Articles | Volume 26, issue 7
Hydrol. Earth Syst. Sci., 26, 1779–1799, 2022
https://doi.org/10.5194/hess-26-1779-2022
Hydrol. Earth Syst. Sci., 26, 1779–1799, 2022
https://doi.org/10.5194/hess-26-1779-2022
Research article
07 Apr 2022
Research article | 07 Apr 2022

The value of satellite soil moisture and snow cover data for the transfer of hydrological model parameters to ungauged sites

Rui Tong et al.

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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-2021-189', Anonymous Referee #1, 12 May 2021
  • RC2: 'Comment on hess-2021-189', Luis Samaniego, 02 Jul 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (further review by editor and referees) (10 Aug 2021) by Jim Freer
AR by Rui Tong on behalf of the Authors (21 Oct 2021)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (29 Nov 2021) by Jim Freer
RR by Markus Hrachowitz (17 Dec 2021)
RR by Anonymous Referee #1 (11 Jan 2022)
ED: Publish subject to revisions (further review by editor and referees) (09 Feb 2022) by Jim Freer
AR by Rui Tong on behalf of the Authors (16 Feb 2022)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (16 Mar 2022) by Jim Freer
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Short summary
The role and impact of using additional data (other than runoff) for the prediction of daily hydrographs in ungauged basins are not well understood. In this study, we assessed the model performance in terms of runoff, soil moisture, and snow cover predictions with the existing regionalization approaches. Results show that the best transfer methods are the similarity and the kriging approaches. The performance of the transfer methods differs between lowland and alpine catchments.