214 citations as recorded by crossref.

1. Revealing the spatiotemporal evolution of the 2024 extreme flood in Guangdong Province: Insights from GRACE-FO and in situ measurements S. Liu et al.
2. Investigating the Dry–Wet Differentiation of the Yellow River Basin Driven by Climate Change and Anthropogenic Activities Q. Yu et al.
3. Channel Water Storage Anomaly: A New Remotely Sensed Quantity for Global River Analysis S. Coss et al.
4. A compound event-oriented framework to tropical fire risk assessment in a changing climate A. Ribeiro et al.
5. Continuous monitoring of hydrological droughts in the Pearl River basin using a novel GRACE/GFO gap-filling method X. Yang et al.
6. Probabilistic reconstruction of sea-level changes and their causes since 1900 S. Dangendorf et al.
7. Human-Induced and Climate-Driven Contributions to Water Storage Variations in the Haihe River Basin, China Y. Zhong et al.
8. Detection and Characterization of Active Slope Deformations with Sentinel-1 InSAR Analyses in the Southwest Area of Shanxi, China X. Shi et al.
9. A dynamical downscaling method of groundwater storage changes using GRACE data J. Sun et al.
10. Causal inference reveals the dominant role of interannual variability of carbon sinks in complicated environmental-terrestrial ecosystems C. Dang et al.
11. GRACE-based groundwater drought in the Indochina Peninsula during 1979–2020: Changing properties and possible teleconnection mechanisms X. Song et al.
12. Extending MESMER-X: a spatially resolved Earth system model emulator for fire weather and soil moisture Y. Quilcaille et al.
13. GRAiCE: reconstructing terrestrial water storage anomalies with recurrent neural networks I. Palazzoli et al.
14. Terrestrial water storage in Australia under stress from compound climate extremes C. Ndehedehe et al.
15. Interpreting Global Terrestrial Water Storage Dynamics and Drivers with Explainable Deep Learning H. Huang et al.
16. Annual runoff coefficient variation in a changing environment: a global perspective J. Xiong et al.
17. Monitoring Significant Terrestrial Water Storage Increase From the “237” Extreme Flood Around the Haihe River Basin Using GRACE-FO and Precipitation Reconstruction J. Zhou et al.
18. A data-driven approach to generate past GRACE-like terrestrial water storage solution by calibrating the land surface model simulations W. Jing et al.
19. Can climate change signals be detected from the terrestrial water storage at daily timescale? F. Huo et al.
20. How realistic are multi-decadal reconstructions of GRACE-like total water storage anomalies? C. Hacker & J. Kusche
21. Origin of the solar-cycle imprint on global sea level change S. Masuda et al.
22. Improving understanding of drought using extended and downscaled GRACE data in the Pearl River Basin X. Wan et al.
23. Trends and uncertainties of mass-driven sea-level change in the satellite altimetry era C. Camargo et al.
24. High-resolution temporal gravity field data products: Monthly mass grids and spherical harmonics from 1994 to 2021 M. Uz et al.
25. Origin of interannual variability in global mean sea level B. Hamlington et al.
26. Predictive Skill Assessment for Land Water Storage in CMIP5 Decadal Hindcasts by a Global Reconstruction of GRACE Satellite Data L. Jensen et al.
27. Multi-Indicator Assessment of Hydrological Change Across Europe Using Satellite Observations M. Birylo
28. Effects of different climatic conditions on soil water storage patterns A. Ehrhardt et al.
29. Evaluation of the impact of the biomass on GRACE-borne total water storage estimates in the Amazon Basin L. Földváry & M. Aminjanova
30. Attributing terrestrial water storage changes on the Tibetan Plateau to climate and human drivers using a hybrid deep learning approach Z. Yang et al.
31. Showcasing MESMER‐X: Spatially Resolved Emulation of Annual Maximum Temperatures of Earth System Models Y. Quilcaille et al.
32. Reconstructing GRACE-like time series of high mountain glacier mass anomalies B. Liu et al.
33. A basin-scale water budget calibration method for sustainable water management: A case study in the Loess Plateau, China Z. Ma et al.
34. Soil Moisture Assimilation Improves Terrestrial Biosphere Model GPP Responses to Sub-Annual Drought at Continental Scale X. Xing et al.
