Research graph
References from Interpretable model responsibility for cropland evapotranspiration across environmental gradients. Local targets link to admitted publications; unresolved targets remain external evidence.
Human domination of the global water cycle absent from depictions and perceptions
10.1038/s41561-019-0374-y · 2019 · External reference
ESD Reviews: Model dependence in multi-model climate ensembles: weighting, sub-selection and out-of-sample testing
10.5194/esd-10-91-2019 · 2019 · External reference
Energy availability and leaf area dominate control of ecosystem evapotranspiration in the southeastern U
2024 · External reference
Optuna: a next-generation hyperparameter optimization framework
2019 · External reference
Evapotranspiration information reporting: I. Factors governing measurement accuracy
10.1016/j.agwat.2010.12.015 · 2011 · External reference
Use of Landsat thermal imagery in monitoring evapotranspiration and managing water resources
10.1016/j.rse.2011.08.025 · 2012 · External reference
A brief history of the thermal IR-based Two-Source Energy Balance (TSEB) model – diagnosing evapotranspiration from plant to global scales
10.1016/j.agrformet.2024.109951 · 2024 · External reference
Visualizing the Effects of Predictor Variables in Black Box Supervised Learning Models
10.1111/rssb.12377 · 2020 · External reference
A remote sensing-based two-leaf canopy conductance model: Global optimization and applications in modeling gross primary productivity and evapotranspiration of crops
10.1016/j.rse.2018.06.005 · 2018 · External reference
On the use of machine learning based ensemble approaches to improve evapotranspiration estimates from croplands across a wide environmental gradient
10.1016/j.agrformet.2020.108308 · 2021 · External reference
Assessing the eddy covariance technique for evaluating carbon dioxide exchange rates of ecosystems: past, present and future
10.1046/j.1365-2486.2003.00629.x · 2003 · External reference
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
10.5194/hess-22-2311-2018 · 2018 · External reference
An automated multi-model evapotranspiration mapping framework using remotely sensed and reanalysis data
10.1016/j.rse.2019.04.026 · 2019 · External reference
Evaluating five remote sensing based single-source surface energy balance models for estimating daily evapotranspiration in a humid subtropical climate
2016 · External reference
Evaluation of ten machine learning methods for estimating terrestrial evapotranspiration from remote sensing
2019 · External reference
Dynamically weighted ensemble of geoscientific models via automated machine-learning-based classification
10.5194/gmd-16-5685-2023 · 2023 · External reference
Evolution of evapotranspiration models using thermal and shortwave remote sensing data
10.1016/j.rse.2019.111594 · 2020 · External reference
XGBoost: a scalable tree boosting system
2016 · External reference
Comparison of satellite-based evapotranspiration models over terrestrial ecosystems in China
10.1016/j.rse.2013.08.045 · 2014 · External reference
Using Bayesian model averaging to estimate terrestrial evapotranspiration in China
10.1016/j.jhydrol.2015.06.059 · 2015 · External reference
Multi-site evaluation of terrestrial evaporation models using FLUXNET data
10.1016/j.agrformet.2013.11.008 · 2014 · External reference
ECOSTRESS: NASA's Next Generation Mission to Measure Evapotranspiration From the International Space Station
10.1029/2019wr026058 · 2020 · External reference
The future of evapotranspiration: Global requirements for ecosystem functioning, carbon and climate feedbacks, agricultural management, and water resources
10.1002/2016wr020175 · 2017 · External reference
Global estimates of the land–atmosphere water flux based on monthly AVHRR and ISLSCP-II data, validated at 16 FLUXNET sites
10.1016/j.rse.2007.06.025 · 2008 · External reference
ET come home: potential evapotranspiration in geographical ecology
10.1111/j.1466-8238.2010.00578.x · 2011 · External reference
The energy balance closure problem: an overview
10.1890/06-0922.1 · 2008 · External reference
