Articles | Volume 17, issue 8
Model description paper
25 Apr 2024
Model description paper |  | 25 Apr 2024

Wflow_sbm v0.7.3, a spatially distributed hydrological model: from global data to local applications

Willem J. van Verseveld, Albrecht H. Weerts, Martijn Visser, Joost Buitink, Ruben O. Imhoff, Hélène Boisgontier, Laurène Bouaziz, Dirk Eilander, Mark Hegnauer, Corine ten Velden, and Bobby Russell


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on gmd-2022-182', Anonymous Referee #1, 04 Oct 2022
  • RC2: 'Comment on gmd-2022-182', Anonymous Referee #2, 24 Jul 2023

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Willem van Verseveld on behalf of the Authors (08 Feb 2024)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (20 Feb 2024) by Mauro Cacace
AR by Willem van Verseveld on behalf of the Authors (26 Feb 2024)

Post-review adjustments

AA: Author's adjustment | EA: Editor approval
AA by Willem van Verseveld on behalf of the Authors (11 Apr 2024)   Author's adjustment   Manuscript
EA: Adjustments approved (16 Apr 2024) by Mauro Cacace
Short summary
We present the wflow_sbm distributed hydrological model, recently released by Deltares, as part of the Wflow.jl open-source modelling framework in the programming language Julia. Wflow_sbm has a fast runtime, making it suitable for large-scale modelling. Wflow_sbm models can be set a priori for any catchment with the Python tool HydroMT-Wflow based on globally available datasets, which results in satisfactory to good performance (without much tuning). We show this for a number of specific cases.