Articles | Volume 22, issue 2
https://doi.org/10.5194/hess-22-1317-2018
© Author(s) 2018. 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-22-1317-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
21 Feb 2018
Research article |
| 21 Feb 2018
Derived Optimal Linear Combination Evapotranspiration (DOLCE): a global gridded synthesis ET estimate
Sanaa Hobeichi
CORRESPONDING AUTHOR
Climate Change Research Centre, University of New South Wales, Sydney, NSW 2052, Australia
ARC Centre of Excellence for Climate System Science, University of New South Wales, Sydney, NSW 2052, Australia
Gab Abramowitz
Climate Change Research Centre, University of New South Wales, Sydney, NSW 2052, Australia
ARC Centre of Excellence for Climate Extremes, University of New South Wales, Sydney, NSW 2052, Australia
Jason Evans
Climate Change Research Centre, University of New South Wales, Sydney, NSW 2052, Australia
ARC Centre of Excellence for Climate Extremes, University of New South Wales, Sydney, NSW 2052, Australia
Anna Ukkola
Climate Change Research Centre, University of New South Wales, Sydney, NSW 2052, Australia
ARC Centre of Excellence for Climate System Science, University of New South Wales, Sydney, NSW 2052, Australia
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- Spatial-temporal patterns of land surface evapotranspiration from global products R. Tang et al. 10.1016/j.rse.2024.114066
- Influences of leaf area index and albedo on estimating energy fluxes with HOLAPS framework J. Peng et al. 10.1016/j.jhydrol.2019.124245
- Can Indirect Evaluation Methods and Their Fusion Products Reduce Uncertainty in Actual Evapotranspiration Estimates? X. Shao et al. 10.1029/2021WR031069
- A harmonized global land evaporation dataset from model-based products covering 1980–2017 J. Lu et al. 10.5194/essd-13-5879-2021
- Assessment of the Correction of the Reference Evapotranspiration at Nonirrigated Weather Stations Affected by Aridity and Delimitation of the Meteorological Conditions that Limit its Implementation I. de la Antonia Gonzalez 10.1007/s40710-023-00653-8
- Recent extreme drought events in the Amazon rainforest: assessment of different precipitation and evapotranspiration datasets and drought indicators P. Papastefanou et al. 10.5194/bg-19-3843-2022
- Global observed and modelled impacts of irrigation on surface temperature L. Chen & P. Dirmeyer 10.1002/joc.5973
- River flow prediction in data scarce regions: soil moisture integrated satellite rainfall products outperform rain gauge observations in West Africa L. Brocca et al. 10.1038/s41598-020-69343-x
- Australian Precipitation Recycling and Evaporative Source Regions C. Holgate et al. 10.1175/JCLI-D-19-0926.1
- Exploring the merging of the global land evaporation WACMOS-ET products based on local tower measurements C. Jiménez et al. 10.5194/hess-22-4513-2018
- Conserving Land–Atmosphere Synthesis Suite (CLASS) S. Hobeichi et al. 10.1175/JCLI-D-19-0036.1
- RETRACTED ARTICLE: A 10 per cent increase in global land evapotranspiration from 2003 to 2019 M. Pascolini-Campbell et al. 10.1038/s41586-021-03503-5
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- Evaluation of CMIP6 Global Climate Models for Simulating Land Surface Energy and Water Fluxes During 1979–2014 J. Li et al. 10.1029/2021MS002515
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- Reconstructing monthly 0.25° terrestrial evapotranspiration data in a remote arid region using Bayesian-driven ensemble learning method F. Ochege et al. 10.1016/j.jhydrol.2024.131115
- Evaluation of remote sensing-based evapotranspiration products at low-latitude eddy covariance sites D. Salazar-Martínez et al. 10.1016/j.jhydrol.2022.127786
- A Bayesian Three-Cornered Hat (BTCH) Method: Improving the Terrestrial Evapotranspiration Estimation X. He et al. 10.3390/rs12050878
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Latest update: 24 Apr 2024
Short summary
We present a new global ET dataset and associated uncertainty with monthly temporal resolution for 2000–2009 and 0.5 grid cell size. Six existing gridded ET products are combined using a weighting approach trained by observational datasets from 159 FLUXNET sites. We confirm that point-based estimates of flux towers provide information at the grid scale of these products. We also show that the weighted product performs better than 10 different existing global ET datasets in a range of metrics.
We present a new global ET dataset and associated uncertainty with monthly temporal resolution...
