76 citations as recorded by crossref.

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3. Spatio-Temporal Variation of Water Availability in a River Basin under CORDEX Simulated Future Projections J. Das & N. Umamahesh 10.1007/s11269-017-1876-2
4. Changes of potential evapotranspiration and its sensitivity across China under future climate scenarios P. Zeng et al. 10.1016/j.atmosres.2021.105763
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7. Machine Learning-Based Estimation of Daily Cropland Evapotranspiration in Diverse Climate Zones C. Du et al. 10.3390/rs16050730
8. Spatial assessment of drought features over different climates and seasons across Iran S. Sharafi & M. Ghaleni 10.1007/s00704-021-03853-0
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10. Long‐Term Variability in the Arabian Peninsula Droughts Driven by the Atlantic Multidecadal Oscillation M. Saharwardi et al. 10.1029/2023EF003549
11. Seasonal Changes in Water and Energy Balances over the Appalachian Region and Beyond throughout the Twenty-First Century R. Fernandez & N. Zegre 10.1175/JAMC-D-18-0093.1
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19. GIS based water balance components estimation in northern Ethiopia catchment T. Gebru & G. Tesfahunegn 10.1016/j.still.2019.104514
20. Spatio‐temporal variability of reference crop evapotranspiration at different timescales in Sichuan Province, south‐west China* J. Wu et al. 10.1002/ird.2656
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22. The Uncertainty of Penman‐Monteith Method and the Energy Balance Closure Problem X. Hao et al. 10.1029/2018JD028371
23. Recovering Evapotranspiration Trends from Biased CMIP5 Simulations and Sensitivity to Changing Climate over North America R. Sullivan et al. 10.1175/JHM-D-18-0259.1
24. A Method for Identifying the Dominant Meteorological Factors of Atmospheric Evaporative Demand in Mid‐Long Term S. Liu et al. 10.1029/2022WR033321
25. Assessment of spatial and temporal distribution of surface water balance in a data-scarce African transboundary river basin A. Hirbo Gelebo et al. 10.1080/02626667.2022.2094268
26. Modelling Actual Evapotranspiration Seasonal Variability by Meteorological Data-Based Models M. Mobilia et al. 10.3390/hydrology7030050
27. Characteristics of Potential Evapotranspiration Changes and Its Climatic Causes in Heilongjiang Province from 1960 to 2019 T. Nie et al. 10.3390/agriculture12122017
28. Spatial and Temporal Variations of Potential Evapotranspiration in the Loess Plateau of China During 1960–2017 C. Sun et al. 10.3390/su12010354
29. Quantitative exploration of the innovative trend method for evapotranspiration and its sensitivity to climatic variables: The case study of Southeast Vietnam P. Ha et al. 10.1007/s12145-023-01176-4
30. Quantifying the Spatiotemporal Variation of Evapotranspiration of Different Land Cover Types and the Contribution of Its Associated Factors in the Xiliao River Plain N. Lin et al. 10.3390/rs14020252
31. Quantifying the Responses of Evapotranspiration and Its Components to Vegetation Restoration and Climate Change on the Loess Plateau of China L. Qiu et al. 10.3390/rs13122358
32. Assessing the physical and empirical reference evapotranspiration (ETo) models and time series analyses of the influencing weather variables on ETo in a semi-arid area S. Ahmadi & Z. Javanbakht 10.1016/j.jenvman.2020.111278
33. Estimating Water Use Efficiency for Major Crops in Chihuahua, Mexico: Crop Yield Function Models vs. Evapotranspiration O. Villalobos-Cano et al. 10.3390/su16051851
34. An Improved Approach for Estimating Pan Evaporation Using a New Aerodynamic Mechanism Model G. Qiu et al. 10.1029/2020WR027870
35. Wireless Sensor Network System for Precision Irrigation using Soil and Plant Based Near-Real Time Monitoring Sensors S. Siddiqi & Y. Al-Mulla 10.1016/j.procs.2022.07.053
36. Simulation of actual evapotranspiration from agricultural landscapes in the Canadian Prairies M. Martel et al. 10.1016/j.ejrh.2017.11.010
37. Potential Evapotranspiration Reduction and Its Influence on Crop Yield in the North China Plain in 1961–2014 W. Dong et al. 10.1155/2020/3691421
38. Prediction of Future Spatial and Temporal Evolution Trends of Reference Evapotranspiration in the Yellow River Basin, China S. Jian et al. 10.3390/rs14225674
39. Twenty-First Century Streamflow and Climate Change in Forest Catchments of the Central Appalachian Mountains Region, US B. Gaertner et al. 10.3390/w12020453
40. Estimating Global Distribution of Evapotranspiration and Water Balance Using Complementary Methods F. Anayah & J. Kaluarachchi 10.1080/07055900.2019.1656052
41. Divergence of potential evapotranspiration trends over Pakistan during 1967–2016 K. Ahmed et al. 10.1007/s00704-020-03195-3
42. Historical Rainfall and Evapotranspiration Changes over Mpologoma Catchment in Uganda A. Mubialiwo et al. 10.1155/2020/8870935
