102 citations as recorded by crossref.

1. Climate–water interactions—Challenges for improved representation in integrated assessment models A. Bell et al. https://doi.org/10.1016/j.eneco.2013.12.016
2. Development and application of a catchment scale pesticide fate and transport model for use in drinking water risk assessment S. Pullan et al. https://doi.org/10.1016/j.scitotenv.2016.04.135
3. Impacts of climate variability and change on drought characteristics in the Niger River Basin, West Africa P. Oguntunde et al. https://doi.org/10.1007/s00477-017-1484-y
4. Assessing the ability of potential evaporation models to capture the sensitivity to temperature Z. Liu et al. https://doi.org/10.1016/j.agrformet.2022.108886
5. Foliage temperature extraction from thermal imagery for crop water stress determination M. Meron et al. https://doi.org/10.1007/s11119-013-9310-0
6. Effectiveness of introducing crop coefficient and leaf area index to enhance evapotranspiration simulations in hydrologic models D. Birhanu et al. https://doi.org/10.1002/hyp.13464
7. Which Potential Evapotranspiration Formula to Use in Hydrological Modeling World‐Wide? R. Pimentel et al. https://doi.org/10.1029/2022WR033447
8. Version 4 of the CRU TS monthly high-resolution gridded multivariate climate dataset I. Harris et al. https://doi.org/10.1038/s41597-020-0453-3
9. Response of evapotranspiration and water availability to changing climate and land cover on the Mongolian Plateau during the 21st century Y. Liu et al. https://doi.org/10.1016/j.gloplacha.2013.06.008
10. Potential evaporation at eddy-covariance sites across the globe W. Maes et al. https://doi.org/10.5194/hess-23-925-2019
11. The role of hydrology on enhanced weathering for carbon sequestration II. From hydroclimatic scenarios to carbon-sequestration efficiencies G. Cipolla et al. https://doi.org/10.1016/j.advwatres.2021.103949
12. Selecting the optimal method to calculate daily global reference potential evaporation from CFSR reanalysis data for application in a hydrological model study F. Sperna Weiland et al. https://doi.org/10.5194/hess-16-983-2012
13. Predictive Evapotranspiration Equations in Rain Gardens A. Hess et al. https://doi.org/10.1061/(ASCE)IR.1943-4774.0001389
14. Comparison of Big‐Leaf, Two‐Big‐Leaf, and Two‐Leaf Upscaling Schemes for Evapotranspiration Estimation Using Coupled Carbon‐Water Modeling X. Luo et al. https://doi.org/10.1002/2017JG003978
15. Seasonal Changes in Water and Energy Balances over the Appalachian Region and Beyond throughout the Twenty-First Century R. Fernandez & N. Zegre https://doi.org/10.1175/JAMC-D-18-0093.1
16. Pan-European seasonal trends and recent changes of drought frequency and severity J. Spinoni et al. https://doi.org/10.1016/j.gloplacha.2016.11.013
17. Assessing Uncertainties of Water Footprints Using an Ensemble of Crop Growth Models on Winter Wheat K. Kersebaum et al. https://doi.org/10.3390/w8120571
18. Alternative methods to predict actual evapotranspiration illustrate the importance of accounting for phenology – Part 2: The event driven phenology model V. Kovalskyy & G. Henebry https://doi.org/10.5194/bg-9-161-2012
19. Assessment of current water pollution loads in Europe: estimation of gridded loads for use in global water quality models R. Williams et al. https://doi.org/10.1002/hyp.9427
20. A shift towards temperature-dominated droughts in agricultural basins of Türkiye M. Khandandel et al. https://doi.org/10.1007/s11069-025-07633-1
21. Near real-time estimation of daytime and nighttime evapotranspiration using GOES-R observations and machine learning models S. Ranjbar et al. https://doi.org/10.5194/hess-30-4927-2026
22. Influence of time-dependent ground surface flux on aquifer recharge with a vadose zone injection well C. Qi et al. https://doi.org/10.1016/j.jhydrol.2020.124739
23. A Robust Drought Index Accounting Changing Precipitation Characteristics G. Singh et al. https://doi.org/10.1029/2020WR029496
24. ArcE: A GIS tool for modelling actual evapotranspiration S. España et al. https://doi.org/10.1016/j.cageo.2011.03.008
25. Detection of dual effects of degradation of perennial snow and ice covers on the hydrologic regime of a Himalayan river basin by stream water availability modeling B. Mukhopadhyay https://doi.org/10.1016/j.jhydrol.2011.06.005
26. Soil salinization and critical shallow groundwater depth under saline irrigation condition in a Saharan irrigated land Z. Haj-Amor et al. https://doi.org/10.1007/s12517-017-3093-y
