Articles | Volume 22, issue 8
Hydrol. Earth Syst. Sci., 22, 4513–4533, 2018
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.
Hydrol. Earth Syst. Sci., 22, 4513–4533, 2018
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
Exploring the merging of the global land evaporation WACMOS-ET products based on local tower measurements
Carlos Jiménez et al.
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Cited
17 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
- Linking observation, modelling and satellite-based estimation of global land evapotranspiration J. Zhang et al. 10.1080/20964471.2020.1743612
- Robust historical evapotranspiration trends across climate regimes S. Hobeichi et al. 10.5194/hess-25-3855-2021
- Conserving Land–Atmosphere Synthesis Suite (CLASS) S. Hobeichi et al. 10.1175/JCLI-D-19-0036.1
- A harmonized global land evaporation dataset from model-based products covering 1980–2017 J. Lu et al. 10.5194/essd-13-5879-2021
- Influences of leaf area index and albedo on estimating energy fluxes with HOLAPS framework J. Peng et al. 10.1016/j.jhydrol.2019.124245
- 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
- Evaluating the land-surface energy partitioning in ERA5 B. Martens et al. 10.5194/gmd-13-4159-2020
- 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
- Linear Optimal Runoff Aggregate (LORA): a global gridded synthesis runoff product S. Hobeichi et al. 10.5194/hess-23-851-2019
- Satellite Observations of the Tropical Terrestrial Carbon Balance and Interactions With the Water Cycle During the 21st Century J. Worden et al. 10.1029/2020RG000711
- 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
17 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
- Linking observation, modelling and satellite-based estimation of global land evapotranspiration J. Zhang et al. 10.1080/20964471.2020.1743612
- Robust historical evapotranspiration trends across climate regimes S. Hobeichi et al. 10.5194/hess-25-3855-2021
- Conserving Land–Atmosphere Synthesis Suite (CLASS) S. Hobeichi et al. 10.1175/JCLI-D-19-0036.1
- A harmonized global land evaporation dataset from model-based products covering 1980–2017 J. Lu et al. 10.5194/essd-13-5879-2021
- Influences of leaf area index and albedo on estimating energy fluxes with HOLAPS framework J. Peng et al. 10.1016/j.jhydrol.2019.124245
- 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
- Evaluating the land-surface energy partitioning in ERA5 B. Martens et al. 10.5194/gmd-13-4159-2020
- 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
- Linear Optimal Runoff Aggregate (LORA): a global gridded synthesis runoff product S. Hobeichi et al. 10.5194/hess-23-851-2019
- Satellite Observations of the Tropical Terrestrial Carbon Balance and Interactions With the Water Cycle During the 21st Century J. Worden et al. 10.1029/2020RG000711
- 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: 27 Jun 2022
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...
