Preprints
https://doi.org/10.5194/gmd-2022-182
https://doi.org/10.5194/gmd-2022-182
Submitted as: model description paper
02 Aug 2022
Submitted as: model description paper | 02 Aug 2022
Status: this preprint is currently under review for the journal GMD.

Wflow_sbm v0.6.1, a spatially distributed hydrologic model: from global data to local applications

Willem J. van Verseveld1, Albrecht H. Weerts1,2, Martijn Visser1, Joost Buitink1, Ruben O. Imhoff1,2, Hélène Boisgontier1, Laurène Bouaziz1, Dirk Eilander1,3, Mark Hegnauer1, Corine ten Velden1, and Bobby Russell1 Willem J. van Verseveld et al.
  • 1Department of Inland Water Systems, Deltares, P.O. Box 177, 2600MH Delft, The Netherlands
  • 2Hydrology and Quantitative Water Management Group, Department of Environmental Sciences, Wageningen University & Research, P.O. BOX 47, 6700 AA Wageningen, The Netherlands
  • 3Institute for Environmental Studies (IVM), Vrije Universiteit Amsterdam, Amsterdam, the Netherlands

Abstract. The wflow_sbm hydrologic model, recently released by Deltares, as part of the Wflow.jl (v0.6.1) modelling framework is being used to better understand and potentially address multiple operational and water resources planning challenges from catchment scale, national scale to continental and global scale. Wflow.jl is a free and open-source distributed hydrologic modelling framework written in the Julia programming language. The development of wflow_sbm, the model structure, equations and functionalitities are described in detail, including example applications of wflow_sbm. The wflow_sbm model aims to strike a balance between low-resolution, low-complexity and high-resolution, high-complexity hydrologic models. Most wflow_sbm parameters are based on physical characteristics or processes and at the same time wflow_sbm has a runtime performance well suited for large-scale high-resolution model applications. Wflow_sbm models can be set a priori for any catchment with the Python tool HydroMT-Wflow based on globally available datasets and through the use of point-scale (pedo)transfer functions and suitable upscaling rules and generally results in a satisfactory (0.4 ≥ Kling-Gupta Efficiency (KGE) < 0.7) to good (KGE ≥ 0.7) performance a-priori (without further tuning). Wflow_sbm includes relevant hydrologic processes as glacier and snow processes, evapotranspiration processes, unsaturated zone dynamics, (shallow) groundwater and surface flow routing including lakes and reservoirs. Further planned developments include improvements on the computational efficiency and flexibility of the routing scheme, implementation of a water demand and allocation module for water resources modelling, the addition of a deep groundwater concept and distributed computing with a focus on multi-node parallelism.

Willem J. van Verseveld et al.

Status: open (until 22 Dec 2022)

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Willem J. van Verseveld et al.

Willem J. van Verseveld et al.

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Short summary
We present the wflow_sbm distributed hydrologic 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 run-time 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.