 2013 Lushan earthquake L. Wang et al. https://doi.org/10.1038/s43247-023-00860-z
306. Eroding the Himalaya: Topographic and Climatic Control of Erosion Rates and Implications for Tectonics K. Whipple et al. https://doi.org/10.1086/731260
307. Towards water resilience: A multi-stage calibration framework for large-scale integrated surface–subsurface hydrological models L. Sandoval et al. https://doi.org/10.1016/j.jhydrol.2025.134527
308. Improving groundwater recharge modeling through soft information: A chloride mass balance approach S. Chen et al. https://doi.org/10.1007/s10040-025-02995-z
309. Evaluation of coupled and uncoupled ocean–ice–atmosphere simulations using icon-2024.07 and NEMOv4.2.0 for the EURO-CORDEX domain V. Maurer et al. https://doi.org/10.5194/gmd-19-543-2026
310. Estimating terrestrial water storage variations in Chile with the effects of earthquakes deducted P. Sun et al. https://doi.org/10.1080/02626667.2023.2230217
311. Lessons learned from an assessment of the planetary health diet in Japan: dietary and supply gaps, self-sufficiency, and environmental impacts Y. Tsujii et al. https://doi.org/10.1007/s11625-026-01834-8
312. High-resolution long-term average groundwater recharge in Africa estimated using random forest regression and residual interpolation A. Pazola et al. https://doi.org/10.5194/hess-28-2949-2024
313. Ecological restoration reverses terrestrial water storage losses in the Mu Us Sandyland in China H. Zhou et al. https://doi.org/10.1038/s43247-025-03101-7
314. Spatiotemporal characteristics of water use change and its driving factors in China’s urban agglomerations C. Bao & M. Xu https://doi.org/10.1016/j.ecolind.2023.110279
315. The use of GRDC gauging stations for calibrating large-scale hydrological models P. Burek & M. Smilovic https://doi.org/10.5194/essd-15-5617-2023
316. Coupling a large-scale glacier and hydrological model (OGGM v1.5.3 and CWatM V1.08) – towards an improved representation of mountain water resources in global assessments S. Hanus et al. https://doi.org/10.5194/gmd-17-5123-2024
317. Attribution of runoff change and evaluation of water-balance closure based on a Budyko combined method of zonation, connectivity, and closure: a case study of the Xihan River basin in Northwest China D. Sun et al. https://doi.org/10.1016/j.ecolind.2026.114623
318. Targeted opportunities to mitigate water scarcity, inequality, and inequity embedded in international food trade for vulnerable countries W. Gu & Y. Qin https://doi.org/10.1016/j.watres.2024.122568
319. The relationship between GRACE gravity and the seismic b-value: a case study of the Northern Chile Triple Junction (25° S–40° S) P. Sun et al. https://doi.org/10.1093/gji/ggae116
320. Global high-resolution total water storage anomalies from self-supervised data assimilation using deep learning algorithms J. Gou & B. Soja https://doi.org/10.1038/s44221-024-00194-w
321. Manifesting deep learning algorithms for developing drought vulnerability index in monsoon climate dominant region of West Bengal, India S. Saha et al. https://doi.org/10.1007/s00704-022-04300-4
322. Global and regional ocean mass budget closure since 2003 C. Ludwigsen et al. https://doi.org/10.1038/s41467-024-45726-w
323. SABER: A Model-Agnostic Postprocessor for Bias Correcting Discharge from Large Hydrologic Models R. Hales et al. https://doi.org/10.3390/hydrology9070113
324. Evaluating Terrestrial Water Storage, Fluxes, and Drivers in the Pearl River Basin from Downscaled GRACE/GFO and Hydrometeorological Data Y. Xiong et al. https://doi.org/10.3390/rs17233816
325. The changing nature of groundwater in the global water cycle X. Kuang et al. https://doi.org/10.1126/science.adf0630
326. Spatiotemporal dynamics of global rain-fed groundwater recharge from 2001 to 2020 S. Nazari et al. https://doi.org/10.1016/j.jhydrol.2024.132490
327. Comparative analysis of the impact of different environmental loading products on contemporary vertical land motion of mainland China from multigeodetic measurements T. Chen & H. Ding https://doi.org/10.1093/gji/ggaf407
328. Separating the Precipitation‐ and Non‐Precipitation‐ Driven Water Storage Trends in China Y. Zhong et al. https://doi.org/10.1029/2022WR033261
329. Quantifying future water and energy security in the source area of the western route of China’s South-to-North water diversion project within the context of climatic and societal changes H. Liang et al. https://doi.org/10.1016/j.ejrh.2023.101443
330. The global water resources and use model WaterGAP v2.2e: description and evaluation of modifications and new features H. Müller Schmied et al. https://doi.org/10.5194/gmd-17-8817-2024
331. On the evaluation of global terrestrial water storage and divergent governing factors centring policymaking R. Anjaneyulu & . Abhishek https://doi.org/10.1016/j.jenvman.2025.128455
332. Global hydrological models continue to overestimate river discharge S. Heinicke et al. https://doi.org/10.1088/1748-9326/ad52b0
333. Assessing positive and negative effects of global supply chains through water footprinting: the balance between economic benefits and environmental pressure from the global and regional scale perspectives K. Maeno et al. https://doi.org/10.1007/s44498-026-00091-3
334. Frequency-Dependent Scaling Factors to Estimate Multiple Time-Period Global Mass Changes Observed by GRACE/GRACE-FO Z. Peng et al. https://doi.org/10.1109/JSTARS.2025.3546524
335. Large variations in global irrigation withdrawals caused by uncertain irrigation efficiencies A. Puy et al. https://doi.org/10.1088/1748-9326/ac5768
336. Development of an innovative MnO2 nanorod for efficient solar vapor generator C. Onggowarsito et al. https://doi.org/10.1016/j.efmat.2022.08.001
337. Suppressing stripe noise in GRACE/GFO level-2 products with dual low-pass filtering Y. Feng et al. https://doi.org/10.1007/s40328-024-00448-9
338. Characterizing the multisectoral impacts of future global hydrologic variability A. Birnbaum et al. https://doi.org/10.1088/1748-9326/ad52af
339. A runoff prediction method for arid regions integrating physics-guided signal extraction and temporally adaptive feature selection Z. Li et al. https://doi.org/10.1016/j.ejrh.2025.103034