Articles | Volume 22, issue 4
https://doi.org/10.5194/hess-22-2311-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-22-2311-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| Highlight paper
| 
18 Apr 2018
Research article | Highlight paper |
| 18 Apr 2018
| 18 Apr 2018
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
School for Environment and Sustainability, University of Michigan, Ann Arbor, MI 48109, USA
Kaniska Mallick
Remote Sensing and Ecohydrological Modeling, Water Security and Safety Research Unit, Dept. ERIN, Luxembourg Institute of Science and Technology (LIST), 4422 Belvaux, Luxembourg
Nathaniel A. Brunsell
Geography and Atmospheric Science, University of Kansas, Lawrence, KS 66045, USA
Ge Sun
Eastern Forest Environmental Threat Assessment Center, Southern Research Station, US Department of Agriculture Forest Service, Raleigh, NC 27606, USA
Meha Jain
School for Environment and Sustainability, University of Michigan, Ann Arbor, MI 48109, USA
Viewed
Total article views: 9,590 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 11 Sep 2017)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 7,507 | 1,890 | 193 | 9,590 | 833 | 205 | 246 |
- HTML: 7,507
- PDF: 1,890
- XML: 193
- Total: 9,590
- Supplement: 833
- BibTeX: 205
- EndNote: 246
Total article views: 7,938 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 18 Apr 2018)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 6,306 | 1,455 | 177 | 7,938 | 564 | 184 | 219 |
- HTML: 6,306
- PDF: 1,455
- XML: 177
- Total: 7,938
- Supplement: 564
- BibTeX: 184
- EndNote: 219
Total article views: 1,652 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 11 Sep 2017)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 1,201 | 435 | 16 | 1,652 | 269 | 21 | 27 |
- HTML: 1,201
- PDF: 435
- XML: 16
- Total: 1,652
- Supplement: 269
- BibTeX: 21
- EndNote: 27
Viewed (geographical distribution)
Total article views: 9,590 (including HTML, PDF, and XML)
Thereof 8,861 with geography defined
and 729 with unknown origin.
Total article views: 7,938 (including HTML, PDF, and XML)
Thereof 7,258 with geography defined
and 680 with unknown origin.
Total article views: 1,652 (including HTML, PDF, and XML)
Thereof 1,603 with geography defined
and 49 with unknown origin.
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
Cited
44 citations as recorded by crossref.
- Applicability of Different Assimilation Algorithms in Crop Growth Model Simulation of Evapotranspiration J. Wang et al. https://doi.org/10.3390/agronomy14112674
- Comparison of Remote Sensing based Multi-Source ET Models over Cropland in a Semi-Humid Region of China Q. Zhuang et al. https://doi.org/10.3390/atmos11040325
- An automated multi-model evapotranspiration mapping framework using remotely sensed and reanalysis data N. Bhattarai et al. https://doi.org/10.1016/j.rse.2019.04.026
- Multiscale evaluation of three remote sensing-based evapotranspiration models across the humid to arid tropics: a study over India K. Athira et al. https://doi.org/10.1080/02626667.2025.2541749
- Global changes in potential evapotranspiration (1992–2020) and associated drivers: Shuttleworth-Wallace model-based analysis Z. Bi et al. https://doi.org/10.1016/j.jhydrol.2025.133435
- A Critical Evaluation on the Role of Aerodynamic and Canopy–Surface Conductance Parameterization in SEB and SVAT Models for Simulating Evapotranspiration: A Case Study in the Upper Biebrza National Park Wetland in Poland K. Mallick et al. https://doi.org/10.3390/w10121753
