72 citations as recorded by crossref.

1. An Enhanced MOD16 Evapotranspiration Model for the Tibetan Plateau During the Unfrozen Season L. Yuan et al. https://doi.org/10.1029/2020JD032787
2. Estimation of evapotranspiration using all-weather land surface temperature and variational trends with warming temperatures for the River Source Region in Southwest China Y. Ma et al. https://doi.org/10.1016/j.jhydrol.2022.128346
3. Decreasing control of precipitation on grassland spring phenology in temperate China Y. Fu et al. https://doi.org/10.1111/geb.13234
4. Non‐Radiative Effect of Land Use/Land Cover Differences on Land Surface Temperature Simulated by Noah‐MP Land Surface Model Over East Asia G. Zhang et al. https://doi.org/10.1029/2022JD037722
5. Shifting from a thermal-constrained to water-constrained ecosystem over the Tibetan Plateau C. Xu et al. https://doi.org/10.3389/fpls.2023.1125288
6. Accuracy comparison of remotely sensed evapotranspiration products and their associated water stress footprints under different land cover types in Korean peninsula U. Liaqat & M. Choi https://doi.org/10.1016/j.jclepro.2016.09.022
7. Spatio-temporal variability of evapotranspiration and crop water requirement from space A. Samuel et al. https://doi.org/10.1016/j.jhydrol.2018.01.058
8. Trends of land surface heat fluxes on the Tibetan Plateau from 2001 to 2012 C. Han et al. https://doi.org/10.1002/joc.5119
9. Freeze–Thaw Changes of Seasonally Frozen Ground on the Tibetan Plateau from 1960 to 2014 S. Luo et al. https://doi.org/10.1175/JCLI-D-19-0923.1
10. Long-term variations in actual evapotranspiration over the Tibetan Plateau C. Han et al. https://doi.org/10.5194/essd-13-3513-2021
11. The impact of clear-sky biases of land surface temperature on monthly evapotranspiration estimation X. Pan et al. https://doi.org/10.1016/j.jag.2024.103811
12. A Comparison of SSEBop-Model-Based Evapotranspiration with Eight Evapotranspiration Products in the Yellow River Basin, China L. Yin et al. https://doi.org/10.3390/rs12162528
13. Synthesis of global actual evapotranspiration from 1982 to 2019 A. Elnashar et al. https://doi.org/10.5194/essd-13-447-2021
14. Mapping regional distribution of land surface heat fluxes on the southern side of the central Himalayas using TESEBS P. Amatya et al. https://doi.org/10.1007/s00704-015-1466-2
15. Estimating Grassland Carrying Capacity in the Source Area of Nujiang River and Selinco Lake, Tibetan Plateau (2001–2020) Based on Multisource Remote Sensing F. Ji et al. https://doi.org/10.3390/rs16203790
16. Exploring evapotranspiration changes in a typical endorheic basin through the integrated observatory network Z. Xu et al. https://doi.org/10.1016/j.agrformet.2020.108010
17. Ecosystem Evapotranspiration as a Response to Climate and Vegetation Coverage Changes in Northwest Yunnan, China H. Yang et al. https://doi.org/10.1371/journal.pone.0134795
18. Recent trends (2003–2013) of land surface heat fluxes on the southern side of the central Himalayas, Nepal P. Amatya et al. https://doi.org/10.1002/2015JD023510
19. Higher temporal evapotranspiration estimation with improved SEBS model from geostationary meteorological satellite data J. Zhao et al. https://doi.org/10.1038/s41598-019-50724-w
20. Simulation of Surface Sensible and Latent Heat Fluxes on the Tibetan Plateau from 1981 to 2018 S. Wang et al. https://doi.org/10.2139/ssrn.3982261
21. Comparison of satellite-based evapotranspiration estimates over the Tibetan Plateau J. Peng et al. https://doi.org/10.5194/hess-20-3167-2016
22. Surface energy fluxes in the Northeast Asia ecosystem: SEBS and METRIC models using Landsat satellite images U. Liaqat & M. Choi https://doi.org/10.1016/j.agrformet.2015.08.245
23. Accuracy of five ground heat flux empirical simulation methods in the surface-energy-balance-based remote-sensing evapotranspiration models Z. Liu https://doi.org/10.5194/hess-26-6207-2022
24. Remote Sensing of Global Daily Evapotranspiration based on a Surface Energy Balance Method and Reanalysis Data X. Chen et al. https://doi.org/10.1029/2020JD032873
25. Land Surface Modeling in the Himalayas: On the Importance of Evaporative Fluxes for the Water Balance of a High‐Elevation Catchment P. Buri et al. https://doi.org/10.1029/2022WR033841
