165 citations as recorded by crossref.

1. The mechanical effect of moisturization on airborne COVID-19 transmission and its potential use as control technique F. Arias & S. De Las Heras https://doi.org/10.1016/j.envres.2021.110940
2. The brinesiphon: A homolog of the thermosiphon driven by induced salinity and downward heat transfer F. Arias & S. de las Heras https://doi.org/10.1016/j.solener.2017.05.091
3. Mapping regional evapotranspiration in cloudy skies via variational assimilation of all-weather land surface temperature observations X. He et al. https://doi.org/10.1016/j.jhydrol.2020.124790
4. Revised Advection-Aridity Evaporation Model Y. Yang et al. https://doi.org/10.1061/(ASCE)HE.1943-5584.0000659
5. Effects of topography on the spatial distribution of evapotranspiration over a complex terrain using two‐source energy balance model with ASTER data H. Kafle & Y. Yamaguchi https://doi.org/10.1002/hyp.7336
6. Satellite assessment of land surface evapotranspiration for the pan‐Arctic domain Q. Mu et al. https://doi.org/10.1029/2008WR007189
7. Performance of LAI‐MODIS and the influence on drought simulation in a Mediterranean forest H. Chakroun et al. https://doi.org/10.1002/eco.1426
8. A method to correct eddy covariance flux underestimates under an advective environment for arid or semi-arid regions H. Su et al. https://doi.org/10.1016/j.pce.2016.08.009
9. Summer evapotranspiration in western Siberia: a comparison between eddy covariance and Penman method formulations E. Fleischer et al. https://doi.org/10.1002/hyp.10517
10. Effects of thinning on canopy transpiration of a dense Moso bamboo stand in Western Japan R. Ichihashi et al. https://doi.org/10.1080/13416979.2019.1647592
11. Estimates of tree root water uptake from soil moisture profile dynamics C. Jackisch et al. https://doi.org/10.5194/bg-17-5787-2020
12. A Critical Evaluation of the Nonparametric Approach to Estimate Terrestrial Evaporation Y. Yang et al. https://doi.org/10.1155/2016/5343718
13. Regional Estimation of Remotely Sensed Evapotranspiration Using the Surface Energy Balance-Advection (SEB-A) Method S. Liu et al. https://doi.org/10.3390/rs8080644
14. An evapotranspiration model driven by remote sensing data for assessing groundwater resource in karst watershed C. Ollivier et al. https://doi.org/10.1016/j.scitotenv.2021.146706
15. A Hybrid Model Coupling Physical Constraints and Machine Learning to Estimate Daily Evapotranspiration in the Heihe River Basin X. Li et al. https://doi.org/10.3390/rs16122143
16. E-DATA: A Comprehensive Field Campaign to Investigate Evaporation Enhanced by Advection in the Hyper-Arid Altiplano F. Suárez et al. https://doi.org/10.3390/w12030745
17. Vegetation index‐based crop coefficients to estimate evapotranspiration by remote sensing in agricultural and natural ecosystems E. Glenn et al. https://doi.org/10.1002/hyp.8392
18. Evapotranspiration over Land from a Boundary-Layer Meteorology Perspective J. Cuxart & A. Boone https://doi.org/10.1007/s10546-020-00550-9
19. Modeling evaporation processes in a saline soil from saturation to oven dry conditions M. Gran et al. https://doi.org/10.5194/hess-15-2077-2011
20. Effects of land cover change on evapotranspiration in the Yellow River Delta analyzed with the SEBAL model J. Ning et al. https://doi.org/10.1117/1.JRS.11.016009
21. Tundra permafrost thaw causes significant shifts in energy partitioning C. Stiegler et al. https://doi.org/10.3402/tellusb.v68.30467
22. A Spatially Explicit Crop Yield Model to Simulate Agricultural Productivity for Past Societies under Changing Environmental Conditions M. Van Loo & G. Verstraeten https://doi.org/10.3390/w13152023
23. True water constraint under a rainfall interception experiment in a Mediterranean shrubland (Northern Tunisia): confronting discrete measurements with a plant–soil water budget model D. Longepierre et al. https://doi.org/10.1007/s11258-014-0349-4
