Articles | Volume 21, issue 3
https://doi.org/10.5194/hess-21-1339-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-21-1339-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
07 Mar 2017
Research article |
| 07 Mar 2017
Estimation of surface energy fluxes in the Arctic tundra using the remote sensing thermal-based Two-Source Energy Balance model
Geophysical Institute, University of Alaska Fairbanks, Fairbanks,
Alaska 99775, USA
Institute of Northern Engineering, Water Environmental Research
Center, University of Alaska Fairbanks, Fairbanks, Alaska 99775, USA
Anupma Prakash
Geophysical Institute, University of Alaska Fairbanks, Fairbanks,
Alaska 99775, USA
Martha C. Anderson
Hydrology and Remote Sensing Laboratory, United States Department of
Agriculture, Agriculture Research Service, Beltsville, Maryland 20705, USA
William P. Kustas
Hydrology and Remote Sensing Laboratory, United States Department of
Agriculture, Agriculture Research Service, Beltsville, Maryland 20705, USA
Eugénie S. Euskirchen
Institute of Arctic Biology. University of Alaska Fairbanks,
Fairbanks, Alaska 99775, USA
Douglas L. Kane
Institute of Northern Engineering, Water Environmental Research
Center, University of Alaska Fairbanks, Fairbanks, Alaska 99775, USA
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Cited
17 citations as recorded by crossref.
- A brief history of the thermal IR-based Two-Source Energy Balance (TSEB) model – diagnosing evapotranspiration from plant to global scales M. Anderson et al. 10.1016/j.agrformet.2024.109951
- Assessment of the indirect impact of wildfire (severity) on actual evapotranspiration in eucalyptus forest based on the surface energy balance estimated from remote-sensing techniques M. Häusler et al. 10.1080/01431161.2018.1460508
- Influence of Tundra Polygon Type and Climate Variability on CO2 and CH4 Fluxes Near Utqiagvik, Alaska S. Dengel et al. 10.1029/2021JG006262
- Assessment of atmospheric emissivity models for clear-sky conditions with reanalysis data L. Morales-Salinas et al. 10.1038/s41598-023-40499-6
- Evaluating European ECOSTRESS Hub Evapotranspiration Products Across a Range of Soil‐Atmospheric Aridity and Biomes Over Europe T. Hu et al. 10.1029/2022WR034132
- An Improved Single-Channel Method to Retrieve Land Surface Temperature from the Landsat-8 Thermal Band J. Cristóbal et al. 10.3390/rs10030431
- Flow over a snow-water-snow surface in the high Arctic, Svalbard: Turbulent fluxes and comparison of observation techniques A. Sjöblom et al. 10.1016/j.polar.2020.100549
- Surface Energy Budgets of Arctic Tundra During Growing Season H. El Sharif et al. 10.1029/2019JD030650
- Estimation of surface energy fluxes in the permafrost region of the Tibetan Plateau based on in situ measurements and the surface energy balance system model J. Yao et al. 10.1002/joc.6551
- The surface energy balance of Austre Lovénbreen, Svalbard, during the ablation period in 2014 X. Zou et al. 10.33265/polar.v40.5318
- Performance of Priestley–Taylor model for estimating evaporation with and without snow coverage over a temperate meadow in Inner Mongolia, China N. Chen et al. 10.1111/wej.12395
- Reconstructing NDVI and land surface temperature for cloud cover pixels of Landsat-8 images for assessing vegetation health index in the Northeast region of Thailand S. Mohanasundaram et al. 10.1007/s10661-022-10802-5
- Evaluation and spatio-temporal analysis of surface energy flux in permafrost regions over the Qinghai-Tibet Plateau and Arctic using CMIP6 models J. Ma et al. 10.1080/17538947.2022.2142307
- Carbon stocks and fluxes in the high latitudes: using site-level data to evaluate Earth system models S. Chadburn et al. 10.5194/bg-14-5143-2017
- Surface Energy Flux Estimation in Two Boreal Settings in Alaska Using a Thermal-Based Remote Sensing Model J. Cristóbal et al. 10.3390/rs12244108
- A Global Implementation of Single‐ and Dual‐Source Surface Energy Balance Models for Estimating Actual Evapotranspiration at 30‐m Resolution Using Google Earth Engine H. Jaafar et al. 10.1029/2022WR032800
- Crop Drought Identification Index for winter wheat based on evapotranspiration in the Huang-Huai-Hai Plain, China X. Wu et al. 10.1016/j.agee.2018.05.001
17 citations as recorded by crossref.
