Articles | Volume 27, issue 22
Research article
15 Nov 2023
Research article |  | 15 Nov 2023

Drought cascades across multiple systems in Central Asia identified based on the dynamic space–time motion approach

Lu Tian, Markus Disse, and Jingshui Huang


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on hess-2023-140', Anonymous Referee #1, 27 Jun 2023
    • AC1: 'Reply on RC1', Lu Tian, 07 Sep 2023
  • RC2: 'Comment on hess-2023-140', Anonymous Referee #2, 07 Jul 2023
    • AC2: 'Reply on RC2', Lu Tian, 07 Sep 2023

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
ED: Reconsider after major revisions (further review by editor and referees) (15 Sep 2023) by Shreedhar Maskey
AR by Lu Tian on behalf of the Authors (18 Sep 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (24 Sep 2023) by Shreedhar Maskey
RR by Anonymous Referee #1 (12 Oct 2023)
RR by Sarosh Ghausi (18 Oct 2023)
ED: Publish as is (22 Oct 2023) by Shreedhar Maskey
ED: Publish as is (23 Oct 2023) by Giuliano Di Baldassarre (Executive editor)
AR by Lu Tian on behalf of the Authors (24 Oct 2023)  Author's response   Manuscript 
Short summary
Anthropogenic global warming accelerates the drought evolution in the water cycle, increasing the unpredictability of drought. The evolution of drought is stealthy and challenging to track. This study proposes a new framework to capture the high-precision spatiotemporal progression of drought events in their evolutionary processes and characterize their feature further. It is crucial for addressing the systemic risks within the hydrological cycle associated with drought mitigation.