Bayesian Model Averaging: A Systematic Review and Conceptual Classification
10.1111/insr.12243 · 2018 · External reference
Explainable machine learning to quantify the value of proximal remote sensing in latent energy flux estimation
10.1016/j.agwat.2025.109643 · 2025 · External reference
Evapotranspiration evaluation models based on machine learning algorithms—A comparative study
10.1016/j.agwat.2019.03.015 · 2019 · External reference
Interpretable machine learning workflow for estimating reference crop evapotranspiration in China's five major dry-wet regions using limited meteorological data
10.1016/j.agwat.2026.110143 · 2026 · External reference
Decomposition of the mean squared error and NSE performance criteria: Implications for improving hydrological modelling
10.1016/j.jhydrol.2009.08.003 · 2009 · External reference
Diagnosis of environmental controls on daily actual evapotranspiration across a global flux tower network: the roles of water and energy
10.1088/1748-9326/abcc8c · 2020 · External reference
Innovative approach for estimating evapotranspiration and gross primary productivity by integrating land data assimilation, machine learning, and multi-source observations
10.1016/j.agrformet.2024.110136 · 2024 · External reference
Satellite-based near-real-time global daily terrestrial evapotranspiration estimates
10.5194/essd-16-3993-2024 · 2024 · External reference
Overview of the radiometric and biophysical performance of the MODIS vegetation indices
10.1016/s0034-4257(02)00096-2 · 2002 · External reference
A soil-adjusted vegetation index (SAVI)
10.1016/0034-4257(88)90106-x · 1988 · External reference
Multi-scale evaluation of global gross primary productivity and evapotranspiration products derived from Breathing Earth System Simulator (BESS)
10.1016/j.rse.2016.08.030 · 2016 · External reference
Recent decline in the global land evapotranspiration trend due to limited moisture supply
10.1038/nature09396 · 2010 · External reference
Theory-Guided Data Science: A New Paradigm for Scientific Discovery from Data
10.1109/tkde.2017.2720168 · 2017 · External reference
Explainable machine learning for joint estimation of evapotranspiration and gross primary productivity in a winter wheat cropland in Northwest China
10.1016/j.agwat.2026.110163 · 2026 · External reference
A unified approach to interpreting model predictions
2017 · External reference
A Surface Temperature Initiated Closure (STIC) for surface energy balance fluxes
10.1016/j.rse.2013.10.022 · 2014 · External reference
Bridging Thermal Infrared Sensing and Physically-Based Evapotranspiration Modeling: From Theoretical Implementation to Validation Across an Aridity Gradient in Australian Ecosystems
10.1029/2017wr021357 · 2018 · External reference
Energy balance closure at FLUXNET sites revisited
10.1016/j.agrformet.2024.110235 · 2024 · External reference
Benchmark products for land evapotranspiration: LandFlux-EVAL multi-data set synthesis
10.5194/hess-17-3707-2013 · 2013 · External reference
Environmental and biological controls on the interannual variations of evapotranspiration in a natural oak forest
10.1016/j.agrformet.2024.109969 · 2024 · External reference
Evaluation of global terrestrial evapotranspiration using state-of-the-art approaches in remote sensing, machine learning and land surface modeling
10.5194/hess-24-1485-2020 · 2020 · External reference
The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data
10.1038/s41597-020-0534-3 · 2020 · External reference
Deep learning and process understanding for data-driven Earth system science
10.1038/s41586-019-0912-1 · 2019 · External reference
Cross-validation strategies for data with temporal, spatial, hierarchical, or phylogenetic structure
10.1111/ecog.02881 · 2017 · External reference
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
10.1038/s42256-019-0048-x · 2019 · External reference
The Surface Energy Balance System (SEBS) for estimation of turbulent heat fluxes
10.5194/hess-6-85-2002 · 2002 · External reference
Refining water and carbon fluxes modeling in terrestrial ecosystems via plant hydraulics integration
10.1016/j.agrformet.2024.110256 · 2024 · External reference