- Evaluation of Three Land Surface Temperature Products From Landsat Series Using in Situ Measurements M. Wang et al. https://doi.org/10.1109/TGRS.2022.3232624
- Remote Sensing, Geophysics, and Modeling to Support Precision Agriculture—Part 2: Irrigation Management A. Pradipta et al. https://doi.org/10.3390/w14071157
- Reference Evapotranspiration (ETo) Methods Implemented as ArcMap Models with Remote-Sensed and Ground-Based Inputs, Examined along with MODIS ET, for Peloponnese, Greece S. Dimitriadou & K. Nikolakopoulos https://doi.org/10.3390/ijgi10060390
- Using remote sensing information to enhance the understanding of the coupling of terrestrial ecosystem evapotranspiration and photosynthesis on a global scale Y. Bai et al. https://doi.org/10.1016/j.jag.2021.102329
- Evapotranspiration Seasonality over Tropical Ecosystems in Mato Grosso, Brazil M. Biudes et al. https://doi.org/10.3390/rs14102482
- Using phase lags to evaluate model biases in simulating the diurnal cycle of evapotranspiration: a case study in Luxembourg M. Renner et al. https://doi.org/10.5194/hess-23-515-2019
- Dynamics of evapotranspiration over a non-irrigated alfalfa field in the Southern Great Plains of the United States P. Wagle et al. https://doi.org/10.1016/j.agwat.2019.105727
- Monitoring agricultural drought in Peshawar Valley, Pakistan using long -term satellite and meteorological data T. Javed et al. https://doi.org/10.1007/s11356-023-31345-3
- Improving terrestrial evapotranspiration estimation of the Tibetan Plateau by coupling SEBS with machine learning-derived aerodynamic resistance Y. Kan et al. https://doi.org/10.1016/j.jhydrol.2025.133711
- Performance of four state-of-the-art GPP products (VPM, MOD17, BESS and PML) for grasslands in drought years Y. Pei et al. https://doi.org/10.1016/j.ecoinf.2020.101052
- Multiple sources of uncertainties in satellite retrieval of terrestrial actual evapotranspiration M. Cao et al. https://doi.org/10.1016/j.jhydrol.2021.126642
- Bridging Thermal Infrared Sensing and Physically‐Based Evapotranspiration Modeling: From Theoretical Implementation to Validation Across an Aridity Gradient in Australian Ecosystems K. Mallick et al. https://doi.org/10.1029/2017WR021357
- Increased Bias in Evapotranspiration Modeling Due to Weather and Vegetation Indices Data Sources R. Dhungel et al. https://doi.org/10.2134/agronj2018.10.0636
- Improving Estimation of Cropland Evapotranspiration by the Bayesian Model Averaging Method with Surface Energy Balance Models H. Sun et al. https://doi.org/10.3390/atmos10040188
- LandMOD ET mapper: A new matlab-based graphical user interface (GUI) for automated implementation of SEBAL and METRIC models in thermal imagery N. Bhattarai & T. Liu https://doi.org/10.1016/j.envsoft.2019.04.007
- A first assessment of airborne HyTES-based land surface temperature and evapotranspiration M. Pascolini-Campbell et al. https://doi.org/10.1016/j.rsase.2024.101344
- Uncertainties Caused by Resistances in Evapotranspiration Estimation Using High-Density Eddy Covariance Measurements W. Zhao et al. https://doi.org/10.1175/JHM-D-19-0191.1
- Insights Into the Aerodynamic Versus Radiometric Surface Temperature Debate in Thermal‐Based Evaporation Modeling K. Mallick et al. https://doi.org/10.1029/2021GL097568
- Evaluating European ECOSTRESS Hub Evapotranspiration Products Across a Range of Soil‐Atmospheric Aridity and Biomes Over Europe T. Hu et al. https://doi.org/10.1029/2022WR034132
