Articles | Volume 27, issue 2
https://doi.org/10.5194/hess-27-363-2023
https://doi.org/10.5194/hess-27-363-2023
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

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on hess-2022-210', Anonymous Referee #1, 04 Jul 2022
    • AC1: 'Reply on RC1', Ke Zhang, 30 Jul 2022
  • RC2: 'Comment on hess-2022-210', Anonymous Referee #2, 29 Jul 2022
    • AC2: 'Reply on RC2', Ke Zhang, 20 Aug 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
ED: Publish subject to revisions (further review by editor and referees) (28 Aug 2022) by Xing Yuan
AR by Ke Zhang on behalf of the Authors (17 Sep 2022)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (25 Sep 2022) by Xing Yuan
RR by Anonymous Referee #1 (02 Oct 2022)
RR by Anonymous Referee #2 (05 Dec 2022)
ED: Publish as is (05 Dec 2022) by Xing Yuan
AR by Ke Zhang on behalf of the Authors (14 Dec 2022)  Manuscript 
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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.