Articles | Volume 16, issue 4
https://doi.org/10.5194/essd-16-1811-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-16-1811-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
CAMELE: Collocation-Analyzed Multi-source Ensembled Land Evapotranspiration Data
Changming Li
State Key Laboratory of Hydroscience and Engineering, Department of Hydraulic Engineering, Tsinghua University, Beijing 100084, China
Ziwei Liu
State Key Laboratory of Hydroscience and Engineering, Department of Hydraulic Engineering, Tsinghua University, Beijing 100084, China
Wencong Yang
State Key Laboratory of Hydroscience and Engineering, Department of Hydraulic Engineering, Tsinghua University, Beijing 100084, China
Zhuoyi Tu
State Key Laboratory of Hydroscience and Engineering, Department of Hydraulic Engineering, Tsinghua University, Beijing 100084, China
Juntai Han
State Key Laboratory of Hydroscience and Engineering, Department of Hydraulic Engineering, Tsinghua University, Beijing 100084, China
Sien Li
Center for Agricultural Water Research in China, China Agricultural University, Beijing 100083, China
State Key Laboratory of Hydroscience and Engineering, Department of Hydraulic Engineering, Tsinghua University, Beijing 100084, China
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- Evaluation of the performance of multiple reanalysis forcing data in potential evapotranspiration estimation and its implication for actual evapotranspiration modeling Y. Xie et al. https://doi.org/10.1016/j.jhydrol.2025.133472
- Widespread increase in root zone water use exacerbates water stress in cultivated regions S. Du et al. https://doi.org/10.1016/j.agrformet.2026.111188
- Spatial patterns and environmental drivers of evapotranspiration across the Chinese Grassland Transect L. Ma et al. https://doi.org/10.1016/j.jhydrol.2026.134920
- Prolonged drought strongly suppresses temperate grasslands actual evapotranspiration: Insights from eddy covariance observations upscaling L. Ma et al. https://doi.org/10.1016/j.agwat.2026.110211
- Multi-timescale evapotranspiration fusion: A novel autoencoder with automated machine learning-based approach for enhanced estimation accuracy M. Ci et al. https://doi.org/10.1016/j.agwat.2025.110086
- Impact of climate change on hydrological processes in data-scarce regions: A case study in Tianshan Mountain, Central Asia H. Wang et al. https://doi.org/10.1016/j.ejrh.2026.103553
- Multi-scale evaluation of six fused evapotranspiration products over mainland China: Accuracy, consistency and uncertainty D. Wang et al. https://doi.org/10.1016/j.jhydrol.2025.134371
- Tibetan Plateau Runoff and Evapotranspiration Dataset by an observation-constrained cryosphere-hydrology model X. Fan et al. https://doi.org/10.1038/s41597-024-03623-3
- Incorporating plant access to groundwater in global root zone storage capacity estimate S. Du et al. https://doi.org/10.1016/j.agrformet.2025.110807
- High resolution (1 km-daily) potential evapotranspiration dataset over Europe and the Mediterranean region S. Bouabdelli et al. https://doi.org/10.1016/j.jhydrol.2025.133839
- Asymmetric evolution of capturability of atmospheric water (CAW) across global arid and humid regions H. Lu et al. https://doi.org/10.1016/j.jhydrol.2026.135817
- Comparative Analysis of Multi-Source Evapotranspiration Products in Xinjiang, China J. Chen et al. https://doi.org/10.3390/rs17193297
- Global evaluation of terrestrial evaporation trend from diagnostic products F. Ruan et al. https://doi.org/10.1016/j.jhydrol.2025.132979
- Asymmetric environmental responses on evapotranspiration in Tibetan Plateau grassland L. Ma et al. https://doi.org/10.1016/j.scitotenv.2025.178699
- Global terrestrial evaporation from physically-based, calibration-free complementary relationship Z. Tu et al. https://doi.org/10.1016/j.jhydrol.2025.133382
- Thresholds in land-atmosphere interactions on the Qinghai-Tibet Plateau: impacts of permafrost degradation via vegetation changes F. Ji et al. https://doi.org/10.1016/j.jhydrol.2025.133912
- Evaluation of Noah-MP Land Surface Model-Simulated Water and Carbon Fluxes Using the FLUXNET Dataset B. Pan et al. https://doi.org/10.3390/land14071400
- Satellite-derived evapotranspiration for calibrating a spatially distributed hydrological model in a highly regulated Iranian river basin A. Jahanshahi https://doi.org/10.1016/j.jaridenv.2026.105627
- Evapotranspiration increase is more sensitive to vegetation greening than to vegetation type conversion in arid and semi-arid regions of China Y. Zhu et al. https://doi.org/10.1016/j.gloplacha.2024.104634
- Spatially Seamless Error Characterization of ERA5, GLDAS, GLEAM, and MERRA2 ET Products Using Quadruple Collocation Analysis and Random Forest W. Yue et al. https://doi.org/10.3390/rs18081239
- Triple Collocation-Based Uncertainty Analysis and Data Fusion of Multi-Source Evapotranspiration Data Across China D. Wang et al. https://doi.org/10.3390/atmos15121410
- Assessments of eight ET products based on long-term multi-source water balance elements in 133 catchments across China X. Fu et al. https://doi.org/10.1016/j.jhydrol.2026.135928
- Changes and drivers of long-term land evapotranspiration in the Yangtze River Basin: A water balance perspective H. Bai et al. https://doi.org/10.1016/j.jhydrol.2025.132763
- A harmonized global gridded transpiration product based on collocation analysis C. Li et al. https://doi.org/10.1038/s41597-024-03425-7
25 citations as recorded by crossref.