Spatial-temporal patterns of land surface evapotranspiration from global products
10.1016/j.rse.2024.114066 · 2024 · External reference
blockCV: An r package for generating spatially or environmentally separated folds for k-fold cross-validation of species distribution models
10.1111/2041-210x.13107 · 2019 · External reference
Assessing the accuracy of OpenET satellite-based evapotranspiration data to support water resource and land management applications
10.1038/s44221-023-00181-7 · 2024 · External reference
A review of global terrestrial evapotranspiration: Observation, modeling, climatology, and climatic variability
10.1029/2011rg000373 · 2012 · External reference
A physics-constrained deep learning framework for actual evapotranspiration estimation using ground station observations and remote sensing data
10.1016/j.envsoft.2025.106585 · 2025 · External reference
Improving terrestrial evapotranspiration estimation using physics-guided machine learning model driven by solar-induced chlorophyll fluorescence
10.1016/j.jhydrol.2025.133468 · 2025 · External reference
Energy balance closure at FLUXNET sites
10.1016/s0168-1923(02)00109-0 · 2002 · External reference
Assessing evapotranspiration observed from ECOSTRESS using flux measurements in agroecosystems
10.1016/j.agwat.2022.107706 · 2022 · External reference
A multimodal machine learning fused global 0.1° daily evapotranspiration dataset from 1950-2022
10.1016/j.agrformet.2025.110645 · 2025 · External reference
MODIS-driven estimation of terrestrial latent heat flux in China based on a modified Priestley–Taylor algorithm
10.1016/j.agrformet.2012.11.016 · 2013 · External reference
Evaluation of optical remote sensing to estimate actual evapotranspiration and canopy conductance
10.1016/j.rse.2012.11.004 · 2013 · External reference
The effect of relative humidity on eddy covariance latent heat flux measurements and its implication for partitioning into transpiration and evaporation
10.1016/j.agrformet.2022.109305 · 2023 · External reference
Seamless terrestrial evapotranspiration estimation by machine learning models across the Contiguous United States
10.1016/j.ecolind.2024.112203 · 2024 · External reference
Ensemble machine learning paradigms in hydrology: a review
10.1016/j.jhydrol.2021.126266 · 2021 · External reference
The future of evapotranspiration: Global requirements for ecosystem functioning, carbon and climate feedbacks, agricultural management, and water resources
10.1002/2016wr020175 · ExternalCitation · doi-reference
A soil-adjusted vegetation index (SAVI)
10.1016/0034-4257(88)90106-x · ExternalCitation · doi-reference
MODIS-driven estimation of terrestrial latent heat flux in China based on a modified Priestley–Taylor algorithm
10.1016/j.agrformet.2012.11.016 · ExternalCitation · doi-reference
Multi-site evaluation of terrestrial evaporation models using FLUXNET data
10.1016/j.agrformet.2013.11.008 · ExternalCitation · doi-reference
On the use of machine learning based ensemble approaches to improve evapotranspiration estimates from croplands across a wide environmental gradient
10.1016/j.agrformet.2020.108308 · ExternalCitation · doi-reference
The effect of relative humidity on eddy covariance latent heat flux measurements and its implication for partitioning into transpiration and evaporation
10.1016/j.agrformet.2022.109305 · ExternalCitation · doi-reference
A brief history of the thermal IR-based Two-Source Energy Balance (TSEB) model – diagnosing evapotranspiration from plant to global scales
10.1016/j.agrformet.2024.109951 · ExternalCitation · doi-reference
Environmental and biological controls on the interannual variations of evapotranspiration in a natural oak forest
10.1016/j.agrformet.2024.109969 · ExternalCitation · doi-reference
Innovative approach for estimating evapotranspiration and gross primary productivity by integrating land data assimilation, machine learning, and multi-source observations
10.1016/j.agrformet.2024.110136 · ExternalCitation · doi-reference
Energy balance closure at FLUXNET sites revisited
10.1016/j.agrformet.2024.110235 · ExternalCitation · doi-reference