35. Declining water constraints at the cost of water storage for ecosystem on China's Loess Plateau W. Chen et al.
36. Gap-filling GRACE and GRACE-FO data with a climate adjustment scheme using Singular Spectrum analysis X. Zhang et al.
37. Historical deforestation drives strong rainfall decline across the southern Amazon basin J. Cui et al.
38. Improved Drought Characteristics in the Pearl River Basin Based on Reconstructed GRACE Solution with Enhanced Temporal Resolution L. Wang et al.
39. The Novel Microwave Temperature Vegetation Drought Index (MTVDI) Captures Canopy Seasonality across Amazonian Tropical Evergreen Forests L. Liu et al.
40. On the evaluation of global terrestrial water storage and divergent governing factors centring policymaking R. Anjaneyulu & . Abhishek
41. Influence of Terrestrial Water Storage on Flood Potential Index in the Yangtze River Basin, China P. Yang et al.
42. Spatiotemporal variations in terrestrial water storage: A comparative analysis using gravimetry satellite data and water balance methods over Ethiopia N. Ayele et al.
43. Future socio-ecosystem productivity threatened by compound drought–heatwave events J. Yin et al.
44. A Shift From Temperature to Water as the Primary Driver for Interannual Variability of the Tropical Carbon Cycle B. He et al.
45. Assessing the interannual and subseasonal variabilities in water storage using multi-source soil moisture products and GRACE/GRACE-FO satellites and its applications Q. Li et al.
46. Bridging the Temporal Gaps in GRACE/GRACE–FO Terrestrial Water Storage Anomalies over the Major Indian River Basins Using Deep Learning P. Moudgil et al.
47. Separating climate and human induced terrestrial water storage anomalies with GRACE data and hydrological models R. Ji et al.
48. Bridging the gap between GRACE and GRACE-FO using a hydrological model X. Zhang et al.
49. Seesaw Terrestrial Wetting and Drying Between Eastern and Western Australia A. Chen et al.
50. Reinterpreting Global GRACE Trends Based on Century‐Long GRACE‐REC Data Y. Zhong et al.
51. GTWS-MLrec: global terrestrial water storage reconstruction by machine learning from 1940 to present J. Yin et al.
52. 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.
53. Over 60% precipitation transformed into terrestrial water storage in global river basins from 2002 to 2021 Y. Zhong et al.
54. Declining Crop Yield Sensitivity to Drought and Its Environmental Drivers in the North China Plain Z. Wang et al.
55. Filling the gap between GRACE and GRACE-FO data using a model integrating variational mode decomposition and long short-term memory: a case study of Northwest China J. Chu et al.
56. Reconstructing GRACE-derived terrestrial water storage anomalies with in-situ groundwater level measurements and meteorological forcing data P. Li et al.
57. Observed changes in dry-season water availability attributed to human-induced climate change R. Padrón et al.
58. Anthropogenic and Climate-Driven Water Storage Variations on the Mongolian Plateau S. Zheng et al.
59. Regional and seasonal partitioning of water and temperature controls on global land carbon uptake variability K. Wang et al.
60. Recent decrease of the impact of tropical temperature on the carbon cycle linked to increased precipitation W. Zhang et al.
61. Bridging the gap between GRACE and GRACE-FO missions with deep learning aided water storage simulations M. Uz et al.
62. Water-balance-based evapotranspiration for 56 large river basins: A benchmarking dataset for global terrestrial evapotranspiration modeling N. Ma et al.
63. Spatio-temporal dynamics of water storage across Northwest China over the past four decades W. Cheng et al.
64. Autoregressive Reconstruction of Total Water Storage within GRACE and GRACE Follow-On Gap Period A. Lenczuk et al.
65. Filling the data gap between GRACE and GRACE-FO based on a two-step reconstruction method F. Hu et al.
66. Quantifying the Central European Droughts in 2018 and 2019 With GRACE Follow‐On E. Boergens et al.
67. Characterizing drought events occurred in the Yangtze River Basin from 1979 to 2017 by reconstructing water storage anomalies based on GRACE and meteorological data S. Zheng et al.
68. A Novel Standardized Drought and Flood Potential Index Based on Reconstructed Daily GRACE Data J. Xiong et al.
69. Evaluation of evapotranspiration for exorheic basins in China using an improved estimate of terrestrial water storage change H. Bai et al.
