149 citations as recorded by crossref.

1. The Dependence of Ecosystem Water Use Partitioning on Vegetation Productivity at the Inter‐Annual Time Scale Z. Jing et al. 10.1029/2020JD033756
2. The carrying capacity for vegetation of forest land across China: Near real-time monitoring and short-term forecasting based on satellite observation H. Yu et al. 10.1016/j.geosus.2024.04.005
3. Development of observation-based global multilayer soil moisture products for 1970 to 2016 Y. Wang et al. 10.5194/essd-13-4385-2021
4. Context Aware Evapotranspiration (ETs) for Saline Soils Reclamation A. Khan et al. 10.1109/ACCESS.2022.3206009
5. Developing a water budget for the Amman-Zarqa basin using water accounting plus and the pixel-based soil water balance model N. Amdar et al. 10.1007/s40808-024-02159-0
6. Evapotranspiration in the Amazon: spatial patterns, seasonality, and recent trends in observations, reanalysis, and climate models J. Baker et al. 10.5194/hess-25-2279-2021
7. Significant Disparity in Spatiotemporal Changes of Terrestrial Evapotranspiration across Reanalysis Datasets in China from 1982 to 2020 J. Bai et al. 10.3390/rs15184522
8. Linking the complementary evaporation relationship with the Budyko framework for ungauged areas in Australia D. Kim et al. 10.5194/hess-26-5955-2022
9. Climate Change and Hydrological Extremes J. Xiong & Y. Yang 10.1007/s40641-024-00198-4
10. Climate-dependent propagation of precipitation uncertainty into the water cycle A. Fallah et al. 10.5194/hess-24-3725-2020
11. GIS-Based Water Budget Estimation of the Kizilirmak River Basin using GLDAS-2.1 Noah and CLSM Models and Remote Sensing Observations S. Deliry et al. 10.1007/s12524-022-01522-x
12. Assessment of a hydrologic-land surface model to simulate thermo-hydrologic evolution of permafrost regions M. Abdelhamed et al. 10.1016/j.jhydrol.2024.132161
13. Assessments of three evapotranspiration products over China using extended triple collocation and water balance methods Y. Jia et al. 10.1016/j.jhydrol.2022.128594
14. Challenges and opportunities for a hybrid modelling approach to earth system science S. See & J. Adie 10.1007/s42514-021-00071-y
15. Contributions of Anthropogenic Forcings to Evapotranspiration Changes Over 1980–2020 Using GLEAM and CMIP6 Simulations J. Liu et al. 10.1029/2021JD035367
16. Improved soil evaporation remote sensing retrieval algorithms and associated uncertainty analysis on the Tibetan Plateau J. Feng et al. 10.5194/hess-27-363-2023
17. Responses of Terrestrial Evapotranspiration to Extreme Drought: A Review Q. He et al. 10.3390/w14233847
18. Evaluation of Clumping Effects on the Estimation of Global Terrestrial Evapotranspiration B. Chen et al. 10.3390/rs13204075
19. Machine learning models perform better than traditional empirical models for stomatal conductance when applied to multiple tree species across different forest biomes A. Saunders et al. 10.1016/j.tfp.2021.100139
20. Assessment of Different Complementary-Relationship-Based Models for Estimating Actual Terrestrial Evapotranspiration in the Frozen Ground Regions of the Qinghai-Tibet Plateau C. Shang et al. 10.3390/rs14092047
21. Multivariate Calibration of the SWAT Model Using Remotely Sensed Datasets S. Dangol et al. 10.3390/rs15092417
22. High-resolution satellite imagery reveals a recent accelerating rate of increase in land evapotranspiration H. Jaafar & L. Sujud 10.1016/j.rse.2024.114489
23. Precision modelling of leaf area index for enhanced surface temperature partitioning and improved evapotranspiration estimation H. Chang et al. 10.1016/j.agrformet.2024.110157
24. Spatial downscaling of GRACE-derived groundwater storage changes across diverse climates and human interventions with Random Forests Y. Wang et al. 10.1016/j.jhydrol.2024.131708
25. Evaluation of water flux predictive models developed using eddy-covariance observations and machine learning: a meta-analysis H. Shi et al. 10.5194/hess-26-4603-2022