- A novel approach to increase accuracy in remotely sensed evapotranspiration through basin water balance and flux tower constraints K. Khand et al. https://doi.org/10.1016/j.jhydrol.2025.133824
- The role of aerodynamic resistance in thermal remote sensing-based evapotranspiration models I. Trebs et al. https://doi.org/10.1016/j.rse.2021.112602
- Recent Advances in Remote Sensing of Evapotranspiration N. Bhattarai & P. Wagle https://doi.org/10.3390/rs13214260
- A coupled ground heat flux–surface energy balance model of evaporation using thermal remote sensing observations B. Bhattacharya et al. https://doi.org/10.5194/bg-19-5521-2022
- Challenges and Future Perspectives of Multi-/Hyperspectral Thermal Infrared Remote Sensing for Crop Water-Stress Detection: A Review M. Gerhards et al. https://doi.org/10.3390/rs11101240
- 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
- On the use of machine learning based ensemble approaches to improve evapotranspiration estimates from croplands across a wide environmental gradient Y. Bai et al. https://doi.org/10.1016/j.agrformet.2020.108308
- Assessing evapotranspiration in rainfed and irrigated Alfalfa in the U.S. southern great plains using eddy covariance measurements and OpenET products P. Wagle et al. https://doi.org/10.1016/j.agrformet.2026.111032
- Earth Observations-Based Evapotranspiration in Northeastern Thailand C. Zheng et al. https://doi.org/10.3390/rs11020138
- Estimating evapotranspiration based on the satellite-retrieved near-infrared reflectance of vegetation (NIRv) over croplands L. Tang et al. https://doi.org/10.1080/15481603.2021.1947622
- High spatial resolution thermal infrared data from airborne acquisition reveal inconsistencies in evapotranspiration and crop water stress retrieval from different models C. Corbari et al. https://doi.org/10.1016/j.rsase.2025.101563
- Landscape-scale hydrologic response of plant invasion relative to native vegetation in urban forests K. Singh et al. https://doi.org/10.1016/j.scitotenv.2021.149903
- Integrating machine learning with thermal-driven analytical energy balance model improved terrestrial evapotranspiration estimation through enhanced surface conductance Y. Bai et al. https://doi.org/10.1016/j.rse.2024.114308
- Annual Actual Evapotranspiration Estimation via GIS Models of Three Empirical Methods Employing Remotely Sensed Data for the Peloponnese, Greece, and Comparison with Annual MODIS ET and Pan Evaporation Measurements S. Dimitriadou & K. Nikolakopoulos https://doi.org/10.3390/ijgi10080522
- A Modeling Framework for Deriving Daily Time Series of Evapotranspiration Maps Using a Surface Energy Balance Model K. Khand et al. https://doi.org/10.3390/rs11050508
- Thermally derived evapotranspiration from the Surface Temperature Initiated Closure (STIC) model improves cropland GPP estimates under dry conditions Y. Bai et al. https://doi.org/10.1016/j.rse.2022.112901
- A Method of Using WRF-Simulated Surface Temperature to Estimate Daily Evapotranspiration D. Wang et al. https://doi.org/10.1175/JAMC-D-19-0287.1
- 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
- Wildfire controls on land surface properties in mixed conifer and ponderosa pine forests of Sierra Nevada and Klamath mountains, Western US S. Shrestha et al. https://doi.org/10.1016/j.agrformet.2022.108939
44 citations as recorded by crossref.
