Articles | Volume 26, issue 24
https://doi.org/10.5194/hess-26-6427-2022
https://doi.org/10.5194/hess-26-6427-2022
Research article
 | 
21 Dec 2022
Research article |  | 21 Dec 2022

Long-term reconstruction of satellite-based precipitation, soil moisture, and snow water equivalent in China

Wencong Yang, Hanbo Yang, Changming Li, Taihua Wang, Ziwei Liu, Qingfang Hu, and Dawen Yang

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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-2022-135', Anonymous Referee #1, 01 Jun 2022
  • RC2: 'Comment on hess-2022-135', Anonymous Referee #2, 17 Sep 2022
    • AC2: 'Reply on RC2', Wencong Yang, 24 Sep 2022
      • RC3: 'Reply on AC2', Anonymous Referee #2, 24 Sep 2022
        • AC3: 'Reply on RC3', Wencong Yang, 25 Sep 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to revisions (further review by editor and referees) (27 Sep 2022) by Yue-Ping Xu
AR by Wencong Yang on behalf of the Authors (22 Oct 2022)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (24 Oct 2022) by Yue-Ping Xu
RR by Anonymous Referee #2 (08 Nov 2022)
RR by Anonymous Referee #1 (14 Nov 2022)
ED: Publish subject to technical corrections (22 Nov 2022) by Yue-Ping Xu
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Short summary
We produced a daily 0.1° dataset of precipitation, soil moisture, and snow water equivalent in 1981–2017 across China via reconstructions. The dataset used global background data and local on-site data as forcing input and satellite-based data as reconstruction benchmarks. This long-term high-resolution national hydrological dataset is valuable for national investigations of hydrological processes.