26. Estimation and validation of high-resolution evapotranspiration products for an arid river basin using multi-source remote sensing data J. Xiao et al. https://doi.org/10.1016/j.agwat.2024.108864
27. A Robust Framework for Improving Fine-Scale Evapotranspiration Estimation From UAV-Based Multispectral and Thermal Images J. Wei et al. https://doi.org/10.1109/TGRS.2025.3601120
28. Delineating dynamic hydrological response units to improve simulations of extreme runoff events in changing environments Y. Yang et al. https://doi.org/10.1016/j.jhydrol.2025.133000
29. An Overview of European Efforts in Generating Climate Data Records Z. Su et al. https://doi.org/10.1175/BAMS-D-16-0074.1
30. Annual evapotranspiration retrieved from satellite vegetation indices for the eastern Mediterranean at 250 m spatial resolution D. Helman et al. https://doi.org/10.5194/acp-15-12567-2015
31. Estimation of daily evapotranspiration and irrigation water efficiency at a Landsat-like scale for an arid irrigation area using multi-source remote sensing data Y. Ma et al. https://doi.org/10.1016/j.rse.2018.07.019
32. Simulated Trends in Land Surface Sensible Heat Flux on the Tibetan Plateau in Recent Decades S. Wang et al. https://doi.org/10.3390/rs15030714
33. A multi-variable calibration framework at the grid scale for integrating streamflow with evapotranspiration data to improve the simulation of distributed hydrological model X. Guo et al. https://doi.org/10.1016/j.ejrh.2024.101944
34. Preface: Land Surface Processes and Interactions—From HCMM to Sentinel Missions and Beyond Z. Su et al. https://doi.org/10.3390/rs9080788
35. Detection of hydrological variations and their impacts on vegetation from multiple satellite observations in the Three-River Source Region of the Tibetan Plateau M. Xu et al. https://doi.org/10.1016/j.scitotenv.2018.05.226
36. Drought Trend Analysis Based on the Standardized Precipitation–Evapotranspiration Index Using NASA’s Earth Exchange Global Daily Downscaled Projections, High Spatial Resolution Coupled Model Intercomparison Project Phase 5 Projections, and Assessment of Potential Impacts on China’s Crop Yield in the 21st Century X. Guo et al. https://doi.org/10.3390/w11122455
37. Monitoring and Modeling the Tibetan Plateau’s climate system and its impact on East Asia Y. Ma et al. https://doi.org/10.1038/srep44574
38. Regional evapotranspiration from an image-based implementation of the Surface Temperature Initiated Closure (STIC1.2) model and its validation across an aridity gradient in the conterminous US N. Bhattarai et al. https://doi.org/10.5194/hess-22-2311-2018
39. Long-term water stress and drought assessment of Mediterranean oak savanna vegetation using thermal remote sensing M. González-Dugo et al. https://doi.org/10.5194/hess-25-755-2021
40. Integrated Validation of Coarse Remotely Sensed Evapotranspiration Products over Heterogeneous Land Surfaces Y. Zhang et al. https://doi.org/10.3390/rs14143467
41. Added Value of a Convection Permitting Model in Simulating Atmospheric Water Cycle Over the Asian Water Tower Y. Zhao et al. https://doi.org/10.1029/2021JD034788
42. A Column Canopy‐Air Turbulent Diffusion Method for Different Canopy Structures X. Chen et al. https://doi.org/10.1029/2018JD028883
43. High-resolution crop yield and water productivity dataset generated using random forest and remote sensing M. Cheng et al. https://doi.org/10.1038/s41597-022-01761-0
44. Effects of Mosaic Representation of Land Use/Land Cover on Skin Temperature and Energy Fluxes in Noah‐MP Land Surface Model Over China G. Zhang et al. https://doi.org/10.1029/2021JD034542
45. Consistency and uncertainty of gridded terrestrial evapotranspiration estimations over China L. Guo et al. https://doi.org/10.1016/j.jhydrol.2022.128245
46. Differences in Response of Terrestrial Water Storage Components to Precipitation over 168 Global River Basins Y. Zhang et al. https://doi.org/10.1175/JHM-D-18-0253.1
47. High-Resolution Monitoring and Assessment of Evapotranspiration and Gross Primary Production Using Remote Sensing in a Typical Arid Region J. Yan et al. https://doi.org/10.3390/land10040396
48. Spatio-temporal trends in the hydroclimate of Turkey for the last decades based on two reanalysis datasets M. Gokmen https://doi.org/10.5194/hess-20-3777-2016