24. Spatial variation in annual actual evapotranspiration of terrestrial ecosystems in China: Results from eddy covariance measurements H. Zheng et al. https://doi.org/10.1007/s11442-016-1334-8
25. Sensitivity of potential evaporation estimates to 100 years of climate variability R. Bartholomeus et al. https://doi.org/10.5194/hess-19-997-2015
26. Understanding the coupling between the moisture loss and surface temperature in an evaporating leaf-type surface N. Kumar & J. Arakeri https://doi.org/10.1080/07373937.2020.1817062
27. Optimization of Blaney-Morin-Nigeria (BMN) model for estimating evapotranspiration in Enugu, Nigeria . Emmanuel et al. https://doi.org/10.5897/AJAR2016.10969
28. Integrated Surface–Groundwater Model for Storm-Water Harvesting Using Basic Mass Balance Principles I. Gogo-Abite et al. https://doi.org/10.1061/(ASCE)IR.1943-4774.0000518
29. Characteristics of summer-time energy exchange in a high Arctic tundra heath 2000–2010 M. Lund et al. https://doi.org/10.3402/tellusb.v66.21631
30. Improving time upscaling of instantaneous evapotranspiration based on machine learning models D. Yang et al. https://doi.org/10.1080/20964471.2024.2423431
31. Some insights into evaporation under natural convection from surfaces: soils to leaves N. Kumar & J. Arakeri https://doi.org/10.1007/s12046-025-02895-8
32. Estimating evaporation based on standard meteorological data – progress since 2007 M. Peel & T. McMahon https://doi.org/10.1177/0309133314522283
33. A review of remote sensing estimation of crop water productivity: definition, methodology, scale, and evaluation M. Cheng et al. https://doi.org/10.1080/01431161.2023.2240523
34. Measurement of Fluxes Over Land: Capabilities, Origins, and Remaining Challenges B. Hicks & D. Baldocchi https://doi.org/10.1007/s10546-020-00531-y
35. A nonparametric approach to estimating terrestrial evaporation: Validation in eddy covariance sites Y. Liu et al. https://doi.org/10.1016/j.agrformet.2012.01.012
36. Methodological differences in projected potential evapotranspiration S. McAfee https://doi.org/10.1007/s10584-013-0864-7
37. Pressure-Retarded Osmosis Thermosyphon F. Arias & S. de las Heras https://doi.org/10.1115/1.4039893
38. A dynamic surface conductance to predict crop water use from partial to full canopy cover R. Ding et al. https://doi.org/10.1016/j.agwat.2014.11.010
39. Regional Evapotranspiration Estimation by the Improved MOD16-sm Model and Its Application in Central China S. Liu et al. https://doi.org/10.3390/w14091491
40. Comprehensive and enhanced characterisation of wind-driven rain exposure on building façades throughout the Netherlands J. Pérez-Bella et al. https://doi.org/10.1016/j.buildenv.2025.112631
41. Multiscale Chemico-Thermo-Hydro-Mechanical Modeling of Early-Stage Hydration and Shrinkage of Cement Compounds Z. Liu & X. Yu https://doi.org/10.1061/(ASCE)MT.1943-5533.0000754
42. Anomalous trend in soil evaporation in a semi-arid, snow-dominated watershed R. Wang et al. https://doi.org/10.1016/j.advwatres.2013.03.004
43. Evaluation of NLDAS‐2 evapotranspiration against tower flux site observations Y. Xia et al. https://doi.org/10.1002/hyp.10299
44. Dependence of Biological Activity on the Surface Water Fraction of Planets M. Lingam & A. Loeb https://doi.org/10.3847/1538-3881/aaf420
45. Partitioning evapotranspiration into soil evaporation and transpiration using a modified dual crop coefficient model in irrigated maize field with ground-mulching R. Ding et al. https://doi.org/10.1016/j.agwat.2013.05.018
46. Groundwater-Surface Water Interaction in the Nera River Basin (Central Italy): New Insights after the 2016 Seismic Sequence L. Di Matteo et al. https://doi.org/10.3390/hydrology8030097
47. Fog interception by Ball moss (Tillandsia recurvata) A. Guevara-Escobar et al. https://doi.org/10.5194/hess-15-2509-2011
48. Bayesian multimodel estimation of global terrestrial latent heat flux from eddy covariance, meteorological, and satellite observations Y. Yao et al. https://doi.org/10.1002/2013JD020864
