Articles | Volume 14, issue 5
Earth Syst. Sci. Data, 14, 2259–2278, 2022
https://doi.org/10.5194/essd-14-2259-2022

Special issue: Extreme environment datasets for the three poles

Earth Syst. Sci. Data, 14, 2259–2278, 2022
https://doi.org/10.5194/essd-14-2259-2022
Data description paper
12 May 2022
Data description paper | 12 May 2022

A global drought dataset of standardized moisture anomaly index incorporating snow dynamics (SZIsnow) and its application in identifying large-scale drought events

Lei Tian et al.

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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 essd-2021-399', Anonymous Referee #1, 10 Dec 2021
    • AC1: 'Reply on RC1', Baoqing Zhang, 19 Dec 2021
  • RC2: 'Comment on essd-2021-399', Anonymous Referee #2, 11 Dec 2021
    • AC2: 'Reply on RC2', Baoqing Zhang, 02 Jan 2022
  • RC3: 'Comment on essd-2021-399', Anonymous Referee #3, 20 Dec 2021
    • AC4: 'Reply on RC3', Baoqing Zhang, 16 Jan 2022
  • RC4: 'Comment on essd-2021-399', Anonymous Referee #4, 20 Dec 2021
    • AC3: 'Reply on RC4', Baoqing Zhang, 12 Jan 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Baoqing Zhang on behalf of the Authors (17 Feb 2022)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (04 Mar 2022) by Xin Li
RR by Anonymous Referee #2 (05 Mar 2022)
RR by Anonymous Referee #3 (10 Mar 2022)
RR by Anonymous Referee #4 (12 Mar 2022)
RR by Anonymous Referee #1 (13 Mar 2022)
ED: Publish subject to minor revisions (review by editor) (25 Mar 2022) by Xin Li
AR by Baoqing Zhang on behalf of the Authors (26 Mar 2022)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (14 Apr 2022) by Xin Li
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Short summary
We propose a global monthly drought dataset with a resolution of 0.25° from 1948 to 2010 based on a multitype and multiscalar drought index, the standardized moisture anomaly index adding snow processes (SZIsnow). The consideration of snow processes improved its capability, and the improvement is prominent over snow-covered high-latitude and high-altitude areas. This new dataset is well suited to monitoring, assessing, and characterizing drought and is a valuable resource for drought studies.