27. Terrain Segmentation of Greece Using the Spatial and Seasonal Variation of Reference Crop Evapotranspiration V. Aschonitis et al. https://doi.org/10.1155/2016/3092671
28. Calibration of Hargreaves–Samani equation for estimating reference evapotranspiration in semiarid and arid regions M. Heydari & M. Heydari https://doi.org/10.1080/03650340.2013.808740
29. Will drought events become more frequent and severe in Europe? J. Spinoni et al. https://doi.org/10.1002/joc.5291
30. Future Global Meteorological Drought Hot Spots: A Study Based on CORDEX Data J. Spinoni et al. https://doi.org/10.1175/JCLI-D-19-0084.1
31. Crop Reference Evapotranspiration: A Discussion of the Concept, Analysis of the Process and Validation N. Katerji & G. Rana https://doi.org/10.1007/s11269-010-9762-1
32. Current and future irrigation water requirements in pan-Europe: An integrated analysis of socio-economic and climate scenarios R. Schaldach et al. https://doi.org/10.1016/j.gloplacha.2012.06.004
33. 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
34. A Comparative Study of Potential Evapotranspiration Estimation by Eight Methods with FAO Penman–Monteith Method in Southwestern China D. Lang et al. https://doi.org/10.3390/w9100734
35. Evapotranspiration simulations in ISIMIP2a—Evaluation of spatio-temporal characteristics with a comprehensive ensemble of independent datasets R. Wartenburger et al. https://doi.org/10.1088/1748-9326/aac4bb
36. Opuntia ficus-indica under climatic pressure: evapotranspiration dynamics and adaptive resilience in semi-arid Tunisia T. Hermassi et al. https://doi.org/10.3389/fagro.2026.1867869
37. Assessing the sensitivity of SWAT physical parameters to potential evapotranspiration estimation methods over a coastal plain watershed in the southeastern United States S. Samadi https://doi.org/10.2166/nh.2016.034
38. Various measures of potential evapotranspiration have species-specific impact on species distribution models A. Adhikari et al. https://doi.org/10.1016/j.ecolmodel.2019.108836
39. Response of streamflow to climate variability and changes in human activities in the semiarid highlands of northern Ethiopia A. Fenta et al. https://doi.org/10.1007/s10113-017-1103-y
40. Evaluating evapotranspiration estimation methods in APEX model for dryland cropping systems in a semi-arid region H. Tadesse et al. https://doi.org/10.1016/j.agwat.2018.04.007
41. Linear models for estimating annual and growing season reference evapotranspiration using averages of weather variables N. Cristea et al. https://doi.org/10.1002/joc.3430
42. Time trend in reference evapotranspiration: analysis of a long series of agrometeorological measurements in Southern Italy A. Palumbo et al. https://doi.org/10.1007/s10795-012-9132-7
43. Impacts of climate change on groundwater level and irrigation cost in a groundwater dependent irrigated region G. Salem et al. https://doi.org/10.1016/j.agwat.2018.06.011
44. Irrigated areas drive irrigation water withdrawals A. Puy et al. https://doi.org/10.1038/s41467-021-24508-8
45. Estimating actual, potential, reference crop and pan evaporation using standard meteorological data: a pragmatic synthesis T. McMahon et al. https://doi.org/10.5194/hess-17-1331-2013
46. A high measurement frequency based assessment of shallow groundwater fluctuations in Metouia Oasis, South Tunisia M. Ibrahimi et al. https://doi.org/10.3178/hrl.4.75
47. High-resolution global grids of revised Priestley–Taylor and Hargreaves–Samani coefficients for assessing ASCE-standardized reference crop evapotranspiration and solar radiation V. Aschonitis et al. https://doi.org/10.5194/essd-9-615-2017
48. Current state and future development of blue water availability and blue water demand: A view at seven case studies L. Menzel & A. Matovelle https://doi.org/10.1016/j.jhydrol.2010.02.018
49. Correcting Thornthwaite potential evapotranspiration using a global grid of local coefficients to support temperature-based estimations of reference evapotranspiration and aridity indices V. Aschonitis et al. https://doi.org/10.5194/essd-14-163-2022
50. Comparing Cotton ET Data from a Satellite Platform, In Situ Sensor, and Soil Water Balance Method in Arizona E. Elsadek et al. https://doi.org/10.3390/agriculture16020228
51. Modeling the interaction between evaporation and chemical composition in a natural saline system P. Gamazo et al. https://doi.org/10.1016/j.jhydrol.2011.02.018