49. Measuring H2O and CO2 fluxes at field scales with scintillometry: Part II – Validation and application of 1-min flux estimates B. Van Kesteren et al. https://doi.org/10.1016/j.agrformet.2013.01.010
50. Development of an experimental approach to study coupled soil‐plant‐atmosphere processes using plant analogs A. Trautz et al. https://doi.org/10.1002/2016WR019884
51. Soil Respiration Is Influenced by Seasonality, Forest Succession and Contrasting Biophysical Controls in a Tropical Dry Forest in Northwestern Mexico M. Vargas-Terminel et al. https://doi.org/10.3390/soilsystems6040075
52. Historical developments of models for estimating evaporation using standard meteorological data T. McMahon et al. https://doi.org/10.1002/wat2.1172
53. A satellite-based hybrid algorithm to determine the Priestley–Taylor parameter for global terrestrial latent heat flux estimation across multiple biomes Y. Yao et al. https://doi.org/10.1016/j.rse.2015.05.013
54. Hydrological modelling of urbanized catchments: A review and future directions E. Salvadore et al. https://doi.org/10.1016/j.jhydrol.2015.06.028
55. Downscaling and Forecasting of Evapotranspiration Using a Synthetic Model of Wavelets and Support Vector Machines Y. Kaheil et al. https://doi.org/10.1109/TGRS.2008.919819
56. Canopy-scale biophysical controls of transpiration and evaporation in the Amazon Basin K. Mallick et al. https://doi.org/10.5194/hess-20-4237-2016
57. Aridity change and its correlation with greening over drylands B. He et al. https://doi.org/10.1016/j.agrformet.2019.107663
58. Experimental and Numerical Study of Evaporation From Wavy Surfaces by Coupling Free Flow and Porous Media Flow B. Gao et al. https://doi.org/10.1029/2018WR023423
59. Evaluation of a satellite-derived model parameterized by three soil moisture constraints to estimate terrestrial latent heat flux in the Heihe River basin of Northwest China Y. Yao et al. https://doi.org/10.1016/j.scitotenv.2019.133787
60. Evaluating eddy covariance cotton ET measurements in an advective environment with large weighing lysimeters J. Chávez et al. https://doi.org/10.1007/s00271-009-0179-7
61. Modeling crop water use in an irrigated maize cropland using a biophysical process-based model R. Ding et al. https://doi.org/10.1016/j.jhydrol.2015.07.004
62. High‐resolution modeling of coastal freshwater discharge and glacier mass balance in the Gulf of Alaska watershed J. Beamer et al. https://doi.org/10.1002/2015WR018457
63. Uncertainties in measuring and estimating water‐budget components: Current state of the science S. Levin et al. https://doi.org/10.1002/wat2.1646
64. A hybrid framework for projecting 21st-century groundwater replenishment and its amplified seasonal cycle V. Varma & F. Gandhi https://doi.org/10.1016/j.jhydrol.2025.134814
65. Improvements to a MODIS global terrestrial evapotranspiration algorithm Q. Mu et al. https://doi.org/10.1016/j.rse.2011.02.019
66. Generalized combination equations for canopy evaporation under dry and wet conditions J. Lhomme & C. Montes https://doi.org/10.5194/hess-18-1137-2014
67. Regional and Global Land Data Assimilation Systems: Innovations, Challenges, and Prospects Y. Xia et al. https://doi.org/10.1007/s13351-019-8172-4
68. Contrasting long-term temperature trends reveal minor changes in projected potential evapotranspiration in the US Midwest B. Basso et al. https://doi.org/10.1038/s41467-021-21763-7
69. Quantifying energy and water fluxes in dry dune ecosystems of the Netherlands B. Voortman et al. https://doi.org/10.5194/hess-19-3787-2015
70. Irrigation management of European greenhouse vegetable crops L. Incrocci et al. https://doi.org/10.1016/j.agwat.2020.106393
71. Shifting from homogeneous to heterogeneous surfaces in estimating terrestrial evapotranspiration: Review and perspectives Y. Liu et al. https://doi.org/10.1007/s11430-020-9834-y
72. Planning and Evaluating Nature-Based Solutions for Watershed Investment Programs with a SMART Perspective Using a Distributed Modeling Tool M. Jiménez et al. https://doi.org/10.3390/w15193388
