Articles | Volume 15, issue 2
https://doi.org/10.5194/essd-15-521-2023
https://doi.org/10.5194/essd-15-521-2023
Data description paper
 | 
02 Feb 2023
Data description paper |  | 02 Feb 2023

Flood detection using Gravity Recovery and Climate Experiment (GRACE) terrestrial water storage and extreme precipitation data

Jianxin Zhang, Kai Liu, and Ming Wang

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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-2022-242', Anonymous Referee #1, 12 Aug 2022
    • AC1: 'Reply on RC1', Kai Liu, 13 Aug 2022
  • RC2: 'Comment on essd-2022-242', Anonymous Referee #2, 29 Aug 2022
    • AC2: 'Reply on RC2', Kai Liu, 17 Sep 2022
      • RC3: 'Reply on AC2', Anonymous Referee #2, 04 Oct 2022
        • AC3: 'Reply on RC3', Kai Liu, 14 Oct 2022
  • RC4: 'Comment on essd-2022-242', Anonymous Referee #3, 02 Nov 2022
  • RC5: 'Comment on essd-2022-242', Anonymous Referee #4, 07 Nov 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Kai Liu on behalf of the Authors (05 Dec 2022)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (04 Jan 2023) by Alexander Gelfan
AR by Kai Liu on behalf of the Authors (04 Jan 2023)  Manuscript 

Post-review adjustments

AA: Author's adjustment | EA: Editor approval
AA by Kai Liu on behalf of the Authors (30 Jan 2023)   Author's adjustment   Manuscript
EA: Adjustments approved (31 Jan 2023) by Alexander Gelfan
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Short summary
This study successfully extracted global flood days based on gravity satellite and precipitation data between 60° S and 60° N from 1 April 2002 to 31 August 2016. Our flood days data performed well compared with current available observations. This provides an important data foundation for analyzing the spatiotemporal distribution of large-scale floods and exploring the impact of ocean–atmosphere oscillations on floods in different regions.
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