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.
Data description paper
| 
12 Apr 2024
Data description paper |
| 12 Apr 2024
| 12 Apr 2024
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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Cited
13 citations as recorded by crossref.
- Global evaluation of terrestrial evaporation trend from diagnostic products F. Ruan et al. 10.1016/j.jhydrol.2025.132979
- Thresholds in land-atmosphere interactions on the Qinghai-Tibet Plateau: impacts of permafrost degradation via vegetation changes F. Ji et al. 10.1016/j.jhydrol.2025.133912
- Tibetan Plateau Runoff and Evapotranspiration Dataset by an observation-constrained cryosphere-hydrology model X. Fan et al. 10.1038/s41597-024-03623-3
- Evaluation of Noah-MP Land Surface Model-Simulated Water and Carbon Fluxes Using the FLUXNET Dataset B. Pan et al. 10.3390/land14071400
- Evaluation of the performance of multiple reanalysis forcing data in potential evapotranspiration estimation and its implication for actual evapotranspiration modeling Y. Xie et al. 10.1016/j.jhydrol.2025.133472
- High resolution (1 km-daily) potential evapotranspiration dataset over Europe and the Mediterranean region S. Bouabdelli et al. 10.1016/j.jhydrol.2025.133839
- 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. 10.1016/j.gloplacha.2024.104634
- Triple Collocation-Based Uncertainty Analysis and Data Fusion of Multi-Source Evapotranspiration Data Across China D. Wang et al. 10.3390/atmos15121410
- Asymmetric environmental responses on evapotranspiration in Tibetan Plateau grassland L. Ma et al. 10.1016/j.scitotenv.2025.178699
- Changes and drivers of long-term land evapotranspiration in the Yangtze River Basin: A water balance perspective H. Bai et al. 10.1016/j.jhydrol.2025.132763
- A harmonized global gridded transpiration product based on collocation analysis C. Li et al. 10.1038/s41597-024-03425-7
- Global terrestrial evaporation from physically-based, calibration-free complementary relationship Z. Tu et al. 10.1016/j.jhydrol.2025.133382
- CAMELE: Collocation-Analyzed Multi-source Ensembled Land Evapotranspiration Data C. Li et al. 10.5194/essd-16-1811-2024
12 citations as recorded by crossref.
- Global evaluation of terrestrial evaporation trend from diagnostic products F. Ruan et al. 10.1016/j.jhydrol.2025.132979
- Thresholds in land-atmosphere interactions on the Qinghai-Tibet Plateau: impacts of permafrost degradation via vegetation changes F. Ji et al. 10.1016/j.jhydrol.2025.133912
- Tibetan Plateau Runoff and Evapotranspiration Dataset by an observation-constrained cryosphere-hydrology model X. Fan et al. 10.1038/s41597-024-03623-3
- Evaluation of Noah-MP Land Surface Model-Simulated Water and Carbon Fluxes Using the FLUXNET Dataset B. Pan et al. 10.3390/land14071400
- Evaluation of the performance of multiple reanalysis forcing data in potential evapotranspiration estimation and its implication for actual evapotranspiration modeling Y. Xie et al. 10.1016/j.jhydrol.2025.133472
- High resolution (1 km-daily) potential evapotranspiration dataset over Europe and the Mediterranean region S. Bouabdelli et al. 10.1016/j.jhydrol.2025.133839
- 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. 10.1016/j.gloplacha.2024.104634
- Triple Collocation-Based Uncertainty Analysis and Data Fusion of Multi-Source Evapotranspiration Data Across China D. Wang et al. 10.3390/atmos15121410
- Asymmetric environmental responses on evapotranspiration in Tibetan Plateau grassland L. Ma et al. 10.1016/j.scitotenv.2025.178699
- Changes and drivers of long-term land evapotranspiration in the Yangtze River Basin: A water balance perspective H. Bai et al. 10.1016/j.jhydrol.2025.132763
- A harmonized global gridded transpiration product based on collocation analysis C. Li et al. 10.1038/s41597-024-03425-7
- Global terrestrial evaporation from physically-based, calibration-free complementary relationship Z. Tu et al. 10.1016/j.jhydrol.2025.133382
1 citations as recorded by crossref.
Latest update: 28 Aug 2025
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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