Articles | Volume 25, issue 9
https://doi.org/10.5194/hess-25-5259-2021
https://doi.org/10.5194/hess-25-5259-2021
Research article
 | 
28 Sep 2021
Research article |  | 28 Sep 2021

Bridging the scale gap: obtaining high-resolution stochastic simulations of gridded daily precipitation in a future climate

Qifen Yuan, Thordis L. Thorarinsdottir, Stein Beldring, Wai Kwok Wong, and Chong-Yu Xu

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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-2020-673', Anonymous Referee #1, 30 Mar 2021
    • AC1: 'Reply on RC1', Qifen Yuan, 15 Jun 2021
  • RC2: 'Comment on hess-2020-673', Anonymous Referee #2, 03 Aug 2021
    • AC2: 'Reply on RC2', Qifen Yuan, 06 Aug 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to minor revisions (further review by editor) (17 Aug 2021) by Thomas Kjeldsen
AR by Qifen Yuan on behalf of the Authors (27 Aug 2021)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (02 Sep 2021) by Thomas Kjeldsen
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Short summary
Localized impacts of changing precipitation patterns on surface hydrology are often assessed at a high spatial resolution. Here we introduce a stochastic method that efficiently generates gridded daily precipitation in a future climate. The method works out a stochastic model that can describe a high-resolution data product in a reference period and form a realistic precipitation generator under a projected future climate. A case study of nine catchments in Norway shows that it works well.