26. Potential for Artificial Intelligence (AI) and Machine Learning (ML) Applications in Biodiversity Conservation, Managing Forests, and Related Services in India K. Shivaprakash et al. 10.3390/su14127154
27. Evaluation of evapotranspiration for exorheic basins in China using an improved estimate of terrestrial water storage change H. Bai et al. 10.1016/j.jhydrol.2022.127885
28. Evaluation of seven satellite-based and two reanalysis global terrestrial evapotranspiration products Z. Xie et al. 10.1016/j.jhydrol.2024.130649
29. MODIS-based modeling of evapotranspiration from woody vegetation supported by root-zone water storage G. Cui et al. 10.1016/j.rse.2024.114000
30. Evapotranspiration and potential water saving effect evaluation of mulched maize fields in China C. Wang et al. 10.1016/j.jhydrol.2024.130658
31. What Do We Know about Water Scarcity in Semi-Arid Zones? A Global Analysis and Research Trends F. Morante-Carballo et al. 10.3390/w14172685
32. Improvement of evapotranspiration simulation in a physically based ecohydrological model for the groundwater–soil–plant–atmosphere continuum K. Zhang et al. 10.1016/j.jhydrol.2022.128440
33. Sap flow modelling based on global radiation and canopy parameters derived from a digital surface model T. Mikita et al. 10.17221/191/2022-JFS
34. Review of Quantitative Applications of the Concept of the Water Planetary Boundary at Different Spatial Scales S. Han et al. 10.1029/2022WR033646
35. An unmixing-based spatial downscaling fusion approach for the MODIS evapotranspiration product H. Lu et al. 10.1080/10106049.2022.2068674
36. Spatial-temporal patterns of land surface evapotranspiration from global products R. Tang et al. 10.1016/j.rse.2024.114066
37. Different Vegetation Covers Leading to the Uncertainty and Consistency of ET Estimation: A Case Study Assessment with Extended Triple Collocation X. Li et al. 10.3390/rs16132484
38. Water budget-based evapotranspiration product captures natural and human-caused variability S. Goswami et al. 10.1088/1748-9326/ad63bd
39. Comprehensive evaluation of nine evapotranspiration products from remote sensing, gauge upscaling and land surface model over China D. Wang et al. 10.1371/journal.pone.0313762
40. Modelling evaporation with local, regional and global BROOK90 frameworks: importance of parameterization and forcing I. Vorobevskii et al. 10.5194/hess-26-3177-2022
41. Rising ecosystem water demand exacerbates the lengthening of tropical dry seasons H. Xu et al. 10.1038/s41467-022-31826-y
42. A decadal (2008–2017) daily evapotranspiration data set of 1 km spatial resolution and spatial completeness across the North China Plain using TSEB and data fusion C. Zhang et al. 10.1016/j.rse.2021.112519
43. Changes in Terrestrial Evaporation across Poland over the Past Four Decades Dominated by Increases in Summer Months U. Somorowska 10.3390/resources11010006
44. Dynamically weighted ensemble of geoscientific models via automated machine-learning-based classification H. Chen et al. 10.5194/gmd-16-5685-2023
45. The Decreased Availability of Soil Moisture and Canopy Conductance Dominate Evapotranspiration in a Rain-Fed Maize Ecosystem in Northeastern China H. Zhang et al. 10.3390/agronomy13122941
46. Machine learning-based investigation of forest evapotranspiration, net ecosystem productivity, water use efficiency and their climate controls at meteorological station level H. Shi et al. 10.1016/j.jhydrol.2024.131811
47. Estimation of Evapotranspiration and Its Components across China Based on a Modified Priestley–Taylor Algorithm Using Monthly Multi-Layer Soil Moisture Data W. Xing et al. 10.3390/rs13163118
48. High Spatiotemporal Estimation of Reservoir Evaporation Water Loss by Integrating Remote-Sensing Data and the Generalized Complementary Relationship Y. Li et al. 10.3390/rs16081320
