59 citations as recorded by crossref.

1. Biophsyical constraints on gross primary production by the terrestrial biosphere H. Wang et al. https://doi.org/10.5194/bg-11-5987-2014
2. Changes in the Shadow: The Shifting Role of Shaded Leaves in Global Carbon and Water Cycles Under Climate Change L. He et al. https://doi.org/10.1029/2018GL077560
3. Data-driven estimates of evapotranspiration and its controls in the Congo Basin M. Burnett et al. https://doi.org/10.5194/hess-24-4189-2020
4. The Resilience of Inter-basin Transfers to Severe Droughts With Changing Spatial Characteristics A. Murgatroyd & J. Hall https://doi.org/10.3389/fenvs.2020.571647
5. Separating the impacts of climate change and human activities on actual evapotranspiration in Aksu River Basin ecosystems, Northwest China P. Yang et al. https://doi.org/10.2166/nh.2018.136
6. A case study of regional eco-hydrological characteristics in the Tao River Basin, northwestern China, based on evapotranspiration estimated by a coupled Budyko Equation-crop coefficient approach C. Li et al. https://doi.org/10.1007/s11430-015-5087-5
7. Global Analysis of Ecosystem Evapotranspiration Response to Precipitation Deficits B. He et al. https://doi.org/10.1002/2017JD027817
8. Climatic and terrestrial storage control on evapotranspiration temporal variability: Analysis of river basins around the world R. Zeng & X. Cai https://doi.org/10.1002/2015GL066470
9. Evaluation of Evapotranspiration Estimates in the Yellow River Basin against the Water Balance Method G. Wang et al. https://doi.org/10.3390/w10121884
10. Spatiotemporal pattern of terrestrial evapotranspiration in China during the past thirty years X. Li et al. https://doi.org/10.1016/j.agrformet.2018.04.020
11. The intercomparison of six 0.1°×0.1° spatial resolution evapotranspiration products across mainland China X. Shi et al. https://doi.org/10.1016/j.jhydrol.2024.130949
12. Carbon Dioxide: The Good News I. Goklany https://doi.org/10.2139/ssrn.2674685
13. Disentangling climatic and anthropogenic controls on global terrestrial evapotranspiration trends J. Mao et al. https://doi.org/10.1088/1748-9326/10/9/094008
14. Mechanistic Pathways Linking African Aerosols to Vegetation Productivity: Insights from Multi-Source Remote Sensing and SEM B. Su et al. https://doi.org/10.3390/atmos17040355
15. Minimizing uncertainties in climate projections and water budget reveals the vulnerability of freshwater to climate change O. Adeyeri et al. https://doi.org/10.1016/j.oneear.2023.12.013
16. Long-term trends in climate and hydrology in an agricultural, headwater watershed of central Pennsylvania, USA H. Lu et al. https://doi.org/10.1016/j.ejrh.2015.10.004
17. Copula-based standardized precipitation evapotranspiration index and its evaluation in China H. Bai https://doi.org/10.1016/j.jhydrol.2022.128587
18. Near constant groundwater recharge efficiency under global change in a central European catchment T. Riedel et al. https://doi.org/10.1002/hyp.14805
19. Assessing impacts of climate change and human activities on the abnormal correlation between actual evaporation and atmospheric evaporation demands in southeastern China H. Bai et al. https://doi.org/10.1016/j.scs.2020.102075
20. Kinds of freshwater and their relation to ecosystem services and human well-being S. Hayat & J. Gupta https://doi.org/10.2166/wp.2016.182
21. Constrained CMIP6 projections indicate less warming and a slower increase in water availability across Asia Y. Chai et al. https://doi.org/10.1038/s41467-022-31782-7
22. Evaluation and error attribution of evapotranspiration products over the Haihe River Basin: Implications for irrigation scheduling and agricultural water management X. Ju & S. Chen https://doi.org/10.1016/j.agwat.2026.110358
23. Detection of Changes in Evapotranspiration on a Catchment Scale Under Changing Climate Conditions in Selected River Basins of Slovakia A. Keszeliová et al. https://doi.org/10.2478/sjce-2022-0029
24. The divergence of energy- and water-balance evapotranspiration estimates in humid regions L. Zhang et al. https://doi.org/10.1016/j.jhydrol.2023.129971
25. Multimodel assessment of sensitivity and uncertainty of evapotranspiration and a proxy for available water resources under climate change V. Mishra et al. https://doi.org/10.1007/s10584-016-1886-8
26. Trends in Global Flood and Streamflow Timing Based on Local Water Year C. Wasko et al. https://doi.org/10.1029/2020WR027233
27. Imprints of increases in evapotranspiration on decreases in streamflow during dry periods, a large-sample analysis in Germany G. Bruno et al. https://doi.org/10.5194/hess-29-4473-2025
28. Comparing the ability of different remotely sensed evapotranspiration products in enhancing hydrological model performance and reducing prediction uncertainty S. Taia et al. https://doi.org/10.1016/j.ecoinf.2023.102352
29. Daily streamflow trends in Western versus Eastern Norway and their attribution to hydro‐meteorological drivers A. Skålevåg & K. Vormoor https://doi.org/10.1002/hyp.14329
