65 citations as recorded by crossref.

1. ECOSTRESS and CIMIS: A Comparison of Potential and Reference Evapotranspiration in Riverside County, California G. Kohli et al. 10.3390/rs12244126
2. Vapor Pressure Deficit and Sunlight Explain Seasonality of Leaf Phenology and Photosynthesis Across Amazonian Evergreen Broadleaved Forest X. Chen et al. 10.1029/2020GB006893
3. On the attribution of historical and future dryness/wetness changes in China incorporating surface resistance response to elevated CO2 S. Sun et al. 10.1016/j.gloplacha.2024.104380
4. Interactions between snow cover and evaporation lead to higher sensitivity of streamflow to temperature A. Meira Neto et al. 10.1038/s43247-020-00056-9
5. Evaluating the Drought Code for lowland taiga of Interior Alaska using eddy covariance measurements E. Miller et al. 10.1071/WF22165
6. Estimating ecosystem maximum light use efficiency based on the water use efficiency principle R. Gan et al. 10.1088/1748-9326/ac263b
7. Unravelling groundwater contributions to evapotranspiration and constraining water fluxes in a high‐elevation catchment A. Ryken et al. 10.1002/hyp.14449
8. Developing observational methods to drive future hydrological science: Can we make a start as a community? K. Beven et al. 10.1002/hyp.13622
9. Increasing atmospheric evaporative demand across the Tibetan plateau and implications for surface water resources S. Xu et al. 10.1016/j.isci.2024.111623
10. Characteristics of Winter Wheat Evapotranspiration in Eastern China and Comparative Evaluation of Applicability of Different Reference Evapotranspiration Models H. He et al. 10.1007/s42729-022-00795-y
11. Estimation of daily evapotranspiration using machine learning models in China: based on ChinaFLUX sites H. Gu et al. 10.2166/nh.2025.025
12. Water use efficiency and its drivers in four typical agroecosystems based on flux tower measurements S. Jiang et al. 10.1016/j.agrformet.2020.108200
13. Evaluation of potential evapotranspiration models over fluxdata network cropland sites Z. He et al. 10.1016/j.jhydrol.2024.132084
14. A comparative study of ecohydrologies of a tropical mangrove and a broadleaf deciduous forest using eddy covariance measurement P. Deb Burman et al. 10.1007/s00703-021-00840-y
15. Response of Ecosystem Productivity to High Vapor Pressure Deficit and Low Soil Moisture: Lessons Learned From the Global Eddy‐Covariance Observations S. Xu et al. 10.1029/2022EF003252
16. The evaluation of the suitability of potential evapotranspiration models for drought monitoring based on observed pan evaporation and potential evapotranspiration from eddy covariance W. Liu et al. 10.1016/j.jhydrol.2025.133434
17. Improving the Representation of Long‐Term Storage Variations With Conceptual Hydrological Models in Data‐Scarce Regions P. Hulsman et al. 10.1029/2020WR028837
18. Downwelling longwave radiation and sensible heat flux observations are critical for surface temperature and emissivity estimation from flux tower data G. Thakur et al. 10.1038/s41598-022-12304-3
19. Seasonality of energy and water fluxes in a tropical moist forest in Vietnam O. Kuricheva et al. 10.1016/j.agrformet.2020.108268
20. A deep learning-based hybrid model of global terrestrial evaporation A. Koppa et al. 10.1038/s41467-022-29543-7
21. Functional and ecological diversification of underground organs in Solanum E. Gagnon et al. 10.3389/fgene.2023.1231413
22. Technical note: Investigating the potential for smartphone-based monitoring of evapotranspiration and land surface energy-balance partitioning A. Teuling et al. 10.5194/hess-28-3799-2024
23. A physically-based potential evapotranspiration model for global water availability projections Z. Liu et al. 10.1016/j.jhydrol.2023.129767
24. Dryland self-expansion enabled by land–atmosphere feedbacks A. Koppa et al. 10.1126/science.adn6833
25. New measures of deep soil water recharge during the vegetation restoration process in semi-arid regions of northern China Y. Cheng et al. 10.5194/hess-24-5875-2020
26. Increases in the temperature seasonal cycle indicate long-term drying trends in Amazonia P. Ritchie et al. 10.1038/s43247-022-00528-0
27. Hourly potential evapotranspiration at 0.1° resolution for the global land surface from 1981-present M. Singer et al. 10.1038/s41597-021-01003-9
28. Evaluation of 18 models for calculating potential evapotranspiration in different climatic zones of China Y. Yang et al. 10.1016/j.agwat.2020.106545
29. Global Coordination in Plant Physiological and Rooting Strategies in Response to Water Stress Y. Liu et al. 10.1029/2020GB006758
30. Global changes in potential evapotranspiration (1992–2020) and associated drivers: Shuttleworth-Wallace model-based analysis Z. Bi et al. 10.1016/j.jhydrol.2025.133435
31. Estimating land evapotranspiration from potential evapotranspiration constrained by soil water at daily scale Z. Liu 10.1016/j.scitotenv.2022.155327
32. Exploring the stationarity of Australian temperature, precipitation and pan evaporation records over the last century A. Ukkola et al. 10.1088/1748-9326/ab545c
