Articles | Volume 26, issue 20
Hydrol. Earth Syst. Sci., 26, 5391–5410, 2022
https://doi.org/10.5194/hess-26-5391-2022
Hydrol. Earth Syst. Sci., 26, 5391–5410, 2022
https://doi.org/10.5194/hess-26-5391-2022
Research article
27 Oct 2022
Research article | 27 Oct 2022

A geostatistical spatially varying coefficient model for mean annual runoff that incorporates process-based simulations and short records

Thea Roksvåg 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-2021-8', Anonymous Referee #1, 24 Jun 2021
    • AC1: 'Reply on RC1', Thea Roksvåg, 12 Jul 2021
  • RC2: 'Comment on hess-2021-8', Anonymous Referee #2, 24 Jun 2021
    • AC2: 'Reply on RC2', Thea Roksvåg, 12 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) (28 Sep 2021) by Luis Samaniego
AR by Thea Roksvåg on behalf of the Authors (08 Nov 2021)  Author's response    Author's tracked changes    Manuscript
ED: Publish subject to revisions (further review by editor and referees) (15 Nov 2021) by Luis Samaniego
ED: Referee Nomination & Report Request started (22 Nov 2021) by Luis Samaniego
RR by Anonymous Referee #2 (17 Dec 2021)
ED: Publish subject to minor revisions (review by editor) (05 Sep 2022) by Luis Samaniego
AR by Thea Roksvåg on behalf of the Authors (06 Sep 2022)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (26 Sep 2022) by Luis Samaniego
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Short summary
The goal of this work was to make a map of the mean annual runoff for Norway for a 30-year period. We first simulated runoff by using a process-based model that models the relationship between runoff, precipitation, temperature, and land use. Next, we corrected the map based on runoff observations from streams by using a statistical method. We were also able to use data from rivers that only had a few annual observations. We find that the statistical correction improves the runoff estimates.