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A South African National Input Database To Run The Swat Model In A GIS - Soil Map

This dataset provided multiple national-scale geospatial input layers intended to serve as baseline inputs for setting up and running SWAT via ArcSWAT or QSWAT/SWAT+ in South Africa. It included SWAT catchment outline data (tertiary and quaternary), national land cover maps (2014, 2018 and 2020) at 20–30 m resolution that were linked to SWAT land cover codes, a national soil map with SWAT attribute data derived from pedotransfer functions applied to the Land Type Database of South Africa (usable at 1:250,000), and weather generator (WGN) statistics files for 12 stations compiled from Agricultural Research Council sources. The baseline data supported hydrological modellers by reducing setup time and improving consistency across SWAT applications in South Africa, while the publication evaluated performance by applying the baseline datasets in four previously simulated catchments

Data and Resources

Additional Info

Field	Value
Email	vanderLaanM@arc.agric.za
Authors	Author 1 Author first name Jay Author surname le Roux Email Lerouxjj@ufs.ac.za Author organization University of the Free State Department Department of Geography Is this author a contact person for the dataset? True
Contact person	Contact 1 Contact name Jay Email Lerouxjj@ufs.ac.za Contact organization University of the Free State Department Department of Geography
Recommended citation	LE ROUX JJ, MARARAKANYE N, VAN DER LAAN M, MUDALY L, WEEPENER HL and VAN TOL JJ (2025) South African soil, land cover and weather generator file databases for SWAT applications. Journal of Hydrology: Regional Studies 59 102387. https://doi.org/10.1016/j.ejrh.2025.102387.
Did the author / contact organization collect the data?	false
Name of organization that collected the data	University of the Free State
Dataset language	English
Publisher	Water Research Commission / Journal of Hydrology: Regional Studies
Publication date	2025-01-31
Project number	C2019-2020-00089
License	Open (Creative commons)
License URL	https://creativecommons.org/licenses/by-sa/4.0/
Keywords	QSWAT, ArcSWAT, Input datasets, Big data, Data evaluation, South Africa
Geographic location or bounding box coordinates
Topic category	Hydrological data and modelling
Data structure category	Semi-structured (does not fully conform to the tabular format of structured data, but may contain tags or markers identifying properties to arrange it into an organisational framework)
Uploader estimation of extent to which data have been processed	Access
Is the data time series or static	Static
Data reference date	Data reference date 1 Data reference date (from) Data reference date (to)
Alternate identifier	DOI: 10.17632/5nzr53w6jp.2
Vertical extent datum	masl
Vertical minimum-maximum extent	Vertical minimum-maximum extent 1 Minimum vertical extent 0 Maximum vertical extent 3451
I agree to the data management plan and terms and conditions of the WRO	true