49. The Potential Use of Global Evapotranspiration Products and Models to Estimate Lake Residence Time at Large Scale K. Ding et al. 10.1029/2022WR033148
50. Assessing the Complementary Role of Surface Flux Equilibrium (SFE) Theory and Maximum Entropy Production (MEP) Principle in the Estimation of Actual Evapotranspiration Y. Kim et al. 10.1029/2022MS003224
51. Evapotranspiration Changes over the European Alps: Consistency of Trends and Their Drivers between the MOD16 and SSEBop Algorithms M. Castelli 10.3390/rs13214316
52. A regional view of the linkages between hydro‐climatic changes and deforestation in the Southern Amazon S. Wongchuig et al. 10.1002/joc.7443
53. Global estimates of daily evapotranspiration using SMAP surface and root-zone soil moisture Y. Kim et al. 10.1016/j.rse.2023.113803
54. Remote sensing-aided rainfall–runoff modeling in the tropics of Costa Rica S. Arciniega-Esparza et al. 10.5194/hess-26-975-2022
55. Evapotranspiration on a greening Earth Y. Yang et al. 10.1038/s43017-023-00464-3
56. Increasing actual evapotranspiration on the Loess Plateau of China: An insight from anthropologic activities and climate change X. Cao et al. 10.1016/j.ecolind.2023.111235
57. Integration of microwave satellite soil moisture products in the contextual surface temperature-vegetation index models for spatially continuous evapotranspiration estimation W. Zhu et al. 10.1016/j.isprsjprs.2023.08.004
58. Evaluating a multi-step collocation approach for an ensemble climatological dataset of actual evapotranspiration over Italy C. Cammalleri et al. 10.1016/j.jhydrol.2024.132209
59. Response of global land evapotranspiration to climate change, elevated CO2, and land use change J. Liu et al. 10.1016/j.agrformet.2021.108663
60. On the contribution of remote sensing-based calibration to model hydrological and hydraulic processes in tropical regions A. Meyer Oliveira et al. 10.1016/j.jhydrol.2021.126184
61. Intra-Annual Variability of Evapotranspiration in Response to Climate and Vegetation Change across the Poyang Lake Basin, China Y. Wang et al. 10.3390/rs14040885
62. Groundwater Level Modeling with Machine Learning: A Systematic Review and Meta-Analysis A. Ahmadi et al. 10.3390/w14060949
63. Toward impact-based monitoring of drought and its cascading hazards A. AghaKouchak et al. 10.1038/s43017-023-00457-2
64. Irrigation Performance Assessment, Opportunities with Wireless Sensors and Satellites B. Carthy et al. 10.3390/w16131762
65. Global Evapotranspiration Datasets Assessment Using Water Balance in South America A. Ruhoff et al. 10.3390/rs14112526
66. The Role of Irrigation Expansion on Historical Climate Change: Insights From CMIP6 A. Al‐Yaari et al. 10.1029/2022EF002859
67. Dense flux observations reveal the incapability of evapotranspiration products to capture the heterogeneity of evapotranspiration J. Wu et al. 10.1016/j.jhydrol.2023.129743
68. Trends and drivers of recent summer drying in Switzerland S. Scherrer et al. 10.1088/2515-7620/ac4fb9
69. Decision tree-based detection of blowing snow events in the European Alps Z. Xie et al. 10.5194/hess-25-3783-2021
70. Land surface models significantly underestimate the impact of land-use changes on global evapotranspiration Q. Wang et al. 10.1088/1748-9326/ac38db
71. Triple collocation-based merging of multi-source gridded evapotranspiration data in the Nordic Region X. Li et al. 10.1016/j.agrformet.2023.109451
72. Understanding hydrologic controls of sloping soil response to precipitation through machine learning analysis applied to synthetic data D. Roman Quintero et al. 10.5194/hess-27-4151-2023
73. Regulation of the global carbon and water cycles through vegetation structural and physiological dynamics W. Li et al. 10.1088/1748-9326/ad5858
74. The divergence of energy- and water-balance evapotranspiration estimates in humid regions L. Zhang et al. 10.1016/j.jhydrol.2023.129971
75. Robust historical evapotranspiration trends across climate regimes S. Hobeichi et al. 10.5194/hess-25-3855-2021