73. Actual evapotranspiration and dual crop coefficients for dry-seeded rice and hybrid maize grown with overhead sprinkler irrigation M. Alberto et al. https://doi.org/10.1016/j.agwat.2014.01.005
74. Estimating evapotranspiration using remotely sensed solar-induced fluorescence measurements K. Zhou et al. https://doi.org/10.1016/j.agrformet.2021.108800
75. Technical Note: On the Matt–Shuttleworth approach to estimate crop water requirements J. Lhomme et al. https://doi.org/10.5194/hess-18-4341-2014
76. Two years with extreme and little snowfall: effects on energy partitioning and surface energy exchange in a high-Arctic tundra ecosystem C. Stiegler et al. https://doi.org/10.5194/tc-10-1395-2016
77. Evaluating eddy covariance method by large-scale weighing lysimeter in a maize field of northwest China R. Ding et al. https://doi.org/10.1016/j.agwat.2010.08.001
78. Ecosystem science: a new approach in the analysis of functional processes in natural and human transformed terrestrial ecosystems B. Chávez-Vergara et al. https://doi.org/10.17129/botsci.3074
79. Comparisons of energy balance and evapotranspiration between flooded and aerobic rice fields in the Philippines M. Alberto et al. https://doi.org/10.1016/j.agwat.2011.04.011
80. An integrated strategy for improving water use efficiency by understanding physiological mechanisms of crops responding to water deficit: Present and prospect J. Kang et al. https://doi.org/10.1016/j.agwat.2021.107008
81. Response of terrestrial evapotranspiration to Earth's greening Z. Zeng et al. https://doi.org/10.1016/j.cosust.2018.03.001
82. Factoring in canopy cover heterogeneity on evapotranspiration partitioning: Beyond big-leaf surface homogeneity assumptions J. Villegas et al. https://doi.org/10.2489/jswc.69.3.78A
83. A Canopy Transpiration Model Based on Scaling Up Stomatal Conductance and Radiation Interception as Affected by Leaf Area Index M. Alam et al. https://doi.org/10.3390/w13030252
84. A water-balance drip-irrigation scheduling model T. Sammis et al. https://doi.org/10.1016/j.agwat.2012.06.012
85. Conditioning point and gridded weather data under aridity conditions for calculation of reference evapotranspiration R. Allen et al. https://doi.org/10.1016/j.agwat.2020.106531
86. How evaporative water losses vary between wet and dry water years as a function of elevation in the Sierra Nevada, California, and critical factors for modeling J. Lundquist & S. Loheide https://doi.org/10.1029/2010WR010050
87. Transpiration and evaporative partitioning at a boreal forest and shrub taiga site in a subarctic alpine catchment, Yukon territory, Canada E. Nicholls et al. https://doi.org/10.1002/hyp.14900
88. Improving a Penman–Monteith evapotranspiration model by incorporating soil moisture control on soil evaporation in semiarid areas L. Sun et al. https://doi.org/10.1080/17538947.2013.783635
89. Review on Estimation of Land Surface Radiation and Energy Budgets From Ground Measurement, Remote Sensing and Model Simulations S. Liang et al. https://doi.org/10.1109/JSTARS.2010.2048556
90. Evaluating the Drought Code for lowland taiga of Interior Alaska using eddy covariance measurements E. Miller et al. https://doi.org/10.1071/WF22165
91. Hybrid deep learning model with joint water-carbon constraints for simultaneous estimation of evapotranspiration and gross primary production Y. Rong et al. https://doi.org/10.1016/j.agrformet.2025.110762
92. Forest stand complexity controls ecosystem‐scale evapotranspiration dynamics: Implications for landscape flux simulations R. Leonard et al. https://doi.org/10.1002/hyp.14761
93. Inroads of remote sensing into hydrologic science during the WRR era D. Lettenmaier et al. https://doi.org/10.1002/2015WR017616
94. Vegetation Index Methods for Estimating Evapotranspiration by Remote Sensing E. Glenn et al. https://doi.org/10.1007/s10712-010-9102-2
