Earth System Science Data
Earth System Science Data
Earth System Science Data
Articles | Volume 16, issue 4
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.
https://doi.org/10.5194/essd-16-1811-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 16, issue 4
Data description paper
 | 
12 Apr 2024
Data description paper |  | 12 Apr 2024

CAMELE: Collocation-Analyzed Multi-source Ensembled Land Evapotranspiration Data

Changming Li, Ziwei Liu, Wencong Yang, Zhuoyi Tu, Juntai Han, Sien Li, and Hanbo Yang

Viewed

Total article views: 4,315 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,981 1,199 135 4,315 260 156 205
  • HTML: 2,981
  • PDF: 1,199
  • XML: 135
  • Total: 4,315
  • Supplement: 260
  • BibTeX: 156
  • EndNote: 205
Views and downloads (calculated since 17 Jul 2023)
Cumulative views and downloads (calculated since 17 Jul 2023)

Viewed (geographical distribution)

Total article views: 4,315 (including HTML, PDF, and XML) Thereof 4,232 with geography defined and 83 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 16 Jan 2026
Download
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.
Read more
Share
Altmetrics
Final-revised paper
Preprint