76. NDVI joint process-based models drive a learning ensemble model for accurately estimating cropland net primary productivity (NPP) Z. Wang et al. 10.3389/fenvs.2023.1304400
77. Spatio-Temporal Assessment of Global Gridded Evapotranspiration Datasets across Iran D. Moshir Panahi et al. 10.3390/rs13091816
78. Long term variation of evapotranspiration and water balance based on upscaling eddy covariance observations over the temperate semi-arid grassland of China X. Pang et al. 10.1016/j.agrformet.2021.108566
79. Estimation of water consumption volume and water efficiency in irrigated and rainfed agriculture based on the WaPOR database in Iran M. Fakhar & A. Kaviani 10.2166/wcc.2024.655
80. How well do gridded precipitation and actual evapotranspiration products represent the key water balance components in the Nile Basin? I. McNamara et al. 10.1016/j.ejrh.2021.100884
81. High uncertainty of evapotranspiration products under extreme climatic conditions L. Qian et al. 10.1016/j.jhydrol.2023.130332
82. Varying performance of eight evapotranspiration products with aridity and vegetation greenness across the globe H. Wang et al. 10.3389/fenvs.2023.1079520
83. Surface flux equilibrium estimates of evaporative fraction and evapotranspiration at global scale: Accuracy evaluation and performance comparison W. Zhu et al. 10.1016/j.agwat.2023.108609
84. Trends analysis of Evapotranspiration and responses to soil moisture and wind speed over the Taklimakan Desert, China J. Lang et al. 10.1080/15324982.2024.2393337
85. Attribution of global evapotranspiration trends based on the Budyko framework S. Li et al. 10.5194/hess-26-3691-2022
86. Evapotranspiration partitioning through water stable isotopic measurements in a subtropical coniferous forest W. Xing et al. 10.1002/eco.2653
87. Evolution of global water footprints of crop production in 1990–2019 O. Mialyk et al. 10.1088/1748-9326/ad78e9
88. Estimating Actual Evapotranspiration over Croplands Using Vegetation Index Methods and Dynamic Harvested Area N. Abbasi et al. 10.3390/rs13245167
89. Drivers of rainfall trends in and around Mainland Southeast Asia N. Skliris et al. 10.3389/fclim.2022.926568
90. Mapping Irrigated Area at Field Scale Based on the OPtical TRApezoid Model (OPTRAM) Using Landsat Images and Google Earth Engine Z. Yao et al. 10.1109/TGRS.2022.3148274
91. Ecohydrological decoupling under changing disturbances and climate N. McDowell et al. 10.1016/j.oneear.2023.02.007
92. Machine Learning Based Prediction of Reference Evapotranspiration (ET0) Using IoT Z. Hu et al. 10.1109/ACCESS.2022.3187528
93. An ensemble of 48 physically perturbed model estimates of the 1∕8° terrestrial water budget over the conterminous United States, 1980–2015 H. Zheng et al. 10.5194/essd-15-2755-2023
94. Relative humidity gradients as a key constraint on terrestrial water and energy fluxes Y. Kim et al. 10.5194/hess-25-5175-2021
95. Application of machine learning techniques to simulate the evaporative fraction and its relationship with environmental variables in corn crops T. Zenone et al. 10.1186/s13717-022-00400-1
96. Artificial intelligence for geoscience: Progress, challenges, and perspectives T. Zhao et al. 10.1016/j.xinn.2024.100691
97. A Method for Estimating Daytime Average Evapotranspiration From Diurnal Land Surface Temperature Measurements Y. Geng et al. 10.1109/LGRS.2023.3268105
98. The Use of Remote Sensing-Based ET Estimates to Improve Global Hydrological Simulations in the Community Land Model Version 5.0 D. Wang et al. 10.3390/rs13214460
99. Estimation of Evapotranspiration in Sparse Vegetation Areas by Applying an Optimized Two-Source Model C. Li et al. 10.3390/rs13071344
100. The influence of plant water stress on vegetation–atmosphere exchanges: implications for ozone modelling T. Emmerichs et al. 10.5194/bg-21-3251-2024