95. Vineyard Energy Partitioning Between Canopy and Soil Surface: Dynamics and Biophysical Controls P. Zhao et al. https://doi.org/10.1175/JHM-D-16-0122.1
96. Numerical test of the laboratory evaporation method using coupled water, vapor and heat flow modelling S. Iden et al. https://doi.org/10.1016/j.jhydrol.2018.12.045
97. Methodologies for Investigations of Evapotranspiration and Atmospheric Boundary Layer (ABL) T. HIYAMA et al. https://doi.org/10.4145/jahs.39.37
98. MONTPEL: A multi-component Penman-Monteith energy balance model R. Albasha et al. https://doi.org/10.1016/j.agrformet.2024.110221
99. An enhanced two-source evapotranspiration model for land (ETEML): Algorithm and evaluation Y. Yang et al. https://doi.org/10.1016/j.rse.2015.06.020
100. Applicability of Classical Predictive Equations for the Estimation of Evapotranspiration from Urban Green Spaces: Green Roof Results K. DiGiovanni et al. https://doi.org/10.1061/(ASCE)HE.1943-5584.0000572
101. Evaluating Land–Atmosphere Coupling Using a Resistance Pathway Framework A. Hirsch et al. https://doi.org/10.1175/JHM-D-15-0204.1
102. A Comparison of the Diel Cycle of Modeled and Measured Latent Heat Flux During the Warm Season in a Colorado Subalpine Forest S. Burns et al. https://doi.org/10.1002/2017MS001248
103. Rice evapotranspiration at the field and canopy scales under water-saving irrigation X. Liu et al. https://doi.org/10.1007/s00703-017-0507-z
104. Simulation of Pan-Evaporation Using Penman and Hamon Equations and Artificial Intelligence Techniques A. Ghumman et al. https://doi.org/10.3390/w13060793
105. Inverse Opal Photonic Crystals as an Optofluidic Platform for Fast Analysis of Hydrocarbon Mixtures Q. Xu et al. https://doi.org/10.1021/acsami.8b03179
106. Estimation of wet surface evaporation from sensible heat flux measurements N. Vercauteren et al. https://doi.org/10.1029/2008WR007544
107. Comparison of 16 models for reference crop evapotranspiration against weighing lysimeter measurement X. Liu et al. https://doi.org/10.1016/j.agwat.2017.01.017
108. Global transpiration data from sap flow measurements: the SAPFLUXNET database R. Poyatos et al. https://doi.org/10.5194/essd-13-2607-2021
109. Modelling annual evapotranspiration in a semi-arid, African savanna: functional convergence theory, MODIS LAI and the Penman–Monteith equation A. Palmer et al. https://doi.org/10.2989/10220119.2014.931305
110. A Review of Warm‐Season Turfgrass Evapotranspiration, Responses to Deficit Irrigation, and Drought Resistance T. Colmer & L. Barton https://doi.org/10.2135/cropsci2016.10.0911
111. The role of hydraulic and thermal properties of soil in evaporation: a numerical insight G. Guida et al. https://doi.org/10.1680/jenge.22.00132
112. A review of approaches for evapotranspiration partitioning D. Kool et al. https://doi.org/10.1016/j.agrformet.2013.09.003
113. A review of remote sensing based actual evapotranspiration estimation K. Zhang et al. https://doi.org/10.1002/wat2.1168
114. The potential of NIRvP in estimating evapotranspiration C. Ersi et al. https://doi.org/10.1016/j.rse.2024.114405
115. Biophysical drivers of the carbon dioxide, water vapor, and energy exchanges of a short-rotation poplar coppice T. Zenone et al. https://doi.org/10.1016/j.agrformet.2015.04.009
116. Biological and Environmental Controls on Evaporative Fractions at AmeriFlux Sites C. Zhou & K. Wang https://doi.org/10.1175/JAMC-D-15-0126.1
117. The influence of warm-season precipitation on the diel cycle of the surface energy balance and carbon dioxide at a Colorado subalpine forest site S. Burns et al. https://doi.org/10.5194/bg-12-7349-2015
118. Potential for natural evaporation as a reliable renewable energy resource A. Cavusoglu et al. https://doi.org/10.1038/s41467-017-00581-w
119. Hydrologic Observation, Model, and Theory Congruence on Evapotranspiration Variance: Diagnosis of Multiple Observations and Land Surface Models R. Zeng & X. Cai https://doi.org/10.1029/2018WR022723