Refining water and carbon fluxes modeling in terrestrial ecosystems via plant hydraulics integration
10.1016/j.agrformet.2024.110256 · ExternalCitation · doi-reference
A multimodal machine learning fused global 0.1° daily evapotranspiration dataset from 1950-2022
10.1016/j.agrformet.2025.110645 · ExternalCitation · doi-reference
Evapotranspiration information reporting: I. Factors governing measurement accuracy
10.1016/j.agwat.2010.12.015 · ExternalCitation · doi-reference
Evapotranspiration evaluation models based on machine learning algorithms—A comparative study
10.1016/j.agwat.2019.03.015 · ExternalCitation · doi-reference
Assessing evapotranspiration observed from ECOSTRESS using flux measurements in agroecosystems
10.1016/j.agwat.2022.107706 · ExternalCitation · doi-reference
Explainable machine learning to quantify the value of proximal remote sensing in latent energy flux estimation
10.1016/j.agwat.2025.109643 · ExternalCitation · doi-reference
Interpretable machine learning workflow for estimating reference crop evapotranspiration in China's five major dry-wet regions using limited meteorological data
10.1016/j.agwat.2026.110143 · ExternalCitation · doi-reference
Explainable machine learning for joint estimation of evapotranspiration and gross primary productivity in a winter wheat cropland in Northwest China
10.1016/j.agwat.2026.110163 · ExternalCitation · doi-reference
Seamless terrestrial evapotranspiration estimation by machine learning models across the Contiguous United States
10.1016/j.ecolind.2024.112203 · ExternalCitation · doi-reference
A physics-constrained deep learning framework for actual evapotranspiration estimation using ground station observations and remote sensing data
10.1016/j.envsoft.2025.106585 · ExternalCitation · doi-reference
Decomposition of the mean squared error and NSE performance criteria: Implications for improving hydrological modelling
10.1016/j.jhydrol.2009.08.003 · ExternalCitation · doi-reference
Using Bayesian model averaging to estimate terrestrial evapotranspiration in China
10.1016/j.jhydrol.2015.06.059 · ExternalCitation · doi-reference
Ensemble machine learning paradigms in hydrology: a review
10.1016/j.jhydrol.2021.126266 · ExternalCitation · doi-reference
Improving terrestrial evapotranspiration estimation using physics-guided machine learning model driven by solar-induced chlorophyll fluorescence
10.1016/j.jhydrol.2025.133468 · ExternalCitation · doi-reference
Global estimates of the land–atmosphere water flux based on monthly AVHRR and ISLSCP-II data, validated at 16 FLUXNET sites
10.1016/j.rse.2007.06.025 · ExternalCitation · doi-reference
Use of Landsat thermal imagery in monitoring evapotranspiration and managing water resources
10.1016/j.rse.2011.08.025 · ExternalCitation · doi-reference
Evaluation of optical remote sensing to estimate actual evapotranspiration and canopy conductance
10.1016/j.rse.2012.11.004 · ExternalCitation · doi-reference
Comparison of satellite-based evapotranspiration models over terrestrial ecosystems in China
10.1016/j.rse.2013.08.045 · ExternalCitation · doi-reference
A Surface Temperature Initiated Closure (STIC) for surface energy balance fluxes
10.1016/j.rse.2013.10.022 · ExternalCitation · doi-reference
Multi-scale evaluation of global gross primary productivity and evapotranspiration products derived from Breathing Earth System Simulator (BESS)
10.1016/j.rse.2016.08.030 · ExternalCitation · doi-reference
A remote sensing-based two-leaf canopy conductance model: Global optimization and applications in modeling gross primary productivity and evapotranspiration of crops
10.1016/j.rse.2018.06.005 · ExternalCitation · doi-reference
An automated multi-model evapotranspiration mapping framework using remotely sensed and reanalysis data
10.1016/j.rse.2019.04.026 · ExternalCitation · doi-reference
Evolution of evapotranspiration models using thermal and shortwave remote sensing data
10.1016/j.rse.2019.111594 · ExternalCitation · doi-reference
Spatial-temporal patterns of land surface evapotranspiration from global products
10.1016/j.rse.2024.114066 · ExternalCitation · doi-reference