70. A new precipitation emulator (PREMU v1.0) for lower-complexity models G. Liu et al.
71. Increasingly negative tropical water–interannual CO2 growth rate coupling L. Liu et al.
72. A Two‐Step Linear Model to Fill the Data Gap Between GRACE and GRACE‐FO Terrestrial Water Storage Anomalies X. Yang et al.
73. Data‐Driven Gap Filling and Spatio‐Temporal Filtering of the GRACE and GRACE‐FO Records L. Gauer et al.
74. Long‐Term (1979‐Present) Total Water Storage Anomalies Over the Global Land Derived by Reconstructing GRACE Data F. Li et al.
75. GROOPS: A software toolkit for gravity field recovery and GNSS processing T. Mayer-Gürr et al.
76. Global hydroclimatic drivers of terrestrial water storage changes in different climates X. Zhang et al.
77. Monitoring the extreme flood events in the Yangtze River basin based on GRACE and GRACE-FO satellite data J. Xie et al.
78. Applying Reconstructed Daily Water Storage and Modified Wetness Index to Flood Monitoring: A Case Study in the Yangtze River Basin C. Xiao et al.
79. Improved Resolution of Drought Monitoring in the Yellow River Basin Based on a Daily Drought Index Using GRACE Data Y. Li et al.
80. Regional asymmetry in the response of global vegetation growth to springtime compound climate events J. Li et al.
81. Seasonal catchment memory of high mountain rivers in the Tibetan Plateau H. Gu et al.
82. Learning-based Reconstruction of GRACE Data Based on Changes in Total Water Storage and Its Accuracy Assessment Y. Su et al.
83. Reconstruction of GRACE Mass Change Time Series Using a Bayesian Framework A. Rateb et al.
84. Hydrological variability in southern Siberia and the role of permafrost degradation L. Han & L. Menzel
85. Rapid Mass Loss in West Antarctica Revealed by Swarm Gravimetry in the Absence of GRACE C. Zhang et al.
86. Decline in terrestrial water recharge with increasing global temperatures C. Banerjee et al.
87. 1950~2020年中国沿海海平面上升 大. 穆 et al.
88. A GRACE-based framework for tracking flash drought hotspots and spatiotemporal evolution H. Bai et al.
89. Filling the Data Gaps Within GRACE Missions Using Singular Spectrum Analysis S. Yi & N. Sneeuw
90. Using GRACE Data to Study the Impact of Snow and Rainfall on Terrestrial Water Storage in Northeast China A. Qian et al.
91. Extending GRACE terrestrial water storage anomalies by combining the random forest regression and a spatially moving window structure W. Jing et al.
92. 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.
93. Decomposition-based reconstruction scheme for GRACE data with irregular temporal intervals Z. Yuan & X. Chen
94. Evaluation of the Local Sea‐Level Budget at Tide Gauges Since 1958 J. Wang et al.
95. Reconstructing a long-term water storage-based drought index in the Yangtze River Basin Y. Zhong et al.
96. Varying performance of eight evapotranspiration products with aridity and vegetation greenness across the globe H. Wang et al.
97. Calibration‐Free Complementary Relationship Estimates Terrestrial Evapotranspiration Globally N. Ma et al.
98. Identifying and separating climate- and human-driven water storage anomalies using GRACE satellite data B. Liu et al.
99. Reconstructing GRACE-like TWS anomalies for the Canadian landmass using deep learning and land surface model Q. Yu et al.
100. 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.
101. Quantification and Assessment of Global Terrestrial Water Storage Deficit Caused by Drought Using GRACE Satellite Data J. Lu et al.
102. Solid Water Melt Dominates the Increase of Total Groundwater Storage in the Tibetan Plateau Y. Zou et al.
103. Links Between Extremes in GRACE TWS and Climate Patterns Across Iberia M. Neves
104. 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.
105. A machine learning downscaling framework based on a physically constrained sliding window technique for improving resolution of global water storage anomaly G. Zhang et al.
106. Future response of ecosystem water use efficiency to CO2 effects in the Yellow River Basin, China S. Chen et al.
107. Combining machine learning algorithms for bridging gaps in GRACE and GRACE Follow-On missions using ERA5-Land reanalysis J. Dharpure et al.