52. Effects of land use on annual runoff and soil loss in Europe and the Mediterranean W. Maetens et al. https://doi.org/10.1177/0309133312451303
53. Estimation of reference evapotranspiration using multivariate fractional polynomial, Bayesian regression, and robust regression models in three arid environments M. Khoshravesh et al. https://doi.org/10.1007/s13201-015-0368-x
54. Global irrigation water demand: Variability and uncertainties arising from agricultural and climate data sets D. Wisser et al. https://doi.org/10.1029/2008GL035296
55. A parameter parsimonious approach for catchment scale urban hydrology – Which processes are important? T. Skaugen et al. https://doi.org/10.1016/j.hydroa.2020.100060
56. Prediction of Biome-Specific Potential Evapotranspiration in Mongolia under a Scarcity of Weather Data K. Batsukh et al. https://doi.org/10.3390/w13182470
57. Testing the maximum entropy production approach for estimating evapotranspiration from closed canopy shrubland in a low‐energy humid environment H. Wang et al. https://doi.org/10.1002/hyp.11363
58. Characterisation and modelling of conduit restricted karst aquifers – Example of the Auja spring, Jordan Valley S. Schmidt et al. https://doi.org/10.1016/j.jhydrol.2014.02.019
59. Seasonality in cholera dynamics: A rainfall-driven model explains the wide range of patterns in endemic areas T. Baracchini et al. https://doi.org/10.1016/j.advwatres.2016.11.012
60. Groundwater-dependent irrigation costs and benefits for adaptation to global change G. Salem et al. https://doi.org/10.1007/s11027-017-9767-7
61. A Stream Water Availability Model of Upper Indus Basin Based on a Topologic Model and Global Climatic Datasets B. Mukhopadhyay & A. Dutta https://doi.org/10.1007/s11269-010-9666-0
62. Evaluation of FAO’s WaPOR product in estimating the reference evapotranspiration for stream flow modeling F. Geshnigani et al. https://doi.org/10.1007/s00704-021-03534-y
63. The patterns of potential evapotranspiration and seasonal aridity under the change in climate in the upper Blue Nile basin, Ethiopia G. Gismu Chakilu et al. https://doi.org/10.1016/j.jhydrol.2024.131841
64. Integrating Remote Sensing Data on Evapotranspiration and Leaf Area Index with Hydrological Modeling: Impacts on Model Performance and Future Predictions D. Parr et al. https://doi.org/10.1175/JHM-D-15-0009.1
65. A comparison of models for estimating potential evapotranspiration for Florida land cover types E. Douglas et al. https://doi.org/10.1016/j.jhydrol.2009.04.029
66. Prediction of annual reference evapotranspiration using climatic data Y. Li et al. https://doi.org/10.1016/j.agwat.2009.10.001
67. Optimum Abstraction of Groundwater for Sustaining Groundwater Level and Reducing Irrigation Cost G. Salem et al. https://doi.org/10.1007/s11269-017-1623-8
68. Global evaluation of runoff from 10 state-of-the-art hydrological models H. Beck et al. https://doi.org/10.5194/hess-21-2881-2017
69. Understanding the water cycle over the upper Tarim Basin: retrospecting the estimated discharge bias to atmospheric variables and model structure X. Zhou et al. https://doi.org/10.5194/hess-22-6087-2018
70. A Global Assessment of Terrestrial Evapotranspiration Increase Due to Surface Water Area Change S. Zhan et al. https://doi.org/10.1029/2018EF001066
71. Evaluation of six potential evapotranspiration models for estimating crop potential and actual evapotranspiration in arid regions S. Li et al. https://doi.org/10.1016/j.jhydrol.2016.10.022
72. Spatial variation in forest soil respiration: A systematic review of field observations at the global scale Y. Cai et al. https://doi.org/10.1016/j.scitotenv.2023.162348
73. Estimation of evapotranspiration from measured meteorological parameters R. Shrivastava et al. https://doi.org/10.4103/rpe.rpe_13_22
74. Comparison of different evaporation estimates over the African continent P. Trambauer et al. https://doi.org/10.5194/hess-18-193-2014
75. Recharge estimation and soil moisture dynamics in a Mediterranean, semi-arid karst region F. Ries et al. https://doi.org/10.5194/hess-19-1439-2015
76. Evaluation of potential evapotranspiration models over fluxdata network cropland sites Z. He et al. https://doi.org/10.1016/j.jhydrol.2024.132084
77. The sensitivity of the PDSI to the Thornthwaite and Penman-Monteith parameterizations for potential evapotranspiration G. van der Schrier et al. https://doi.org/10.1029/2010JD015001