Overview of the radiometric and biophysical performance of the MODIS vegetation indices
10.1016/s0034-4257(02)00096-2 · ExternalCitation · doi-reference
Energy balance closure at FLUXNET sites
10.1016/s0168-1923(02)00109-0 · ExternalCitation · doi-reference
A review of global terrestrial evapotranspiration: Observation, modeling, climatology, and climatic variability
10.1029/2011rg000373 · ExternalCitation · doi-reference
Bridging Thermal Infrared Sensing and Physically-Based Evapotranspiration Modeling: From Theoretical Implementation to Validation Across an Aridity Gradient in Australian Ecosystems
10.1029/2017wr021357 · ExternalCitation · doi-reference
ECOSTRESS: NASA's Next Generation Mission to Measure Evapotranspiration From the International Space Station
10.1029/2019wr026058 · ExternalCitation · doi-reference
Recent decline in the global land evapotranspiration trend due to limited moisture supply
10.1038/nature09396 · ExternalCitation · doi-reference
Human domination of the global water cycle absent from depictions and perceptions
10.1038/s41561-019-0374-y · ExternalCitation · doi-reference
Deep learning and process understanding for data-driven Earth system science
10.1038/s41586-019-0912-1 · ExternalCitation · doi-reference
The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data
10.1038/s41597-020-0534-3 · ExternalCitation · doi-reference
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
10.1038/s42256-019-0048-x · ExternalCitation · doi-reference
Assessing the accuracy of OpenET satellite-based evapotranspiration data to support water resource and land management applications
10.1038/s44221-023-00181-7 · ExternalCitation · doi-reference
Assessing the eddy covariance technique for evaluating carbon dioxide exchange rates of ecosystems: past, present and future
10.1046/j.1365-2486.2003.00629.x · ExternalCitation · doi-reference
Diagnosis of environmental controls on daily actual evapotranspiration across a global flux tower network: the roles of water and energy
10.1088/1748-9326/abcc8c · ExternalCitation · doi-reference
Theory-Guided Data Science: A New Paradigm for Scientific Discovery from Data
10.1109/tkde.2017.2720168 · ExternalCitation · doi-reference
blockCV: An r package for generating spatially or environmentally separated folds for k-fold cross-validation of species distribution models
10.1111/2041-210x.13107 · ExternalCitation · doi-reference
Cross-validation strategies for data with temporal, spatial, hierarchical, or phylogenetic structure
10.1111/ecog.02881 · ExternalCitation · doi-reference
Bayesian Model Averaging: A Systematic Review and Conceptual Classification
10.1111/insr.12243 · ExternalCitation · doi-reference
ET come home: potential evapotranspiration in geographical ecology
10.1111/j.1466-8238.2010.00578.x · ExternalCitation · doi-reference
Visualizing the Effects of Predictor Variables in Black Box Supervised Learning Models
10.1111/rssb.12377 · ExternalCitation · doi-reference
The energy balance closure problem: an overview
10.1890/06-0922.1 · ExternalCitation · doi-reference
ESD Reviews: Model dependence in multi-model climate ensembles: weighting, sub-selection and out-of-sample testing
10.5194/esd-10-91-2019 · ExternalCitation · doi-reference
Satellite-based near-real-time global daily terrestrial evapotranspiration estimates
10.5194/essd-16-3993-2024 · ExternalCitation · doi-reference
Dynamically weighted ensemble of geoscientific models via automated machine-learning-based classification
10.5194/gmd-16-5685-2023 · ExternalCitation · doi-reference
Benchmark products for land evapotranspiration: LandFlux-EVAL multi-data set synthesis
10.5194/hess-17-3707-2013 · ExternalCitation · doi-reference
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
10.5194/hess-22-2311-2018 · ExternalCitation · doi-reference
Evaluation of global terrestrial evapotranspiration using state-of-the-art approaches in remote sensing, machine learning and land surface modeling
10.5194/hess-24-1485-2020 · ExternalCitation · doi-reference
The Surface Energy Balance System (SEBS) for estimation of turbulent heat fluxes
10.5194/hess-6-85-2002 · ExternalCitation · doi-reference
