Articles | Volume 13, issue 6
https://doi.org/10.5194/essd-13-2945-2021
https://doi.org/10.5194/essd-13-2945-2021
Data description paper
 | 
23 Jun 2021
Data description paper |  | 23 Jun 2021

CLIGEN parameter regionalization for mainland China

Wenting Wang, Shuiqing Yin, Bofu Yu, and Shaodong 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-2020-344', Anonymous Referee #1, 02 Mar 2021
    • AC1: 'Reply on RC1', Shuiqing Yin, 12 Apr 2021
  • RC2: 'Comment on essd-2020-344', Anonymous Referee #2, 02 Mar 2021
    • AC2: 'Reply on RC2', Shuiqing Yin, 12 Apr 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Shuiqing Yin on behalf of the Authors (22 Apr 2021)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (26 Apr 2021) by David Carlson
RR by Anonymous Referee #1 (12 May 2021)
ED: Publish subject to technical corrections (21 May 2021) by David Carlson
AR by Shuiqing Yin on behalf of the Authors (22 May 2021)  Author's response   Manuscript 
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Short summary
A gridded input dataset at a 10 km resolution of a weather generator, CLIGEN, was established for mainland China. Based on this, CLIGEN can generate a series of daily temperature, solar radiation, precipitation data, and rainfall intensity information. In each grid, the input file contains 13 groups of parameters. All parameters were first calculated based on long-term observations and then interpolated by universal kriging. The accuracy of the gridded input dataset has been fully assessed.
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