108. Global Terrestrial Water Storage Reconstruction Using Cyclostationary Empirical Orthogonal Functions (1979–2020) H. Chandanpurkar et al.
109. Quantifying the long-term changes of terrestrial water storage and their driving factors X. Shi et al.
110. Integrating GRACE/GRACE Follow-On and Wells Data to Detect Groundwater Storage Recovery at a Small-Scale in Beijing Using Deep Learning Y. Hu et al.
111. Diagnosing evaporation in heterogeneous alpine basins using the generalized complementary relationship model integrated with the Budyko framework X. Zhang et al.
112. 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.
113. 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.
114. Machine learning and copula-based analysis of past changes in global droughts and socioeconomic exposures L. Fang et al.
115. Synergistic utilization of GRACE/GRACE-FO observations to monitor groundwater storage dynamics in Gujarat, India A. Upadhyay et al.
116. Climate-driven prediction of land water storage anomalies: An outlook for water resources monitoring across the conterminous United States C. Sohoulande et al.
117. Bayesian convolutional neural networks for predicting the terrestrial water storage anomalies during GRACE and GRACE-FO gap S. Mo et al.
118. Quantifying the 2022 extreme drought in the Yangtze River Basin using GRACE-FO A. Duan et al.
119. Reconstruction of continuous GRACE/GRACE-FO terrestrial water storage anomalies based on time series decomposition X. Yang et al.
120. Changes and drivers of long-term land evapotranspiration in the Yangtze River Basin: A water balance perspective H. Bai et al.
121. Evaluation of the Consistency of Three GRACE Gap-Filling Data A. Qian et al.
122. A Comprehensive Evaluation of GRACE‐Like Terrestrial Water Storage (TWS) Reconstruction Products at an Interannual Scale During 1981–2019 S. Deng et al.
123. A new multivariate composite drought index considering the lag time and the cumulative effects of drought M. Yuan et al.
124. Long-term hydrological dynamics and water balance in the Upper Indus Basin: Insights from a process-based model M. Umer et al.
125. Drought Characteristics and Cascading Dynamics in South India: On the Key Influencing Factors P. Bhunia et al.
126. Water storage changes (2003–2020) in the Ordos Basin, China, explained by GRACE data and interpretable deep learning Z. Hu et al.
127. The great 1983 floods in South American large rivers: a continental hydrological modelling approach A. Fleischmann et al.
128. Multidecadal reconstruction of terrestrial water storage changes by combining pre-GRACE satellite observations and climate data C. Hacker et al.
129. Global Projections of Storm Surges Using High‐Resolution CMIP6 Climate Models S. Muis et al.
130. Emulating Earth system model temperatures with MESMER: from global mean temperature trajectories to grid-point-level realizations on land L. Beusch et al.
131. Extending the Global Mass Change Data Record: GRACE Follow‐On Instrument and Science Data Performance F. Landerer et al.
132. Improved the Characterization of Flood Monitoring Based on Reconstructed Daily GRACE Solutions over the Haihe River Basin S. Nie et al.
133. Bidirectional drought‐related canopy dynamics across pantropical forests: a satellite‐based statistical analysis L. Liu et al.
134. Evaluating the impact of drought-vegetation loss coupling on eco-hydrological stability in the Yellow River Basin, China C. Du et al.
135. Significant variations in terrestrial water flux in mainland China during 2024 using GRACE-FO: impacts of extreme climate events Y. Zhong et al.
136. Contemporary sea-level changes from global to local scales: a review A. Cazenave & L. Moreira
137. Quantifying long-term drought in China’s exorheic basins using a novel daily GRACE reconstructed TWSA index S. Yang et al.
138. Filling GRACE data gap using an innovative transformer-based deep learning approach L. Wang & Y. Zhang
139. 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.
140. Changes of terrestrial water storage during 1981–2020 over China based on dynamic-machine learning model E. Zhu et al.
141. GCSD: A comprehensive coastal indicators database for global coastal sustainable development assessment J. Zuo et al.