30. The Predictability of Annual Evapotranspiration and Runoff in Humid and Nonhumid Catchments over China: Comparison and Quantification T. Wang et al. https://doi.org/10.1175/JHM-D-17-0165.1
31. Eco‐evolutionary optimality as a means to improve vegetation and land‐surface models S. Harrison et al. https://doi.org/10.1111/nph.17558
32. Estimating Monthly Energy Fluxes Using Observations of Near-Surface Air Temperature, Humidity and Radiosonde Profiles D. Brondani et al. https://doi.org/10.1007/s10546-019-00429-4
33. How eddy covariance flux measurements have contributed to our understanding of Global Change Biology D. Baldocchi https://doi.org/10.1111/gcb.14807
34. Deep learning approaches for short-crop reference evapotranspiration estimation: a case study in Southeastern Australia U. Baishnab et al. https://doi.org/10.1007/s12145-024-01616-9
35. Robust Future Changes in Meteorological Drought in CMIP6 Projections Despite Uncertainty in Precipitation A. Ukkola et al. https://doi.org/10.1029/2020GL087820
36. Why has catchment evaporation increased in the past 40 years? A data-based study in Austria D. Duethmann & G. Blöschl https://doi.org/10.5194/hess-22-5143-2018
37. Towards a remote sensing data based evapotranspiration estimation in Northern Australia using a simple random forest approach V. Douna et al. https://doi.org/10.1016/j.jaridenv.2021.104513
38. Spatiotemporal Variability of Actual Evapotranspiration and the Dominant Climatic Factors in the Pearl River Basin, China W. Gao et al. https://doi.org/10.3390/atmos10060340
39. Evaluation of the performance of multiple reanalysis forcing data in potential evapotranspiration estimation and its implication for actual evapotranspiration modeling Y. Xie et al. https://doi.org/10.1016/j.jhydrol.2025.133472
40. Contributions of climate change and human activities to ET and GPP trends over North China Plain from 2000 to 2014 X. Chen et al. https://doi.org/10.1007/s11442-017-1399-z
41. Spatial Patterns in Actual Evapotranspiration Climatologies for Europe S. Stisen et al. https://doi.org/10.3390/rs13122410
42. Assessing the temporal variance of evapotranspiration considering climate and catchment storage factors R. Zeng & X. Cai https://doi.org/10.1016/j.advwatres.2015.02.008
43. Evapotranspiration and its Components in the Nile River Basin Based on Long-Term Satellite Assimilation Product I. Nooni et al. https://doi.org/10.3390/w11071400
44. Evapotranspiration estimation using four different machine learning approaches in different terrestrial ecosystems X. Dou & Y. Yang https://doi.org/10.1016/j.compag.2018.03.010
45. Simulation and evaluation of actual evapotranspiration based on inverse hydrological modeling at a basin scale Z. Liu et al. https://doi.org/10.1016/j.catena.2019.03.039
46. Notable shifts beyond pre-industrial streamflow and soil moisture conditions transgress the planetary boundary for freshwater change M. Porkka et al. https://doi.org/10.1038/s44221-024-00208-7
47. Reduced streamflow in water-stressed climates consistent with CO2 effects on vegetation A. Ukkola et al. https://doi.org/10.1038/nclimate2831
48. Assessing the Steady‐State Assumption in Water Balance Calculation Across Global Catchments J. Han et al. https://doi.org/10.1029/2020WR027392
49. Role of transpiration in modulating ecosystem services in secondary tropical montane forests of Eastern Himalaya in India M. Kumar et al. https://doi.org/10.1016/j.ecohyd.2024.04.001
50. Detection of Changes in the Hydrological Balance in Seven River Basins Along the Western Carpathians in Slovakia K. Anita et al. https://doi.org/10.2478/sjce-2021-0027
51. Unveiling the role of environmental variables in regulating surface water availability in the Three-River-Sources region, China X. Tang et al. https://doi.org/10.1080/17538947.2025.2523613
52. Performance of Sentinel-2 SAFER ET model for daily and seasonal estimation of grapevine water consumption A. Safre et al. https://doi.org/10.1007/s00271-022-00810-1
53. Metamorphic testing of machine learning and conceptual hydrologic models P. Reichert et al. https://doi.org/10.5194/hess-28-2505-2024
54. GRACE‐based Mass Conservation as a Validation Target for Basin‐Scale Evapotranspiration in the Contiguous United States M. Pascolini‐Campbell et al. https://doi.org/10.1029/2019WR026594
55. Reconciling historical changes in the hydrological cycle over land S. Hobeichi et al. https://doi.org/10.1038/s41612-022-00240-y
56. ECOSTRESS Reveals the Importance of Topography and Forest Structure for Evapotranspiration from a Tropical Forest Region of the Andes A. Valdés-Uribe et al. https://doi.org/10.3390/rs15122985
57. Actual evapotranspiration estimation and applicability assessment based on the Y-SEBAL model in China Y. Ma et al. https://doi.org/10.1016/j.jhydrol.2025.133476
58. Evapotranspiration Reconstruction Based on Land Surface Models and Observed Water Budget Components While Considering Irrigation M. Lv et al. https://doi.org/10.1175/JHM-D-19-0090.1
59. A worldwide evaluation of basin-scale evapotranspiration estimates against the water balance method W. Liu et al. https://doi.org/10.1016/j.jhydrol.2016.04.006