Articles | Volume 20, issue 8
https://doi.org/10.5194/hess-20-3167-2016
© Author(s) 2016. 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-20-3167-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
08 Aug 2016
Research article |
| 08 Aug 2016
Comparison of satellite-based evapotranspiration estimates over the Tibetan Plateau
Max Planck Institute for Meteorology, 20146 Hamburg, Germany
Alexander Loew
Max Planck Institute for Meteorology, 20146 Hamburg, Germany
Department of Geography, Ludwig-Maximilians Universität
München (LMU), 80333 Munich, Germany
Xuelong Chen
Faculty of Geo-Information Science and Earth Observation,
University of Twente, Enschede 7500 AE, the Netherlands
Yaoming Ma
Key Laboratory of Tibetan Environment Changes and Land Surface
Processes, Institute of Tibetan Plateau Research, Chinese Academy of
Sciences, Beijing 100101, China
CAS Center for Excellence in Tibetan Plateau Earth Sciences,
Chinese Academy of Sciences, Beijing 100101, China
Zhongbo Su
Faculty of Geo-Information Science and Earth Observation,
University of Twente, Enschede 7500 AE, the Netherlands
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- 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. 10.1016/j.jhydrol.2022.128346
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- Long-term monthly 0.05° terrestrial evapotranspiration dataset (1982–2018) for the Tibetan Plateau L. Yuan et al. 10.5194/essd-16-775-2024
- Spatial patterns and recent temporal trends in global transpiration modelled using eco-evolutionary optimality S. Li et al. 10.1016/j.agrformet.2023.109702
- A doubled increasing trend of evapotranspiration on the Tibetan Plateau X. Chen et al. 10.1016/j.scib.2024.03.046
- Estimates of net primary productivity and actual evapotranspiration over the Tibetan Plateau from the Community Land Model version 4.5 with four atmospheric forcing datasets S. Lin et al. 10.1093/jpe/rtae052
- Influences of leaf area index and albedo on estimating energy fluxes with HOLAPS framework J. Peng et al. 10.1016/j.jhydrol.2019.124245
- The impact of the terrain effect on land surface temperature variation based on Landsat-8 observations in mountainous areas J. He et al. 10.1080/01431161.2018.1466082
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- Simulation of land surface heat fluxes in permafrost regions on the Qinghai-Tibetan Plateau using CMIP5 models G. Hu et al. 10.1016/j.atmosres.2019.01.006
- Can We Use Satellite-Based FAPAR to Detect Drought? J. Peng et al. 10.3390/s19173662
- A modified MOD16 algorithm to estimate evapotranspiration over alpine meadow on the Tibetan Plateau, China Y. Chang et al. 10.1016/j.jhydrol.2018.03.054
- Improvement of AMSR2 Soil Moisture Retrieval Using a Soil-Vegetation Temperature Decomposition Algorithm X. Meng et al. 10.1109/LGRS.2022.3218518
- A harmonized global land evaporation dataset from model-based products covering 1980–2017 J. Lu et al. 10.5194/essd-13-5879-2021
- Elevation‐dependent changes in the trend of reference evapotranspiration in the Tibetan Plateau during 1960–2017 Y. Chang et al. 10.1002/joc.7964
- Ampirik Potansiyel Evapotranspirasyon Tahmin Yöntemlerinin Değerlendirilmesi: Uygulama Konya Kapalı Havzası N. ŞARLAK & S. BAĞÇACI 10.18400/tekderg.408019
- Spatiotemporal Variability and Driving Factors of Tibetan Plateau Water Use Efficiency S. Lin et al. 10.1029/2020JD032642
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- Remote sensing of earth’s energy budget: synthesis and review S. Liang et al. 10.1080/17538947.2019.1597189
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- Using a Groundwater Adjusted Water Balance Approach and Copulas to Evaluate Spatial Patterns and Dependence Structures in Remote Sensing Derived Evapotranspiration Products M. Soltani et al. 10.3390/rs13050853
- Downscaling SMAP soil moisture estimation with gradient boosting decision tree regression over the Tibetan Plateau Z. Wei et al. 10.1016/j.rse.2019.02.022
- Water and Energy Balance Model GOES-PRWEB: Development and Validation E. Harmsen et al. 10.3390/hydrology8030113
- Using GRACE to constrain precipitation amount over cold mountainous basins A. Behrangi et al. 10.1002/2016GL071832
- Extents of Predictors for Land Surface Temperature Using Multiple Regression Model R. Yuvaraj 10.1155/2020/3958589
- Accelerated hydrological cycle on the Tibetan Plateau evidenced by ensemble modeling of Long-term water budgets Y. Wang et al. 10.1016/j.jhydrol.2022.128710
- An Enhanced MOD16 Evapotranspiration Model for the Tibetan Plateau During the Unfrozen Season L. Yuan et al. 10.1029/2020JD032787
- Determinants of Physical Processes and Their Contributions for Uncertainties in Simulated Evapotranspiration Over the Tibetan Plateau G. Sun et al. 10.1029/2021JD035756
- Impacts of Vegetation and Topography on Land Surface Temperature Variability over the Semi-Arid Mountain Cities of Saudi Arabia A. Bindajam et al. 10.3390/atmos11070762
30 citations as recorded by crossref.