- A process-based modeling of soil organic matter physical properties for land surface models – Part 2: Global land surface simulations and mineral soil compactness adjustment B. Decharme et al. https://doi.org/10.5194/gmd-19-7239-2026
- Evaluation of the performance of multiple reanalysis forcing data in potential evapotranspiration estimation and its implication for actual evapotranspiration modeling Y. Xie et al. https://doi.org/10.1016/j.jhydrol.2025.133472
- Widespread increase in root zone water use exacerbates water stress in cultivated regions S. Du et al. https://doi.org/10.1016/j.agrformet.2026.111188
- Spatial patterns and environmental drivers of evapotranspiration across the Chinese Grassland Transect L. Ma et al. https://doi.org/10.1016/j.jhydrol.2026.134920
- Prolonged drought strongly suppresses temperate grasslands actual evapotranspiration: Insights from eddy covariance observations upscaling L. Ma et al. https://doi.org/10.1016/j.agwat.2026.110211
- Multi-timescale evapotranspiration fusion: A novel autoencoder with automated machine learning-based approach for enhanced estimation accuracy M. Ci et al. https://doi.org/10.1016/j.agwat.2025.110086
- Impact of climate change on hydrological processes in data-scarce regions: A case study in Tianshan Mountain, Central Asia H. Wang et al. https://doi.org/10.1016/j.ejrh.2026.103553
- Multi-scale evaluation of six fused evapotranspiration products over mainland China: Accuracy, consistency and uncertainty D. Wang et al. https://doi.org/10.1016/j.jhydrol.2025.134371
- Tibetan Plateau Runoff and Evapotranspiration Dataset by an observation-constrained cryosphere-hydrology model X. Fan et al. https://doi.org/10.1038/s41597-024-03623-3
- Incorporating plant access to groundwater in global root zone storage capacity estimate S. Du et al. https://doi.org/10.1016/j.agrformet.2025.110807
- High resolution (1 km-daily) potential evapotranspiration dataset over Europe and the Mediterranean region S. Bouabdelli et al. https://doi.org/10.1016/j.jhydrol.2025.133839
- Asymmetric evolution of capturability of atmospheric water (CAW) across global arid and humid regions H. Lu et al. https://doi.org/10.1016/j.jhydrol.2026.135817
- Comparative Analysis of Multi-Source Evapotranspiration Products in Xinjiang, China J. Chen et al. https://doi.org/10.3390/rs17193297
- Global evaluation of terrestrial evaporation trend from diagnostic products F. Ruan et al. https://doi.org/10.1016/j.jhydrol.2025.132979
- Asymmetric environmental responses on evapotranspiration in Tibetan Plateau grassland L. Ma et al. https://doi.org/10.1016/j.scitotenv.2025.178699
- Global terrestrial evaporation from physically-based, calibration-free complementary relationship Z. Tu et al. https://doi.org/10.1016/j.jhydrol.2025.133382
- Thresholds in land-atmosphere interactions on the Qinghai-Tibet Plateau: impacts of permafrost degradation via vegetation changes F. Ji et al. https://doi.org/10.1016/j.jhydrol.2025.133912
- Evaluation of Noah-MP Land Surface Model-Simulated Water and Carbon Fluxes Using the FLUXNET Dataset B. Pan et al. https://doi.org/10.3390/land14071400
- Satellite-derived evapotranspiration for calibrating a spatially distributed hydrological model in a highly regulated Iranian river basin A. Jahanshahi https://doi.org/10.1016/j.jaridenv.2026.105627
- Evapotranspiration increase is more sensitive to vegetation greening than to vegetation type conversion in arid and semi-arid regions of China Y. Zhu et al. https://doi.org/10.1016/j.gloplacha.2024.104634
- Spatially Seamless Error Characterization of ERA5, GLDAS, GLEAM, and MERRA2 ET Products Using Quadruple Collocation Analysis and Random Forest W. Yue et al. https://doi.org/10.3390/rs18081239
- Triple Collocation-Based Uncertainty Analysis and Data Fusion of Multi-Source Evapotranspiration Data Across China D. Wang et al. https://doi.org/10.3390/atmos15121410
- Assessments of eight ET products based on long-term multi-source water balance elements in 133 catchments across China X. Fu et al. https://doi.org/10.1016/j.jhydrol.2026.135928
- Changes and drivers of long-term land evapotranspiration in the Yangtze River Basin: A water balance perspective H. Bai et al. https://doi.org/10.1016/j.jhydrol.2025.132763
- A harmonized global gridded transpiration product based on collocation analysis C. Li et al. https://doi.org/10.1038/s41597-024-03425-7
Saved (final revised paper)
Latest update: 25 Aug 2026
Short summary
Using a collocation-based approach, we developed a reliable global land evapotranspiration product (CAMELE) by merging multi-source datasets. The CAMELE product outperformed individual input datasets and showed satisfactory performance compared to reference data. It also demonstrated superiority for different plant functional types. Our study provides a promising solution for data fusion. The CAMELE dataset allows for detailed research and a better understanding of land–atmosphere interactions.
Using a collocation-based approach, we developed a reliable global land evapotranspiration...
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