142. Climate Change and Hydrological Extremes J. Xiong & Y. Yang
143. Uncertainty Quantification of Satellite-Based Essential Climate Variables Derived from Deep Learning J. Gou et al.
144. Providing Enhanced Insights into Groundwater Exchange Patterns through Downscaled GRACE Data J. Sun et al.
145. Monitoring Droughts From GRACE B. Vishwakarma
146. 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
147. A Novel Metric for Quantifying Precipitation-Driven Variability in Global Terrestrial Water Storage Y. Zhong et al.
148. Necessity of incorporating realistic land surface parameters for trend analyses of potential evapotranspiration and drought S. Sun et al.
149. Annually resolved atmospheric CO2 growth rate over the past nine centuries X. Zhang et al.
150. A Machine Learning approach for Total Water storage anomaly eXtension back to 1980 (ML-TWiX) P. Saemian et al.
151. Random Forest-Based Reconstruction and Application of the GRACE Terrestrial Water Storage Estimates for the Lancang-Mekong River Basin S. Tang et al.
152. A global drought dataset for Multivariate Composite Drought Index (MCDI) and its constituent drought indices M. Yuan et al.
153. Bridging GRACE/GRACE-FO data gaps with ESTConvS2S for enhanced water storage monitoring S. Gu et al.
154. 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.
155. Minimizing uncertainties in climate projections and water budget reveals the vulnerability of freshwater to climate change O. Adeyeri et al.
156. Reconstructing the data gap between GRACE and GRACE follow-on at the basin scale using artificial neural network Y. Lai et al.
157. An Interannual Probabilistic Assessment of Subsurface Water Storage Over Europe Using a Fully Coupled Terrestrial Model C. Hartick et al.
158. Sea level rise along China coast from 1950 to 2020 D. Mu et al.
159. A Framework for Characterization of Drought Events at the Basin Scale Based on High-Resolution Terrestrial Water Storage Reconstruction Z. Yuan et al.
160. 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.
161. Process-based estimate of global-mean sea-level changes in the Common Era N. Gangadharan et al.
162. Downscaling Simulation of Groundwater Storage in the Beijing, Tianjin, and Hebei Regions of China Based on GRACE Data J. Sun et al.
163. Integrating ICESat-2 altimetry and machine learning to estimate the seasonal water level and storage variations of national-scale lakes in China L. Song et al.
164. Trade‐Offs Between Spatial and Temporal Accuracy of Complementary Relationship Models for Evaporation in an Ungauged Basin X. Zhang et al.
165. The causes of sea-level rise since 1900 T. Frederikse et al.
166. Benchmarking large-scale evapotranspiration estimates: A perspective from a calibration-free complementary relationship approach and FLUXCOM N. Ma et al.
167. Future projections of glacier mass change in High Mountain Asia using GRACE and climatemodel data J. Dharpure et al.
168. Reconstructing GRACE Terrestrial Water Storage Anomalies With Machine Learning for Drought Monitoring in Southwest China L. Wu et al.
169. Separating the Precipitation‐ and Non‐Precipitation‐ Driven Water Storage Trends in China Y. Zhong et al.
170. G‐RUN ENSEMBLE: A Multi‐Forcing Observation‐Based Global Runoff Reanalysis G. Ghiggi et al.
171. Anomalous Net Biome Exchange Over Amazonian Rainforests Induced by the 2015/16 El Niño: Soil Dryness‐Shaped Spatial Pattern but Temperature‐dominated Total Flux J. Wang et al.
172. Models overestimate ecosystem water use efficiency for northern permafrost regions J. Wang & D. Liu
173. Reconstructing terrestrial water storage anomalies using convolution-based support vector machine I. Kalu et al.
174. Spatial-temporal variations in evapotranspiration across the continental United States: An atmospheric water balance perspective S. Shang et al.
175. A hybrid approach for recovering high-resolution temporal gravity fields from satellite laser ranging A. Löcher & J. Kusche
176. Hydrological Droughts of 2017–2018 Explained by the Bayesian Reconstruction of GRACE(‐FO) Fields S. Mo et al.
177. Gap-filling products for three GRACE/GRACE-FO mascon solutions P. Xie & S. Yi
178. Estimating terrestrial water storage variations in Chile with the effects of earthquakes deducted P. Sun et al.
179. Natural and human-induced decline and spatio-temporal differentiation of terrestrial water storage over the Lancang-Mekong River Basin J. Chen et al.
