The Soil & Water Assessment Tool is a small watershed to river basin-scale model used to simulate the quality and quantity of surface and ground water and predict the environmental impact of land use, land management practices, and climate change. SWAT is widely used in assessing soil erosion prevention and control, non-point source pollution control and regional management in watersheds.

SWAT+

Introducing SWAT+, a completely revised version of the SWAT model. SWAT+ provides a more flexible spatial representation of interactions and processes within a watershed.

Download SWAT+
Updated 30 August 2023

July 2024 - Strasbourg, France

An International SWAT Conference & Workshops will be held 8-12 July 2024 at the National School of Water and Environment Engineering, Strasbourg University, France. Register today.

September 2024 - Lima, Peru

An International SWAT Conference & Workshops will be held 9-13 September 2024 at the Pontificia Universidad Católica del Perú NOS Conference Center in Lima, Peru. Join us for a field trip to Cusco and Machu Picchu following the conference, 14-17 September. Submit an abstract and register today.

Software & Data Tools

SWAT+

SWAT+ rev. 60.5.7, QSWAT+ 2.4, SWAT+ Editor 2.3.1, SWAT+ Toolbox 1.0.5

13 July 2023
QSWAT3

QGIS3 Interface to SWAT / Version 1.7

14 May 2024
SWAT2012 Model

Executables and source code / rev. 692

14 Nov 2023
ArcSWAT

ArcGIS Interface to SWAT / Version 2012.10.25

3 Jan 2023
SWAT-MODFLOW

Version 3

9 Jul 2019
Global Weather Data for SWAT

Climate Forecast System Reanalysis (CFSR) data from 1979-2014

SWAT-CUP

Calibration/uncertainty or sensitivity

WGN Parameters Estimation Tool

Using Microsoft Access / Version 0.18.03

17 Apr 2018
WET - Water Ecosystems Tool

Advanced lake and reservoir modeling coupled to SWAT

Job Opportunities

Looking for job opportunities related to SWAT and/or watershed modeling? Check out our listing.

Reviewers Needed

We are looking for help reviewing SWAT peer-reviewed journal papers from the community. Sign up as a volunteer.