78. Multi-Objective Validation of SWAT for Sparsely-Gauged West African River Basins—A Remote Sensing Approach T. Poméon et al. https://doi.org/10.3390/w10040451
79. Total evaporation estimation for accurate water accounting purposes: an appraisal of various available estimation methods C. Shoko et al. https://doi.org/10.1080/10106049.2016.1208682
80. Uncertainty in future irrigation water demand and risk of crop failure for maize in Europe H. Webber et al. https://doi.org/10.1088/1748-9326/11/7/074007
81. Glacier Mass Balance and Catchment-Scale Water Balance in Bolivian Andes T. Liu et al. https://doi.org/10.20965/jdr.2016.p1040
82. Bias Correction of Global High-Resolution Precipitation Climatologies Using Streamflow Observations from 9372 Catchments H. Beck et al. https://doi.org/10.1175/JCLI-D-19-0332.1
83. Assessing Satellite and Ground‐Based Potential Evapotranspiration for Hydrologic Applications in the Colorado River Basin M. Barik et al. https://doi.org/10.1111/1752-1688.12370
84. Sensitivity analysis of 18 different potential evapotranspiration models to observed climatic change at German climate stations H. Bormann https://doi.org/10.1007/s10584-010-9869-7
85. High resolution water body mapping for SWAT evaporative modelling in the Upper Oconee watershed of Georgia, USA A. Ignatius & J. Jones https://doi.org/10.1002/hyp.11398
86. Advances and visions in large-scale hydrological modelling: findings from the 11th Workshop on Large-Scale Hydrological Modelling P. Döll et al. https://doi.org/10.5194/adgeo-18-51-2008
87. Evapotranspiration in Rain Gardens Using Weighing Lysimeters A. Hess et al. https://doi.org/10.1061/(ASCE)IR.1943-4774.0001157
88. A Thorough Evaluation of 127 Potential Evapotranspiration Models in Two Mediterranean Urban Green Sites N. Proutsos et al. https://doi.org/10.3390/rs15143680
89. Development of a Coupled Land Surface Hydrologic Model and Evaluation at a Critical Zone Observatory Y. Shi et al. https://doi.org/10.1175/JHM-D-12-0145.1
90. Comparison of evapotranspiration estimates based on the surface water balance, modified Penman‐Monteith model, and reanalysis data sets for continental China Y. Mao & K. Wang https://doi.org/10.1002/2016JD026065
91. Water scarcity, data scarcity and the Budyko curve—An application in the Lower Jordan River Basin A. Gunkel & J. Lange https://doi.org/10.1016/j.ejrh.2017.04.004
92. Influence of climatic factors on variation in the Normalised Difference Vegetation Index in Mongolian Plateau grasslands X. Cao et al. https://doi.org/10.1071/RJ16073
93. Evaluating CFSR and WATCH Data as Input to SWAT for the Estimation of the Potential Evapotranspiration in a Data-Scarce Eastern-African Catchment T. Alemayehu et al. https://doi.org/10.1061/(ASCE)HE.1943-5584.0001305
94. How much water is stolen by sewers? Estimating watershed-level inflow and infiltration throughout a metropolitan area J. Diem et al. https://doi.org/10.1016/j.jhydrol.2022.128629
95. Estimating Daily Reference Evapotranspiration in a Semi-Arid Region Using Remote Sensing Data P. Najmaddin et al. https://doi.org/10.3390/rs9080779
96. Comparison of Ten Potential Evapotranspiration Models and Their Attribution Analyses for Ten Chinese Drainage Basins R. Xie & A. Wang https://doi.org/10.1007/s00376-020-2105-0
97. Northwest Ohio crop yield benefits of water capture and subirrigation based on future climate change projections W. Baule et al. https://doi.org/10.1016/j.agwat.2017.04.019
98. Classification and Prediction of Natural Streamflow Regimes in Arid Regions of the USA A. Merritt et al. https://doi.org/10.3390/w13030380
99. Remote sensing and ground-based measurements of evapotranspiration in an extreme cold Patagonian desert P. Cristiano et al. https://doi.org/10.1002/hyp.10934
100. Applying Dalton’s law of potential evaporation rate over the territory of Russia and neighboring countries using long-term observation data M. Korzukhin et al. https://doi.org/10.3103/S1068373911120028
101. Uncertainties of Water Fluxes in Soil–Vegetation–Atmosphere Transfer Models: Inverting Surface Soil Moisture and Evapotranspiration Retrieved from Remote Sensing J. Pollacco & B. Mohanty https://doi.org/10.2136/vzj2011.0167
102. Evapotranspiration and energy balance dynamics of a semi-arid mountainous steppe and shrubland site in Northern Mongolia S. Minderlein & L. Menzel https://doi.org/10.1007/s12665-014-3335-1