43. Assessment of the impact of climate change on current and future flows of the ungauged Aga-Foua-Djilas watershed: a comparative study of hydrological models CWatM under ISIMIP and HMF-WA P. Dione et al. 10.1007/s13201-024-02219-x
44. Projecting potential evapotranspiration change and quantifying its uncertainty under future climate scenarios: A case study in southeastern Australia L. Shi et al. 10.1016/j.jhydrol.2020.124756
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46. Floating Azolla Cover Influences Evapotranspiration from Flooded Water Surfaces S. Kimani et al. 10.1007/s13157-020-01282-9
47. Effect of Elevation on Variation in Reference Evapotranspiration under Climate Change in Northwest China W. Liu et al. 10.3390/su131810151
48. Groundwater system and climate change: Present status and future considerations A. Amanambu et al. 10.1016/j.jhydrol.2020.125163
49. The role of high-biodiversity regions in preserving Nature’s Contributions to People M. Cimatti et al. 10.1038/s41893-023-01179-5
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51. Nonstationary Modeling of Meteorological Droughts: Application to a Region in India S. Das et al. 10.1061/(ASCE)HE.1943-5584.0002039
52. Quantifying future drought change and associated uncertainty in southeastern Australia with multiple potential evapotranspiration models L. Shi et al. 10.1016/j.jhydrol.2020.125394
53. Performance of potential evapotranspiration models across different climatic stations in New South Wales, Australia L. Shi et al. 10.1016/j.ejrh.2023.101573
54. Uncertainty and Sensitivity Analysis of a Remote-Sensing-Based Penman–Monteith Model to Meteorological and Land Surface Input Variables N. Majozi et al. 10.3390/rs13050882
55. The impact of clear-sky biases of land surface temperature on monthly evapotranspiration estimation X. Pan et al. 10.1016/j.jag.2024.103811
56. Sensitivity of potential evapotranspiration to meteorological factors and their elevational gradients in the Qilian Mountains, northwestern China Y. Yang et al. 10.1016/j.jhydrol.2018.10.069
57. Analysis of Dynamic Spatiotemporal Changes in Actual Evapotranspiration and Its Associated Factors in the Pearl River Basin Based on MOD16 T. Zhang & Y. Chen 10.3390/w9110832
58. A Correlation–Scale–Threshold Method for Spatial Variability of Rainfall B. Sivakumar et al. 10.3390/hydrology6010011
59. Effects of various driving factors on potential evapotranspiration trends over the main grain-production area of China while accounting for vegetation dynamics H. Zhao & Y. Ma 10.1016/j.agwat.2021.106854
60. Evaluation and estimation of daily global solar radiation from the estimated direct and diffuse solar radiation M. Xiao et al. 10.1007/s00704-020-03140-4
61. Spatiotemporal distributions of pan evaporation and the influencing factors in China from 1961 to 2017 Z. Niu et al. 10.1007/s11356-021-15386-0
62. Quantitative Analysis of the Impact of Meteorological Factors on Reference Evapotranspiration Changes in Beijing, 1958–2017 W. Liu et al. 10.3390/w12082263
63. A novel partitioning of gross primary production and water use efficiency for sustaining water and food security using Budyko hypothesis D. Chatterjee et al. 10.1016/j.scitotenv.2023.169283
64. Potential evaporation at eddy-covariance sites across the globe W. Maes et al. 10.5194/hess-23-925-2019
65. Ecohydrology of coastal aquifers in humid environments and implications of a drying climate M. Dyring et al. 10.1002/eco.2491
66. Shortwave radiation balance modulates potential evapotranspiration over China F. Jiang et al. 10.1080/17538947.2023.2198267
67. Modelling climate change impact on water resources of the Upper Indus Basin J. Ougahi et al. 10.2166/wcc.2021.233
68. Combination of Limited Meteorological Data for Predicting Reference Crop Evapotranspiration Using Artificial Neural Network Method A. Elbeltagi et al. 10.3390/agronomy12020516
69. Clarifying the Role of ENSO on Easter Island Precipitation Changes: Potential Environmental Implications for the Last Millennium T. Delcroix et al. 10.1029/2022PA004514
70. A case study of the RothC soil carbon model with potential evapotranspiration and remote sensing model inputs E. Maas & R. Lal 10.1016/j.rsase.2022.100876
71. Future changes of global potential evapotranspiration simulated from CMIP5 to CMIP6 models X. LIU et al. 10.1080/16742834.2020.1824983
72. Hydrologic Impact of Climate Change in the Jaguari River in the Cantareira Reservoir System L. Domingues et al. 10.3390/w14081286
73. Sensitivity of evapotranspiration to climate change using DSSAT model in sub humid climate region of Eastern Uttar Pradesh S. Tyagi et al. 10.1007/s40808-018-0513-2
74. Parametric Modelling of Potential Evapotranspiration: A Global Survey A. Tegos et al. 10.3390/w9100795
75. Quantitative exploration of the innovative trend method for evapotranspiration and its sensitivity to climatic variables: The case study of Southeast Vietnam P. Ha et al. 10.1007/s12145-023-01176-4
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