Software Downloads


Upcoming Workshops

Additional learning resources:

Call for Papers

Three special issue journals are planned for this year. Please submit your tentative paper title and journal of interest online.

Reviewers Needed!

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


SWAT training course, December 1-3, 2016, Dakar, Senegal

December 5, 2016

From 1st to 3rd December 2016, a SWAT training course on “Initiation on SWAT model” has been delivered for 38 researchers, students and engineers at the UCAD-IRD Centre of Dakar-Hann (Dakar, Senegal) by José-Miguel Snchez-Pérez (CNRS, France) and Sabine Sauvage (CNRS, France) with the support of Didier Orange (IRD, France) and Amine Zettam (Université of Tlemcen, Algeria). Continue reading...

SWAT training course, December 1-3, 2016, Dakar, Senegal

Contact Allan Jones to contribute to SWAT's Up.

2016 Beijing, China

Beijing group photo

Beijing Normal University hosted the 2016 International SWAT Conference and Workshops July 25-29, 2016. Visit the conference website to view presentations.

2016 AGU Fall Meeting

Held December 12-16 in San FranciscoAGU’s Fall Meeting is the largest Earth and space science meeting in the world. Please submit your abstracts to our Large-scale Watershed Modeling and Data Uncertainty on Hydrologic and Water Quality Processes session. Contact Haw Yen for more information.

The Soil and Water Assessment Tool (SWAT) is a public domain model jointly developed by USDA Agricultural Research Service (USDA-ARS) and Texas A&M AgriLife Research, part of The Texas A&M University System. SWAT is a small watershed to river basin-scale model 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. Read our fact sheet and disclaimer.

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