101. Cool-dry season depression in gas exchange of canopy leaves and water flux of tropical trees at the northern limit of Asian tropics Z. Siddiq & Y. Zhang 10.1007/s11258-021-01197-3
102. Evaluating CO2 effects on semi-empirical and empirical stomatal conductance simulation in land surface models N. Chitsaz et al. 10.1016/j.jhydrol.2023.129385
103. Multi-scale evaluation of global evapotranspiration products derived from remote sensing images: Accuracy and uncertainty W. Zhu et al. 10.1016/j.jhydrol.2022.127982
104. Soil Moisture and Atmospheric Aridity Impact Spatio‐Temporal Changes in Evapotranspiration at a Global Scale W. Zhang et al. 10.1029/2022JD038046
105. Integrating leaf functional traits improves modelled estimates of carbon and water fluxes at a subtropical evergreen conifer forest B. Chen et al. 10.1016/j.ecolmodel.2023.110593
106. Where Does Moisture Come From Over the Congo Basin? S. Worden et al. 10.1029/2020JG006024
107. Quantifying the policy-driven large scale vegetation restoration effects on evapotranspiration over drylands in China Y. Xue et al. 10.1016/j.jenvman.2023.118723
108. Machine learning for numerical weather and climate modelling: a review C. de Burgh-Day & T. Leeuwenburg 10.5194/gmd-16-6433-2023
109. Consistency and uncertainty of gridded terrestrial evapotranspiration estimations over China L. Guo et al. 10.1016/j.jhydrol.2022.128245
110. Increasing Cloud Coverage Deteriorates Evapotranspiration Estimating Accuracy From Satellite, Reanalysis and Land Surface Models Over East Asia Y. Wang et al. 10.1029/2022GL102706
111. CAMELE: Collocation-Analyzed Multi-source Ensembled Land Evapotranspiration Data C. Li et al. 10.5194/essd-16-1811-2024
112. Terrestrial Evapotranspiration Over China From 1982 to 2020: Consistency of Multiple Data Sets and Impact of Input Data Y. Mao et al. 10.1029/2023JD039387
113. Reconciling historical changes in the hydrological cycle over land S. Hobeichi et al. 10.1038/s41612-022-00240-y
114. The impact of environmental variables on surface Conductance: Advancing simulation with a nonlinear Machine learning model N. Chitsaz et al. 10.1016/j.jhydrol.2024.131254
115. Reducing model uncertainty of climate change impacts on high latitude carbon assimilation A. Rogers et al. 10.1111/gcb.15958
116. Contour marks as potential indicators of evaporation rates in the early Permian continental vertebrate site Bromacker (Thuringia, Central Germany) A. Pint et al. 10.1016/j.palaeo.2023.111749
117. Integrating Meteorological and Remote Sensing Data to Simulate Cropland Nocturnal Evapotranspiration Using Machine Learning J. Huang et al. 10.3390/su16051987
118. Climate-controlled root zone parameters show potential to improve water flux simulations by land surface models F. van Oorschot et al. 10.5194/esd-12-725-2021
119. Expert-based prior uncertainty analysis of gridded water balance components: Application to the irrigated Hindon River Basin, India R. Mourad et al. 10.1016/j.ejrh.2024.101935
120. Are Terrestrial Biosphere Models Fit for Simulating the Global Land Carbon Sink? C. Seiler et al. 10.1029/2021MS002946
121. Generation and evaluation of energy and water fluxes from the HOLAPS framework: Comparison with satellite-based products during extreme hot weather A. García-García & J. Peng 10.1016/j.rse.2024.114451
122. Comparison of remote sensing evapotranspiration models: Consistency, merits, and pitfalls P. Bai 10.1016/j.jhydrol.2022.128856
123. Estimation of Actual Evapotranspiration and Water Stress in Typical Irrigation Areas in Xinjiang, Northwest China S. Zhao et al. 10.3390/rs16142676
124. Estimation of global land surface evapotranspiration and its trend using a surface energy balance constrained deep learning model H. Chen et al. 10.1016/j.jhydrol.2023.130224
125. Evidence and Controls of the Acceleration of the Hydrological Cycle Over Land Y. Wang et al. 10.1029/2022WR033970