49. A physical-based two-source evapotranspiration model with Monin–Obukhov similarity theory M. Khan et al. https://doi.org/10.1080/15481603.2020.1857625
50. Increasing evapotranspiration trend and the dominant driving factors in the oasis areas of the Tarim Basin, China J. Lang et al. https://doi.org/10.1080/15324982.2025.2491452
51. An Integrative Information Aqueduct to Close the Gaps between Satellite Observation of Water Cycle and Local Sustainable Management of Water Resources Z. Su et al. https://doi.org/10.3390/w12051495
52. Improving the algorithms for the estimation of wet surface evaporation on the Tibetan Plateau C. Zhang et al. https://doi.org/10.1016/j.agrformet.2026.111030
53. Mapping soil moisture across the Tibetan Plateau plains using Aquarius active and passive L-band microwave observations Q. Wang et al. https://doi.org/10.1016/j.jag.2019.01.005
54. Optimization of a remote sensing energy balance method over different canopy applied at global scale X. Chen et al. https://doi.org/10.1016/j.agrformet.2019.107633
55. Simulation of sensible and latent heat fluxes on the Tibetan Plateau from 1981 to 2018 S. Wang et al. https://doi.org/10.1016/j.atmosres.2022.106129
56. Long time series of daily evapotranspiration in China based on the SEBAL model and multisource images and validation M. Cheng et al. https://doi.org/10.5194/essd-13-3995-2021
57. An improved remote sensing based approach for predicting actual Evapotranspiration by integrating LiDAR M. Khan et al. https://doi.org/10.1016/j.asr.2021.04.017
58. Relative Contributions of Climate Change and Human Activities on Vegetation Productivity Variation in National Nature Reserves on the Qinghai–Tibetan Plateau J. Zhou & T. Lu https://doi.org/10.3390/rs14184626
59. Land surface modeling informed by earth observation data: toward understanding blue–green–white water fluxes in High Mountain Asia P. Buri et al. https://doi.org/10.1080/10095020.2024.2330546
60. Comparison of land–atmosphere interaction at different surface types in the mid- to lower reaches of the Yangtze River valley W. Guo et al. https://doi.org/10.5194/acp-16-9875-2016
61. Distributions of bacterial branched tetraether lipids associated with bacterial communities in hummock and hollow soils from Southern Tibetan peatland X. Tang et al. https://doi.org/10.1016/j.chemgeo.2024.122170
62. Water balance change and its implications to vegetation in the Tarim River Basin, Central Asia M. Xu et al. https://doi.org/10.1016/j.quaint.2019.06.011
63. Trends analysis of Evapotranspiration and responses to soil moisture and wind speed over the Taklimakan Desert, China J. Lang et al. https://doi.org/10.1080/15324982.2024.2393337
64. Attribution of local land surface temperature variations response to irrigation over the North China Plain Z. Zhang et al. https://doi.org/10.1016/j.scitotenv.2022.154104
65. Comparison of surface sensible and latent heat fluxes over the Tibetan Plateau from reanalysis and observations J. Xie et al. https://doi.org/10.1007/s00703-018-0595-4
66. Intercomparison of Six Upscaling Evapotranspiration Methods: From Site to the Satellite Pixel X. Li et al. https://doi.org/10.1029/2018JD028422
67. Spatiotemporal change of carbon sink through chemical weathering of rocks over the Tibetan Plateau under climate warming Y. Zhao & W. Wang https://doi.org/10.1016/j.jseaes.2023.105542
68. Detecting and Attributing Evapotranspiration Deviations Using Dynamical Downscaling and Convection-Permitting Modeling over the Tibetan Plateau J. Dan et al. https://doi.org/10.3390/w13152096
69. Effects of climate change on vegetation and snow cover area in Gilgit Baltistan using MODIS data Z. Satti et al. https://doi.org/10.1007/s11356-022-23445-3
70. The WACMOS-ET project – Part 1: Tower-scale evaluation of four remote-sensing-based evapotranspiration algorithms D. Michel et al. https://doi.org/10.5194/hess-20-803-2016
71. The spatiotemporal variation of land surface heat fluxes in Tibetan Plateau during 2001–2022 N. Li et al. https://doi.org/10.1016/j.atmosres.2023.107081
72. Long-term monthly 0.05° terrestrial evapotranspiration dataset (1982–2018) for the Tibetan Plateau L. Yuan et al. https://doi.org/10.5194/essd-16-775-2024