Articles | Volume 19, issue 1
https://doi.org/10.5194/gmd-19-477-2026
https://doi.org/10.5194/gmd-19-477-2026
Development and technical paper
 | 
15 Jan 2026
Development and technical paper |  | 15 Jan 2026

HydroBlocks-MSSUBv0.1: a multiscale approach for simulating lateral subsurface flow dynamics in Land Surface Models

Daniel Guyumus, Laura Torres-Rojas, Luiz Bacelar, Chengcheng Xu, and Nathaniel Chaney

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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 egusphere-2025-563', Anonymous Referee #1, 13 Apr 2025
    • AC1: 'Reply on RC1', Daniel Guyumus, 19 Jul 2025
  • RC2: 'Comment on egusphere-2025-563', Anonymous Referee #2, 22 Apr 2025
    • AC2: 'Reply on RC2', Daniel Guyumus, 19 Jul 2025
  • RC3: 'Comment on egusphere-2025-563', Anonymous Referee #3, 06 May 2025
    • AC3: 'Reply on RC3', Daniel Guyumus, 19 Jul 2025

Peer review completion

AR – Author's response | RR – Referee report | ED – Editor decision | EF – Editorial file upload
AR by Daniel Guyumus on behalf of the Authors (19 Jul 2025)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (22 Jul 2025) by Ting Sun
RR by Anonymous Referee #3 (24 Jul 2025)
RR by Anonymous Referee #2 (08 Sep 2025)
ED: Publish subject to minor revisions (review by editor) (07 Oct 2025) by Ting Sun
AR by Daniel Guyumus on behalf of the Authors (13 Nov 2025)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (13 Nov 2025) by Ting Sun
AR by Daniel Guyumus on behalf of the Authors (18 Dec 2025)  Manuscript 
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Short summary
This study explores a new tiling scheme within the HydroBlocks Land Surface Model to represent local, regional and intermediate subsurface flow. Using high-resolution environmental data, the scheme defines parameterized flow units, enabling water and energy flux simulations. Compared against a benchmark simulation, the multiscale scheme demonstrates strong agreement in spatial mean, standard deviation, and temporal variability, showcasing its potential for large-scale hydrological simulation.
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