Articles | Volume 22, issue 8
https://doi.org/10.5194/hess-22-4513-2018
© 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-22-4513-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
27 Aug 2018
Research article |
| 27 Aug 2018
| 27 Aug 2018
Exploring the merging of the global land evaporation WACMOS-ET products based on local tower measurements
Carlos Jiménez
CORRESPONDING AUTHOR
Estellus, Paris, France
LERMA, Paris Observatory, Paris, France
Brecht Martens
Laboratory of Hydrology and Water Management, Ghent University, Ghent, Belgium
Diego M. Miralles
Laboratory of Hydrology and Water Management, Ghent University, Ghent, Belgium
Joshua B. Fisher
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California, USA
Hylke E. Beck
Department of Civil and Environmental Engineering, Princeton University, Princeton, New Jersey, USA
Diego Fernández-Prieto
ESRIN, European Space Agency, Frascati, Italy
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- Evaluation of remote sensing-based evapotranspiration products at low-latitude eddy covariance sites D. Salazar-Martínez et al. 10.1016/j.jhydrol.2022.127786
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- Global Terrestrial Evapotranspiration Estimation from Visible Infrared Imaging Radiometer Suite (VIIRS) Data Z. Xie et al. 10.3390/rs16010044
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- Reduction of uncertainties in surface heat flux over the Tibetan Plateau from ERA‐Interim to ERA5 Y. Xin et al. 10.1002/joc.7589
- Modulation of Snow on the Daily Evolution of Surface Heating Over the Tibetan Plateau During Winter: Observational Analyses Y. Xin et al. 10.1029/2021EA001798
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26 citations as recorded by crossref.
- DNN-MET: A deep neural networks method to integrate satellite-derived evapotranspiration products, eddy covariance observations and ancillary information K. Shang et al. 10.1016/j.agrformet.2021.108582
- Robust historical evapotranspiration trends across climate regimes S. Hobeichi et al. 10.5194/hess-25-3855-2021
- The Global LAnd Surface Satellite (GLASS) evapotranspiration product Version 5.0: Algorithm development and preliminary validation Z. Xie et al. 10.1016/j.jhydrol.2022.127990
- A harmonized global land evaporation dataset from model-based products covering 1980–2017 J. Lu et al. 10.5194/essd-13-5879-2021
- Annual and seasonal trends in actual evapotranspiration over different meteorological sub-divisions in India using satellite-based data . Raghavendra Prasad K et al. 10.1007/s00704-023-04436-x
- Evaluation of seven satellite-based and two reanalysis global terrestrial evapotranspiration products Z. Xie et al. 10.1016/j.jhydrol.2024.130649
- Influences of leaf area index and albedo on estimating energy fluxes with HOLAPS framework J. Peng et al. 10.1016/j.jhydrol.2019.124245
- Uncertainty Analysis and Data Fusion of Multi-Source Land Evapotranspiration Products Based on the TCH Method Z. Cui et al. 10.3390/rs16010028
- Evaluating the land-surface energy partitioning in ERA5 B. Martens et al. 10.5194/gmd-13-4159-2020
- Coupling physical constraints with machine learning for satellite-derived evapotranspiration of the Tibetan Plateau K. Shang et al. 10.1016/j.rse.2023.113519
- A Hybrid Model Coupling Physical Constraints and Machine Learning to Estimate Daily Evapotranspiration in the Heihe River Basin X. Li et al. 10.3390/rs16122143
- Linear Optimal Runoff Aggregate (LORA): a global gridded synthesis runoff product S. Hobeichi et al. 10.5194/hess-23-851-2019
- Evaluation of remote sensing-based evapotranspiration products at low-latitude eddy covariance sites D. Salazar-Martínez et al. 10.1016/j.jhydrol.2022.127786
- Evapotranspiration of an Abandoned Grassland in the Italian Alps: Influence of Local Topography, Intra- and Inter-Annual Variability and Environmental Drivers D. Gisolo et al. 10.3390/atmos13060977
- Bridging Scales: An Approach to Evaluate the Temporal Patterns of Global Transpiration Products Using Tree‐Scale Sap Flow Data P. Bittencourt et al. 10.1029/2022JG007308
- Linking observation, modelling and satellite-based estimation of global land evapotranspiration J. Zhang et al. 10.1080/20964471.2020.1743612
- Conserving Land–Atmosphere Synthesis Suite (CLASS) S. Hobeichi et al. 10.1175/JCLI-D-19-0036.1
- Global Terrestrial Evapotranspiration Estimation from Visible Infrared Imaging Radiometer Suite (VIIRS) Data Z. Xie et al. 10.3390/rs16010044
- Reanalysis in Earth System Science: Toward Terrestrial Ecosystem Reanalysis R. Baatz et al. 10.1029/2020RG000715
- Potential of satellite and reanalysis evaporation datasets for hydrological modelling under various model calibration strategies M. Dembélé et al. 10.1016/j.advwatres.2020.103667
- Fusion of Five Satellite-Derived Products Using Extremely Randomized Trees to Estimate Terrestrial Latent Heat Flux over Europe K. Shang et al. 10.3390/rs12040687
- ECOSTRESS: NASA's Next Generation Mission to Measure Evapotranspiration From the International Space Station J. Fisher et al. 10.1029/2019WR026058
- Rethinking Satellite Data Merging: From Averaging to SNR Optimization S. Kim et al. 10.1109/TGRS.2021.3107028
- Reduction of uncertainties in surface heat flux over the Tibetan Plateau from ERA‐Interim to ERA5 Y. Xin et al. 10.1002/joc.7589
- Modulation of Snow on the Daily Evolution of Surface Heating Over the Tibetan Plateau During Winter: Observational Analyses Y. Xin et al. 10.1029/2021EA001798
- ERA5-Land: a state-of-the-art global reanalysis dataset for land applications J. Muñoz-Sabater et al. 10.5194/essd-13-4349-2021
Latest update: 17 Jul 2024
Short summary
Observing the amount of water evaporated in nature is not easy, and we need to combine accurate local measurements with estimates from satellites, more uncertain but covering larger areas. This is the main topic of our paper, in which local observations are compared with global land evaporation estimates, followed by a weighting of the global observations based on this comparison to attempt derive a more accurate evaporation product.
Observing the amount of water evaporated in nature is not easy, and we need to combine accurate...