- Applicability of Different Assimilation Algorithms in Crop Growth Model Simulation of Evapotranspiration J. Wang et al. https://doi.org/10.3390/agronomy14112674
- Comparison of Remote Sensing based Multi-Source ET Models over Cropland in a Semi-Humid Region of China Q. Zhuang et al. https://doi.org/10.3390/atmos11040325
- An automated multi-model evapotranspiration mapping framework using remotely sensed and reanalysis data N. Bhattarai et al. https://doi.org/10.1016/j.rse.2019.04.026
- Multiscale evaluation of three remote sensing-based evapotranspiration models across the humid to arid tropics: a study over India K. Athira et al. https://doi.org/10.1080/02626667.2025.2541749
- Global changes in potential evapotranspiration (1992–2020) and associated drivers: Shuttleworth-Wallace model-based analysis Z. Bi et al. https://doi.org/10.1016/j.jhydrol.2025.133435
- A Critical Evaluation on the Role of Aerodynamic and Canopy–Surface Conductance Parameterization in SEB and SVAT Models for Simulating Evapotranspiration: A Case Study in the Upper Biebrza National Park Wetland in Poland K. Mallick et al. https://doi.org/10.3390/w10121753
- Evaluation of Three Land Surface Temperature Products From Landsat Series Using in Situ Measurements M. Wang et al. https://doi.org/10.1109/TGRS.2022.3232624
- Remote Sensing, Geophysics, and Modeling to Support Precision Agriculture—Part 2: Irrigation Management A. Pradipta et al. https://doi.org/10.3390/w14071157
- Reference Evapotranspiration (ETo) Methods Implemented as ArcMap Models with Remote-Sensed and Ground-Based Inputs, Examined along with MODIS ET, for Peloponnese, Greece S. Dimitriadou & K. Nikolakopoulos https://doi.org/10.3390/ijgi10060390
- Using remote sensing information to enhance the understanding of the coupling of terrestrial ecosystem evapotranspiration and photosynthesis on a global scale Y. Bai et al. https://doi.org/10.1016/j.jag.2021.102329
- Evapotranspiration Seasonality over Tropical Ecosystems in Mato Grosso, Brazil M. Biudes et al. https://doi.org/10.3390/rs14102482
- Using phase lags to evaluate model biases in simulating the diurnal cycle of evapotranspiration: a case study in Luxembourg M. Renner et al. https://doi.org/10.5194/hess-23-515-2019
- Dynamics of evapotranspiration over a non-irrigated alfalfa field in the Southern Great Plains of the United States P. Wagle et al. https://doi.org/10.1016/j.agwat.2019.105727
- Monitoring agricultural drought in Peshawar Valley, Pakistan using long -term satellite and meteorological data T. Javed et al. https://doi.org/10.1007/s11356-023-31345-3
- Improving terrestrial evapotranspiration estimation of the Tibetan Plateau by coupling SEBS with machine learning-derived aerodynamic resistance Y. Kan et al. https://doi.org/10.1016/j.jhydrol.2025.133711
- Performance of four state-of-the-art GPP products (VPM, MOD17, BESS and PML) for grasslands in drought years Y. Pei et al. https://doi.org/10.1016/j.ecoinf.2020.101052
- Multiple sources of uncertainties in satellite retrieval of terrestrial actual evapotranspiration M. Cao et al. https://doi.org/10.1016/j.jhydrol.2021.126642
- Bridging Thermal Infrared Sensing and Physically‐Based Evapotranspiration Modeling: From Theoretical Implementation to Validation Across an Aridity Gradient in Australian Ecosystems K. Mallick et al. https://doi.org/10.1029/2017WR021357
- Increased Bias in Evapotranspiration Modeling Due to Weather and Vegetation Indices Data Sources R. Dhungel et al. https://doi.org/10.2134/agronj2018.10.0636
- Improving Estimation of Cropland Evapotranspiration by the Bayesian Model Averaging Method with Surface Energy Balance Models H. Sun et al. https://doi.org/10.3390/atmos10040188
- LandMOD ET mapper: A new matlab-based graphical user interface (GUI) for automated implementation of SEBAL and METRIC models in thermal imagery N. Bhattarai & T. Liu https://doi.org/10.1016/j.envsoft.2019.04.007
- A first assessment of airborne HyTES-based land surface temperature and evapotranspiration M. Pascolini-Campbell et al. https://doi.org/10.1016/j.rsase.2024.101344
- Uncertainties Caused by Resistances in Evapotranspiration Estimation Using High-Density Eddy Covariance Measurements W. Zhao et al. https://doi.org/10.1175/JHM-D-19-0191.1