180. 极端降水诱发湖泊溃决的卫星重力与多源遥感观测响应分析：以2024年洞庭湖团洲垸溃决为例 . Li Zilong et al.
181. Soil moisture seasonality alters vegetation response to drought in the Mongolian Plateau Z. Lu et al.
182. Evaluating Terrestrial Water Storage, Fluxes, and Drivers in the Pearl River Basin from Downscaled GRACE/GFO and Hydrometeorological Data Y. Xiong et al.
183. The efficacy of seasonal terrestrial water storage forecasts for predicting vegetation activity over Africa B. Cook et al.
184. The Offset of the Ecological Benefits of Decreasing Forest Disturbance Severity in Europe Caused by Climate Change W. Zheng et al.
185. Divergent Causes of Terrestrial Water Storage Decline Between Drylands and Humid Regions Globally L. An et al.
186. Estimation of Terrestrial Water Storage Changes at Small Basin Scales Based on Multi-Source Data Q. Li et al.
187. Increase in plant reliance on past precipitation associated with greening and drying H. Zhang et al.
188. A Review of GRACE/GRACE-FO Satellite Gravimetry Applications in Earthquake Activity Monitoring H. Wu et al.
189. Reconstruction of GRACE Total Water Storage Through Automated Machine Learning A. Sun et al.
190. Re-assessing global water storage trends from GRACE time series B. Vishwakarma et al.
191. Using Satellite-Based Terrestrial Water Storage Data: A Review V. Humphrey et al.
192. Earth's Energy Imbalance From the Ocean Perspective (2005–2019) M. Hakuba et al.
193. Toward a Robust, Impact‐Based, Predictive Drought Metric S. Hobeichi et al.
194. A knowledge map-based review of GRACE satellite applications across multiple domains: challenges and future directions J. Sun et al.
195. A deep learning model for reconstructing centenary water storage changes in the Yangtze River Basin J. Wang et al.
196. Terrestrial Evapotranspiration Over China From 1982 to 2020: Consistency of Multiple Data Sets and Impact of Input Data Y. Mao et al.
197. Reanalysis in Earth System Science: Toward Terrestrial Ecosystem Reanalysis R. Baatz et al.
198. Lagged precipitation effects on plant production across terrestrial biomes L. He et al.
199. Spatiotemporal GRACE TWS downscaling using statistical and machine learning methods: Random Forest, area-to-area kriging, and hybrid methods F. Mikaeeli Ahamadabad et al.
200. Assessment of anthropogenic and climate-driven water storage variations over water-stressed river basins of Ethiopia A. Yoshe
201. 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.
202. Projected changes in terrestrial water storage and associated flood potential across the Yangtze River basin J. Xiong et al.
203. Evaluating different predictive strategies for filling the global GRACE/-FO terrestrial water storage anomalies gap X. Wan et al.
204. Impacts of Human Activities and Climate Change on Water Storage Changes in Shandong Province, China L. Deng et al.
205. The increasingly dominant role of climate change on length of day variations M. Shahvandi et al.
206. Machine Learning as a Strategic Tool for Helping Cocoa Farmers in Côte D’Ivoire S. Ferraris et al.
207. The Role of Space-Based Observations for Groundwater Resource Monitoring over Africa A. Springer et al.
208. Knowledge-guided hybrid AI framework for GRACE data reconstruction and generalization in South Asia: A spatiotemporal perspective P. Paramaguru et al.
209. Data-driven reconstruction reveals large-scale ocean circulation control on coastal sea level S. Dangendorf et al.
210. Monitoring the Catastrophic Flood With GRACE-FO and Near-Real-Time Precipitation Data in Northern Henan Province of China in July 2021 C. Xiao et al.
211. Terrestrial water storage dynamics and water balance closure in the Wabi-Shebelle basin: A multi-satellite constraint approach (2002-2023) A. Koji et al.
212. Missing sea level rise in southeastern Greenland during and since the Little Ice Age S. Woodroffe et al.
213. Hydrological response to long-lasting dry spell at the southern edge of Siberian permafrost L. Han & L. Menzel
214. Machine-learning-based reconstruction of long-term global terrestrial water storage anomalies from observed, satellite and land-surface model data N. Mandal et al.