- 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. 10.1016/j.jhydrol.2022.128346
- Generation and evaluation of energy and water fluxes from the HOLAPS framework: Comparison with satellite-based products during extreme hot weather A. García-García & J. Peng 10.1016/j.rse.2024.114451
- Long-term monthly 0.05° terrestrial evapotranspiration dataset (1982–2018) for the Tibetan Plateau L. Yuan et al. 10.5194/essd-16-775-2024
- Spatial patterns and recent temporal trends in global transpiration modelled using eco-evolutionary optimality S. Li et al. 10.1016/j.agrformet.2023.109702
- A doubled increasing trend of evapotranspiration on the Tibetan Plateau X. Chen et al. 10.1016/j.scib.2024.03.046
- Estimates of net primary productivity and actual evapotranspiration over the Tibetan Plateau from the Community Land Model version 4.5 with four atmospheric forcing datasets S. Lin et al. 10.1093/jpe/rtae052
- Influences of leaf area index and albedo on estimating energy fluxes with HOLAPS framework J. Peng et al. 10.1016/j.jhydrol.2019.124245
- The impact of the terrain effect on land surface temperature variation based on Landsat-8 observations in mountainous areas J. He et al. 10.1080/01431161.2018.1466082
- An improved process-based evapotranspiration/heat fluxes remote sensing algorithm based on the Bayesian and Sobol’ uncertainty analysis framework using eddy covariance observations of Tibetan grasslands J. Feng et al. 10.1016/j.jhydrol.2022.128384
- Simulation of land surface heat fluxes in permafrost regions on the Qinghai-Tibetan Plateau using CMIP5 models G. Hu et al. 10.1016/j.atmosres.2019.01.006
- Can We Use Satellite-Based FAPAR to Detect Drought? J. Peng et al. 10.3390/s19173662
- A modified MOD16 algorithm to estimate evapotranspiration over alpine meadow on the Tibetan Plateau, China Y. Chang et al. 10.1016/j.jhydrol.2018.03.054
- Improvement of AMSR2 Soil Moisture Retrieval Using a Soil-Vegetation Temperature Decomposition Algorithm X. Meng et al. 10.1109/LGRS.2022.3218518
- A harmonized global land evaporation dataset from model-based products covering 1980–2017 J. Lu et al. 10.5194/essd-13-5879-2021
- Elevation‐dependent changes in the trend of reference evapotranspiration in the Tibetan Plateau during 1960–2017 Y. Chang et al. 10.1002/joc.7964
- Ampirik Potansiyel Evapotranspirasyon Tahmin Yöntemlerinin Değerlendirilmesi: Uygulama Konya Kapalı Havzası N. ŞARLAK & S. BAĞÇACI 10.18400/tekderg.408019
- Spatiotemporal Variability and Driving Factors of Tibetan Plateau Water Use Efficiency S. Lin et al. 10.1029/2020JD032642
- Estimating Daily Reference Evapotranspiration in a Semi-Arid Region Using Remote Sensing Data P. Najmaddin et al. 10.3390/rs9080779
- Long-Term Spatiotemporal Dynamics of Terrestrial Biophysical Variables in the Three-River Headwaters Region of China from Satellite and Meteorological Datasets X. Bei et al. 10.3390/rs11141633
- Estimating High-Resolution Soil Moisture Over Mountainous Regions Using Remotely-Sensed Multispectral and Topographic Data L. Fan et al. 10.1109/JSTARS.2022.3166974
- Remote sensing of earth’s energy budget: synthesis and review S. Liang et al. 10.1080/17538947.2019.1597189
- Improving Actual Evapotranspiration Estimation Integrating Energy Consumption for Ice Phase Change Across the Tibetan Plateau G. Wang et al. 10.1029/2019JD031799
- Using a Groundwater Adjusted Water Balance Approach and Copulas to Evaluate Spatial Patterns and Dependence Structures in Remote Sensing Derived Evapotranspiration Products M. Soltani et al. 10.3390/rs13050853
- Downscaling SMAP soil moisture estimation with gradient boosting decision tree regression over the Tibetan Plateau Z. Wei et al. 10.1016/j.rse.2019.02.022
- Water and Energy Balance Model GOES-PRWEB: Development and Validation E. Harmsen et al. 10.3390/hydrology8030113
- Using GRACE to constrain precipitation amount over cold mountainous basins A. Behrangi et al. 10.1002/2016GL071832
- Extents of Predictors for Land Surface Temperature Using Multiple Regression Model R. Yuvaraj 10.1155/2020/3958589
- Accelerated hydrological cycle on the Tibetan Plateau evidenced by ensemble modeling of Long-term water budgets Y. Wang et al. 10.1016/j.jhydrol.2022.128710
- An Enhanced MOD16 Evapotranspiration Model for the Tibetan Plateau During the Unfrozen Season L. Yuan et al. 10.1029/2020JD032787
- Determinants of Physical Processes and Their Contributions for Uncertainties in Simulated Evapotranspiration Over the Tibetan Plateau G. Sun et al. 10.1029/2021JD035756
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Latest update: 24 Dec 2024
Short summary
The Tibetan Plateau plays a major role in regional and global climate. The knowledge of latent heat flux can help to better describe the complex interactions between land and atmosphere. The purpose of this paper is to provide a detailed cross-comparison of existing latent heat flux products over the TP. The results highlight the recently developed latent heat product – High Resolution Land Surface Parameters from Space (HOLAPS).
The Tibetan Plateau plays a major role in regional and global climate. The knowledge of latent...