- Insights Into the Aerodynamic Versus Radiometric Surface Temperature Debate in Thermal‐Based Evaporation Modeling K. Mallick et al. https://doi.org/10.1029/2021GL097568
- Evaluating European ECOSTRESS Hub Evapotranspiration Products Across a Range of Soil‐Atmospheric Aridity and Biomes Over Europe T. Hu et al. https://doi.org/10.1029/2022WR034132
- A novel approach to increase accuracy in remotely sensed evapotranspiration through basin water balance and flux tower constraints K. Khand et al. https://doi.org/10.1016/j.jhydrol.2025.133824
- The role of aerodynamic resistance in thermal remote sensing-based evapotranspiration models I. Trebs et al. https://doi.org/10.1016/j.rse.2021.112602
- Recent Advances in Remote Sensing of Evapotranspiration N. Bhattarai & P. Wagle https://doi.org/10.3390/rs13214260
- A coupled ground heat flux–surface energy balance model of evaporation using thermal remote sensing observations B. Bhattacharya et al. https://doi.org/10.5194/bg-19-5521-2022
- Challenges and Future Perspectives of Multi-/Hyperspectral Thermal Infrared Remote Sensing for Crop Water-Stress Detection: A Review M. Gerhards et al. https://doi.org/10.3390/rs11101240
- 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
- On the use of machine learning based ensemble approaches to improve evapotranspiration estimates from croplands across a wide environmental gradient Y. Bai et al. https://doi.org/10.1016/j.agrformet.2020.108308
- Assessing evapotranspiration in rainfed and irrigated Alfalfa in the U.S. southern great plains using eddy covariance measurements and OpenET products P. Wagle et al. https://doi.org/10.1016/j.agrformet.2026.111032
- Earth Observations-Based Evapotranspiration in Northeastern Thailand C. Zheng et al. https://doi.org/10.3390/rs11020138
- Estimating evapotranspiration based on the satellite-retrieved near-infrared reflectance of vegetation (NIRv) over croplands L. Tang et al. https://doi.org/10.1080/15481603.2021.1947622
- High spatial resolution thermal infrared data from airborne acquisition reveal inconsistencies in evapotranspiration and crop water stress retrieval from different models C. Corbari et al. https://doi.org/10.1016/j.rsase.2025.101563
- Landscape-scale hydrologic response of plant invasion relative to native vegetation in urban forests K. Singh et al. https://doi.org/10.1016/j.scitotenv.2021.149903
- Integrating machine learning with thermal-driven analytical energy balance model improved terrestrial evapotranspiration estimation through enhanced surface conductance Y. Bai et al. https://doi.org/10.1016/j.rse.2024.114308
- Annual Actual Evapotranspiration Estimation via GIS Models of Three Empirical Methods Employing Remotely Sensed Data for the Peloponnese, Greece, and Comparison with Annual MODIS ET and Pan Evaporation Measurements S. Dimitriadou & K. Nikolakopoulos https://doi.org/10.3390/ijgi10080522
- A Modeling Framework for Deriving Daily Time Series of Evapotranspiration Maps Using a Surface Energy Balance Model K. Khand et al. https://doi.org/10.3390/rs11050508
- Thermally derived evapotranspiration from the Surface Temperature Initiated Closure (STIC) model improves cropland GPP estimates under dry conditions Y. Bai et al. https://doi.org/10.1016/j.rse.2022.112901
- A Method of Using WRF-Simulated Surface Temperature to Estimate Daily Evapotranspiration D. Wang et al. https://doi.org/10.1175/JAMC-D-19-0287.1
- 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
- Wildfire controls on land surface properties in mixed conifer and ponderosa pine forests of Sierra Nevada and Klamath mountains, Western US S. Shrestha et al. https://doi.org/10.1016/j.agrformet.2022.108939
Saved (final revised paper)
Latest update: 08 Sep 2026
Short summary
We report the first ever regional-scale implementation of the Surface Temperature Initiated Closure (STIC1.2) model for mapping evapotranspiration (ET) using MODIS land surface and gridded climate datasets to overcome the existing uncertainties in aerodynamic temperature and conductance estimation in global ET models. Validation and intercomparison with SEBS and MOD16 products across an aridity gradient in the US manifested better ET mapping potential of STIC1.2 in different climates and biomes.
We report the first ever regional-scale implementation of the Surface Temperature Initiated...