- A brief history of the thermal IR-based Two-Source Energy Balance (TSEB) model – diagnosing evapotranspiration from plant to global scales M. Anderson et al. 10.1016/j.agrformet.2024.109951
- Assessment of the indirect impact of wildfire (severity) on actual evapotranspiration in eucalyptus forest based on the surface energy balance estimated from remote-sensing techniques M. Häusler et al. 10.1080/01431161.2018.1460508
- Influence of Tundra Polygon Type and Climate Variability on CO2 and CH4 Fluxes Near Utqiagvik, Alaska S. Dengel et al. 10.1029/2021JG006262
- Assessment of atmospheric emissivity models for clear-sky conditions with reanalysis data L. Morales-Salinas et al. 10.1038/s41598-023-40499-6
- Evaluating European ECOSTRESS Hub Evapotranspiration Products Across a Range of Soil‐Atmospheric Aridity and Biomes Over Europe T. Hu et al. 10.1029/2022WR034132
- An Improved Single-Channel Method to Retrieve Land Surface Temperature from the Landsat-8 Thermal Band J. Cristóbal et al. 10.3390/rs10030431
- Flow over a snow-water-snow surface in the high Arctic, Svalbard: Turbulent fluxes and comparison of observation techniques A. Sjöblom et al. 10.1016/j.polar.2020.100549
- Surface Energy Budgets of Arctic Tundra During Growing Season H. El Sharif et al. 10.1029/2019JD030650
- Estimation of surface energy fluxes in the permafrost region of the Tibetan Plateau based on in situ measurements and the surface energy balance system model J. Yao et al. 10.1002/joc.6551
- The surface energy balance of Austre Lovénbreen, Svalbard, during the ablation period in 2014 X. Zou et al. 10.33265/polar.v40.5318
- Performance of Priestley–Taylor model for estimating evaporation with and without snow coverage over a temperate meadow in Inner Mongolia, China N. Chen et al. 10.1111/wej.12395
- Reconstructing NDVI and land surface temperature for cloud cover pixels of Landsat-8 images for assessing vegetation health index in the Northeast region of Thailand S. Mohanasundaram et al. 10.1007/s10661-022-10802-5
- Evaluation and spatio-temporal analysis of surface energy flux in permafrost regions over the Qinghai-Tibet Plateau and Arctic using CMIP6 models J. Ma et al. 10.1080/17538947.2022.2142307
- Carbon stocks and fluxes in the high latitudes: using site-level data to evaluate Earth system models S. Chadburn et al. 10.5194/bg-14-5143-2017
- Surface Energy Flux Estimation in Two Boreal Settings in Alaska Using a Thermal-Based Remote Sensing Model J. Cristóbal et al. 10.3390/rs12244108
- A Global Implementation of Single‐ and Dual‐Source Surface Energy Balance Models for Estimating Actual Evapotranspiration at 30‐m Resolution Using Google Earth Engine H. Jaafar et al. 10.1029/2022WR032800
- Crop Drought Identification Index for winter wheat based on evapotranspiration in the Huang-Huai-Hai Plain, China X. Wu et al. 10.1016/j.agee.2018.05.001
Latest update: 20 Nov 2024
Short summary
Quantifying trends in surface energy fluxes is crucial for forecasting ecological responses in Arctic regions.
An extensive evaluation using a thermal-based remote sensing model and ground measurements was performed in Alaska's Arctic tundra for 5 years. Results showed an accurate temporal trend of surface energy fluxes in concert with vegetation dynamics. This work builds toward a regional implementation over Arctic ecosystems to assess response of surface energy fluxes to climate change.
Quantifying trends in surface energy fluxes is crucial for forecasting ecological responses in...
