Hydrology and Earth System Sciences
Hydrology and Earth System Sciences
HESS
Articles | Volume 27, issue 2
Articles | Volume 27, issue 2
https://doi.org/10.5194/hess-27-363-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-27-363-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 27, issue 2
Research article
 | 
19 Jan 2023
Research article |  | 19 Jan 2023

Improved soil evaporation remote sensing retrieval algorithms and associated uncertainty analysis on the Tibetan Plateau

Jin Feng, Ke Zhang, Huijie Zhan, and Lijun Chao

Viewed

Total article views: 2,242 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,725 458 59 2,242 43 37
  • HTML: 1,725
  • PDF: 458
  • XML: 59
  • Total: 2,242
  • BibTeX: 43
  • EndNote: 37
Views and downloads (calculated since 10 Jun 2022)
Cumulative views and downloads (calculated since 10 Jun 2022)

Viewed (geographical distribution)

Total article views: 2,242 (including HTML, PDF, and XML) Thereof 2,161 with geography defined and 81 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 02 Nov 2024
Download
Short summary
Here we improved a satellite-driven evaporation algorithm by introducing the modified versions of the two constraint schemes. The two moisture constraint schemes largely improved the evaporation estimation on two barren-dominated basins of the Tibetan Plateau. Investigation of moisture constraint uncertainty showed that high-quality soil moisture can optimally represent moisture, and more accessible precipitation data generally help improve the estimation of barren evaporation.
Read more