Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 16, issue 15
Articles | Volume 16, issue 15
https://doi.org/10.5194/gmd-16-4481-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-16-4481-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 16, issue 15
Model description paper
 | 
08 Aug 2023
Model description paper |  | 08 Aug 2023

DynQual v1.0: a high-resolution global surface water quality model

Edward R. Jones, Marc F. P. Bierkens, Niko Wanders, Edwin H. Sutanudjaja, Ludovicus P. H. van Beek, and Michelle T. H. van Vliet

Supplement

https://doi.org/10.5194/gmd-16-4481-2023-supplement

Data sets

Global monthly hydrology and water quality datasets, derived from the dynamical surface water quality model (DynQual) at 10 km spatial resolution Edward R. Jones, Marc F. P. Bierkens, Niko Wanders, Edwin H. Sutanudjaja, Ludovicus P. H. van Beek, and Michelle T. H. van Vliet, https://doi.org/10.5281/zenodo.7139222

DynQual input example: Rhine basin Edward Jones 0.5281/zenodo.7027242

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Short summary
DynQual is a new high-resolution global water quality model for simulating total dissolved solids, biological oxygen demand and fecal coliform as indicators of salinity, organic pollution and pathogen pollution, respectively. Output data from DynQual can supplement the observational record of water quality data, which is highly fragmented across space and time, and has the potential to inform assessments in a broad range of fields including ecological, human health and water scarcity studies.
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