120. Evaluating Enhanced Hydrological Representations in Noah LSM over Transition Zones: Implications for Model Development E. Rosero et al. https://doi.org/10.1175/2009JHM1029.1
121. Outdoor pilot-scale raceway as a microalgae-bacteria sidestream treatment in a WWTP M. Mantovani et al. https://doi.org/10.1016/j.scitotenv.2019.135583
122. Effects of earthquakes on the discharge of groundwater systems: The case of the 2016 seismic sequence in the Central Apennines, Italy L. Di Matteo et al. https://doi.org/10.1016/j.jhydrol.2019.124509
123. The contribution of human agricultural activities to increasing evapotranspiration is significantly greater than climate change effect over Heihe agricultural region M. Zou et al. https://doi.org/10.1038/s41598-017-08952-5
124. Remote sensing of earth’s energy budget: synthesis and review S. Liang et al. https://doi.org/10.1080/17538947.2019.1597189
125. Whole ecosystem metabolic pulses following precipitation events G. Jenerette et al. https://doi.org/10.1111/j.1365-2435.2008.01450.x
126. Comparison of the water budget for the typical cropland and pear orchard ecosystems in the North China Plain Y. Zhang et al. https://doi.org/10.1016/j.agwat.2017.12.027
127. 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
128. Modeling actual evapotranspiration with routine meteorological variables in the data‐scarce region of the Tibetan Plateau: Comparisons and implications N. Ma et al. https://doi.org/10.1002/2015JG003006
129. Estimation of crop water requirements: extending the one-step approach to dual crop coefficients J. Lhomme et al. https://doi.org/10.5194/hess-19-3287-2015
130. Practical empirical estimation of evaporation for mining and industrial water balances: application to a South African process dam M. Pretorius & I. Loots https://doi.org/10.2166/wpt.2026.210
131. Application of Artificial Intelligence Models for Evapotranspiration Prediction along the Southern Coast of Turkey M. Hameed et al. https://doi.org/10.1155/2021/8850243
132. A Review of Current Methodologies for Regional Evapotranspiration Estimation from Remotely Sensed Data Z. Li et al. https://doi.org/10.3390/s90503801
133. Scaling Up Stomatal Conductance from Leaf to Canopy Using a Dual-Leaf Model for Estimating Crop Evapotranspiration R. Ding et al. https://doi.org/10.1371/journal.pone.0095584
134. Evaluation of global land-to-ocean fresh water discharge and evapotranspiration using space-based observations K. Seo et al. https://doi.org/10.1016/j.jhydrol.2009.05.014
135. Based on the Gaussian Fitting Method to Derive Daily Evapotranspiration from Remotely Sensed Instantaneous Evapotranspiration S. Liu et al. https://doi.org/10.1155/2019/6253832
136. 100 Years of Progress in Hydrology C. Peters-Lidard et al. https://doi.org/10.1175/AMSMONOGRAPHS-D-18-0019.1
137. Estimation of Latent Heat Flux Using a Non-Parametric Method C. Hsieh et al. https://doi.org/10.3390/w14213474
138. Evapotranspiration of a high-density poplar stand in comparison with a reference grass cover in the Czech–Moravian Highlands M. Fischer et al. https://doi.org/10.1016/j.agrformet.2013.07.004
139. Comparing actual transpiration fluxes as measured at leaf-scale and calculated by a physically based agro-hydrological model A. Sobhani et al. https://doi.org/10.4081/jae.2023.1527
140. Microalgal biomass production pathways: evaluation of life cycle environmental impacts G. Zaimes & V. Khanna https://doi.org/10.1186/1754-6834-6-88
141. State and parameter estimation of two land surface models using the ensemble Kalman filter and the particle filter H. Zhang et al. https://doi.org/10.5194/hess-21-4927-2017
142. An evaluation of gridded weather data sets for the purpose of estimating reference evapotranspiration in the United States P. Blankenau et al. https://doi.org/10.1016/j.agwat.2020.106376
143. Coupling physical constraints with machine learning for satellite-derived evapotranspiration of the Tibetan Plateau K. Shang et al. https://doi.org/10.1016/j.rse.2023.113519
