Articles | Volume 26, issue 12
https://doi.org/10.5194/hess-26-3241-2022
https://doi.org/10.5194/hess-26-3241-2022
Research article
 | 
24 Jun 2022
Research article |  | 24 Jun 2022

Analysis of flash droughts in China using machine learning

Linqi Zhang, Yi Liu, Liliang Ren, Adriaan J. Teuling, Ye Zhu, Linyong Wei, Linyan Zhang, Shanhu Jiang, Xiaoli Yang, Xiuqin Fang, and Hang Yin

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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-2021-541', Anonymous Referee #1, 04 Dec 2021
    • AC1: 'Reply on RC1', Linqi Zhang, 01 Jan 2022
  • RC2: 'Comment on hess-2021-541', Anonymous Referee #2, 11 Dec 2021
    • AC2: 'Reply on RC2', Linqi Zhang, 01 Jan 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) (18 Jan 2022) by Rohini Kumar
AR by Linqi Zhang on behalf of the Authors (23 Feb 2022)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (25 Feb 2022) by Rohini Kumar
RR by Anonymous Referee #2 (31 Mar 2022)
RR by Anonymous Referee #3 (02 May 2022)
ED: Publish subject to minor revisions (review by editor) (02 May 2022) by Rohini Kumar
AR by Linqi Zhang on behalf of the Authors (12 May 2022)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (13 May 2022) by Rohini Kumar
AR by Linqi Zhang on behalf of the Authors (21 May 2022)
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Short summary
In this study, three machine learning methods displayed a good detection capacity of flash droughts. The RF model was recommended to estimate the depletion rate of soil moisture and simulate flash drought by considering the multiple meteorological variable anomalies in the adjacent time to drought onset. The anomalies of precipitation and potential evapotranspiration exhibited a stronger synergistic but asymmetrical effect on flash droughts compared to slowly developing droughts.