Cibolo and Dry Comal Creek Texas, USA, SWAT Model Dataset

Resource type: SWAT Model Instance Resource
Storage: The size of this resource is 580.1 MB
Created: Oct 27, 2018 at 1:56 p.m.
Last updated: Oct 27, 2018 at 2:55 p.m.
DOI: 10.4211/hs.fbc1b5a9a00c4f6da7b4507321289d3f
Citation: See how to cite this resource
Sharing Status: Published
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This is the Soil & Water Assessment Tool (SWAT) model dataset for the Cibolo and Dry Comal Creek basins in the San Antonio, TX region. This SWAT model simulates streamflow and nitrate transport in two karstic watersheds for calendar years 1996-2010. The results of this model were published in Sullivan, T.P., Gao, Y., 2016. Assessment of nitrogen inputs and yields in the Cibolo and Dry Comal Creek watersheds using the SWAT model, Texas, USA 1996–2010. Environ Earth Sci, 75(9): 1-20. DOI:10.1007/s12665-016-5546-0. The model output was also utilized in the manuscript, "Nitrate Transport in a Karst Aquifer: Numerical Model Development and Source Evaluation" submitted for publication with Water Resources Research.

Subject Keywords

Resource Level Coverage


Start Date:
End Date:


Resource Specific

Model Output
Includes output files? No

Executed By
Name Unspecified

Model Objective
SWAT model objectives Water quality, Nitrate transport

Model Input
Warm-up period in years 2
Rainfall time step type Daily
Routing time step type Daily
Simulation time step type Monthly
Watershed area in square kilometers 1146
Number of subbasins 118
Number of HRUs 4571
DEM resolution in meters 10
DEM source name National Elevation Dataset
DEM source URL
LandUse data source name Enhanced National Land Cover Dataset
LandUse data source URL
Soil data source name Soil SURvey GeOgraphic (SSURGO)
Soil data source URL

How to Cite

Sullivan, T., Y. Gao (2018). Cibolo and Dry Comal Creek Texas, USA, SWAT Model Dataset, HydroShare,

This resource is shared under the Creative Commons Attribution CC BY.


Tim Sullivan 3 years, 2 months ago

Model should be run with included swat_64rel.exe. Septic module failed to execute in prior instances of SWAT.

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