144. Climate change, water supply and environmental problems of headwaters: The paradigmatic case of the Tiber, Savio and Marecchia rivers (Central Italy) L. Di Matteo et al. https://doi.org/10.1016/j.scitotenv.2017.04.153
145. Estimation of the Latent Heat Flux over Irrigated Short Fescue Grass for Different Fetches F. Castellví & P. Gavilán https://doi.org/10.3390/atmos12030322
146. Reviews and syntheses: Turning the challenges of partitioning ecosystem evaporation and transpiration into opportunities P. Stoy et al. https://doi.org/10.5194/bg-16-3747-2019
147. Attenuation Correction Procedures for Water Vapour Fluxes from Closed-Path Eddy-Covariance Systems B. Runkle et al. https://doi.org/10.1007/s10546-011-9689-y
148. Comparison of Differences in Actual Cropland Evapotranspiration under Two Irrigation Methods Using Satellite-Based Model Y. Liu et al. https://doi.org/10.3390/rs16010175
149. Seasonal variation of evapotranspiration and its effect on the surface energy budget closure at a tropical forest over north-east India P. Deb Burman et al. https://doi.org/10.1007/s12040-019-1158-x
150. What controls the error structure in evapotranspiration models? A. Polhamus et al. https://doi.org/10.1016/j.agrformet.2012.10.002
151. A satellite-based energy balance algorithm with reference dry and wet limits J. Feng & Z. Wang https://doi.org/10.1080/01431161.2012.748990
152. Methods to separate observed global evapotranspiration into the interception, transpiration and soil surface evaporation components E. Blyth & R. Harding https://doi.org/10.1002/hyp.8409
153. Ocean thermal energy conversion by deliberate seawater salinization F. Arias https://doi.org/10.1002/er.3831
154. Comparing evapotranspiration estimations using crop model-data fusion and satellite data-based models with lysimetric observations: Implications for irrigation scheduling C. Stöckle et al. https://doi.org/10.1016/j.agwat.2025.109372
155. Psychrometer based on a contactless infrared thermometer with a predictive model for water evaporation C. Lee & Y. Wang https://doi.org/10.1016/j.biosystemseng.2017.05.010
156. Incorporating façade-specific climatic factors to improve the ISO 15927-3 characterisation of wind-driven rain spells: Dutch and Spanish case studies J. Pérez-Bella et al. https://doi.org/10.1016/j.dibe.2024.100326
157. Measuring H2O and CO2 fluxes at field scales with scintillometry: Part I – Introduction and validation of four methods B. Van Kesteren et al. https://doi.org/10.1016/j.agrformet.2012.09.013
158. A fast method to measure the evaporation rate N. Kumar & J. Arakeri https://doi.org/10.1016/j.jhydrol.2020.125642
159. Greenhouse gas (CO2, CH4, H2O) fluxes from drained and flooded agricultural peatlands in the Sacramento-San Joaquin Delta J. Hatala et al. https://doi.org/10.1016/j.agee.2012.01.009
160. Water requirements of short rotation poplar coppice: Experimental and modelling analyses across Europe M. Fischer et al. https://doi.org/10.1016/j.agrformet.2017.12.079
161. Prediction of brine evaporation rate in a pond: Development of different models under controlled meteorological conditions and comparative evaluation M. Kim et al. https://doi.org/10.1016/j.desal.2023.116415
162. Near‐surface turbulence as a missing link in modeling evapotranspiration‐soil moisture relationships E. Haghighi & J. Kirchner https://doi.org/10.1002/2016WR020111
163. Hourly Alfalfa Evapotranspiration Estimation Using Variable Bulk Surface Resistance A. Subedi et al. https://doi.org/10.1061/(ASCE)IR.1943-4774.0001413
164. Merging flux-variance with surface renewal methods in the roughness sublayer and the atmospheric surface layer M. Fischer et al. https://doi.org/10.1016/j.agrformet.2023.109692
165. Relationship Between Remotely-sensed Vegetation Indices, Canopy Attributes and Plant Physiological Processes: What Vegetation Indices Can and Cannot Tell Us About the Landscape E. Glenn et al. https://doi.org/10.3390/s8042136