126. Error characterization of global land evapotranspiration products: Collocation-based approach C. Li et al. 10.1016/j.jhydrol.2022.128102
127. Unraveling the Linkages between Molecular Abundance and Stable Carbon Isotope Ratio in Dissolved Organic Matter Using Machine Learning Y. Yi et al. 10.1021/acs.est.3c00221
128. The divergence between potential and actual evapotranspiration: An insight from climate, water, and vegetation change Y. Liu et al. 10.1016/j.scitotenv.2021.150648
129. Lagged effects regulate the inter-annual variability of the tropical carbon balance A. Bloom et al. 10.5194/bg-17-6393-2020
130. Detection and Attribution of Alpine Inland Lake Changes by Using Random Forest Algorithm W. Guo et al. 10.3390/rs15041144
131. Incorporating dynamic crop growth processes and management practices into a terrestrial biosphere model for simulating crop production in the United States: Toward a unified modeling framework Y. You et al. 10.1016/j.agrformet.2022.109144
132. Global trends in land-atmosphere CO<SUB>2</SUB> exchange fluxes: an analysis of a flux measurement dataset and comparison with terrestrial model simulations A. ITO 10.2480/agrmet.D-21-00015
133. Scientific diasporas and the advancement of science diplomacy: The InFEWS US-China program in the face of confrontational “America First” diplomacy J. Prieto & C. Scott 10.3389/frma.2022.944333
134. Evaluation of global terrestrial evapotranspiration in CMIP6 models Z. Wang et al. 10.1007/s00704-020-03437-4
135. Vapour pressure deficit is the main driver of tree canopy conductance across biomes V. Flo et al. 10.1016/j.agrformet.2022.109029
136. Widespread and complex drought effects on vegetation physiology inferred from space W. Li et al. 10.1038/s41467-023-40226-9
137. Intra-annual vegetation changes and spatial variation in China over the past two decades based on remote sensing and time-series clustering X. Cheng et al. 10.1007/s10661-024-12816-7
138. Evaluating a land surface model at a water-limited site: implications for land surface contributions to droughts and heatwaves M. Mu et al. 10.5194/hess-25-447-2021
139. Main influencing factors of terrestrial evapotranspiration for different land cover types over the Tibetan Plateau in 1982–2014 X. Li et al. 10.3389/fenvs.2024.1346469
140. Contribution of climate and catchment characteristics to runoff variations in Indian river basins: a climate elasticity approach N. Mandal & K. Chanda 10.1080/02626667.2023.2236092
141. Investigating Whether the Ensemble Average of Multi-Global-Climate-Models Can Necessarily Better Project Seasonal Drought Conditions in China J. Liu et al. 10.3390/atmos14091408
142. Coupled models of water and carbon cycles from leaf to global: A retrospective and a prospective Y. Wang et al. 10.1016/j.agrformet.2024.110229
143. Uncertainty assessment of satellite remote-sensing-based evapotranspiration estimates: a systematic review of methods and gaps B. Tran et al. 10.5194/hess-27-4505-2023
144. Environmental changes promoted vegetation growth and reduced water yield over the temperate semi-arid grassland of China during 1901–2016 X. Pang et al. 10.1016/j.jhydrol.2023.129235
145. A review on models, products and techniques for evapotranspiration measurement, estimation, and validation M. Bariş & M. Tombul 10.1002/tqem.22250
146. Crop water use dynamics over arid and semi-arid croplands in the lower Colorado River Basin N. Abbasi et al. 10.1080/22797254.2023.2259244
147. Development of a Temperature-Based Model Using Machine Learning Algorithms for the Projection of Evapotranspiration of Peninsular Malaysia M. Muhammad et al. 10.3390/w14182858
148. Linking global terrestrial CO&lt;sub&gt;2&lt;/sub&gt; fluxes and environmental drivers: inferences from the Orbiting Carbon Observatory 2 satellite and terrestrial biospheric models Z. Chen et al. 10.5194/acp-21-6663-2021
149. A Review of Machine Learning Applications in Land Surface Modeling S. Pal & P. Sharma 10.3390/earth2010011