33. Optimized empirical model based on whale optimization algorithm for simulate daily reference crop evapotranspiration in different climatic regions of China Z. Wu et al. 10.1016/j.jhydrol.2022.128084
34. Modeling gross primary production and transpiration from sun-induced chlorophyll fluorescence using a mechanistic light-response approach Q. Beauclaire et al. 10.1016/j.rse.2024.114150
35. Reviews and syntheses: Turning the challenges of partitioning ecosystem evaporation and transpiration into opportunities P. Stoy et al. 10.5194/bg-16-3747-2019
36. Comparison of different empirical methods and data-driven models for estimating reference evapotranspiration in semi-arid Central Anatolian Region of Turkey I. Yurtseven & Y. Serengil 10.1007/s12517-021-08150-8
37. Necessity of incorporating realistic land surface parameters for trend analyses of potential evapotranspiration and drought S. Sun et al. 10.1016/j.jhydrol.2025.132938
38. Sun-induced fluorescence closely linked to ecosystem transpiration as evidenced by satellite data and radiative transfer models W. Maes et al. 10.1016/j.rse.2020.112030
39. Climatology and trends of reference evapotranspiration in Spain M. Tomas‐Burguera et al. 10.1002/joc.6817
40. Enhanced understanding of warming and humidifying on ground heat flux in the Tibetan Plateau Hinterland J. He et al. 10.1016/j.atmosres.2024.107799
41. Exploring trends in wet-season precipitation and drought indices in wet, humid and dry regions C. Funk et al. 10.1088/1748-9326/ab4a6c
42. Tropical Peatland Hydrology Simulated With a Global Land Surface Model S. Apers et al. 10.1029/2021MS002784
43. A gridded dataset of a leaf-age-dependent leaf area index seasonality product over tropical and subtropical evergreen broadleaved forests X. Yang et al. 10.5194/essd-15-2601-2023
44. Applicability analysis of different evapotranspiration models for maize farmland in the lower Yellow River Plain based on eddy covariance measurements X. Ren et al. 10.1016/j.ecohyd.2024.10.005
45. Inter‐Basin Water Transfer Effectively Compensates for Regional Unsustainable Water Use J. Dong et al. 10.1029/2023WR035129
46. Assessing the ability of potential evaporation models to capture the sensitivity to temperature Z. Liu et al. 10.1016/j.agrformet.2022.108886
47. CABra: a novel large-sample dataset for Brazilian catchments A. Almagro et al. 10.5194/hess-25-3105-2021
48. Peruvian North Coast Climate Variability and Regional Ocean–Atmosphere Forcing M. Jury & L. Alfaro-Garcia 10.3390/coasts4030026
49. Evaporation From Six Water Bodies of Various Sizes in East Asia: An Analysis on Size Dependency S. Han & F. Guo 10.1029/2022WR032650
50. Error characterization of global land evapotranspiration products: Collocation-based approach C. Li et al. 10.1016/j.jhydrol.2022.128102
51. Benchmarking Machine Learning Algorithms for Instantaneous Net Surface Shortwave Radiation Retrieval Using Remote Sensing Data H. Wu & W. Ying 10.3390/rs11212520
52. Simple Models Outperform More Complex Big‐Leaf Models of Daily Transpiration in Forested Biomes R. Bright et al. 10.1029/2022GL100100
53. On the Estimation of Potential Evaporation Under Wet and Dry Conditions Z. Tu & Y. Yang 10.1029/2021WR031486
54. Diagnosing evapotranspiration responses to water deficit across biomes using deep learning F. Giardina et al. 10.1111/nph.19197
55. Unraveling the influence of atmospheric evaporative demand on drought and its response to climate change S. Vicente‐Serrano et al. 10.1002/wcc.632
56. A global 5 km monthly potential evapotranspiration dataset (1982–2015) estimated by the Shuttleworth–Wallace model S. Sun et al. 10.5194/essd-15-4849-2023
57. Estimating the sensitivity of the Priestley–Taylor coefficient to air temperature and humidity Z. Liu et al. 10.5194/hess-28-4349-2024
58. Calibrating a remote sensing evapotranspiration model using the Budyko framework P. Bai & C. Cai 10.1016/j.agrformet.2023.109757
59. 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
60. Land‐Atmosphere Coupling Constrains Increases to Potential Evaporation in a Warming Climate: Implications at Local and Global Scales Y. Kim et al. 10.1029/2022EF002886
61. Improvement in the Estimation of Daily Net Surface Radiation in China M. Xiao & D. Kong 10.1061/(ASCE)IR.1943-4774.0001539
62. Land Cover Control on the Drivers of Evaporation and Sensible Heat Fluxes: An Observation‐Based Synthesis for the Netherlands F. Jansen et al. 10.1029/2022WR034361
63. Testing a maximum evaporation theory over saturated land: implications for potential evaporation estimation Z. Tu et al. 10.5194/hess-26-1745-2022
64. Supporting decision-making in agricultural water management under data scarcity using global datasets – chances, limits and potential improvements B. Kayatz et al. 10.1016/j.agwat.2024.108803
65. Using phase lags to evaluate model biases in simulating the diurnal cycle of evapotranspiration: a case study in Luxembourg M. Renner et al. 10.5194/hess-23-515-2019