Version 2.0 Now Available

Advanced Hydrologic Modeling at Scale

SWAT Pro delivers 10x faster simulations and comprehensive analytical reports, empowering researchers and practitioners to model complex watersheds with unprecedented precision.

Trusted by Leading Research Institutions

USDA ARS
Texas A&M
Purdue University
UNESCO-IHE
ETH Zürich

Powerful Features for Rigorous Research

Built on the proven SWAT framework with modern optimizations for today's computational demands.

Accelerated Simulations

Parallel processing and optimized algorithms deliver simulation results up to 10x faster than traditional SWAT implementations.

Comprehensive Reports

Generate publication-ready reports with customizable templates, statistical analyses, and interactive visualizations.

Integrated Database

Built-in soil, land use, and climate databases with seamless integration to global datasets including SSURGO and NLCD.

GIS Integration

Native support for QGIS and ArcGIS workflows with automated watershed delineation and HRU definition.

Calibration Suite

Advanced auto-calibration with SUFI-2, GLUE, and PSO algorithms. Sensitivity analysis and uncertainty quantification included.

Climate Scenarios

Pre-configured CMIP6 climate projections and weather generators for future scenario modeling and impact assessment.

Engineered for Performance

SWAT Pro leverages modern computing architectures to dramatically reduce simulation times while maintaining full scientific accuracy and compatibility with existing SWAT workflows.

Multi-threaded Processing

Automatic parallelization across CPU cores for HRU and subbasin computations.

Optimized Memory Management

Efficient data structures reduce memory footprint by up to 60% for large watersheds.

Cloud-Ready Architecture

Deploy on local workstations or scale to cloud infrastructure for ensemble runs.

10x
Faster Simulations
60%
Less Memory
100%
SWAT Compatible
50+
Report Templates

Peer-Reviewed Foundation

SWAT Pro builds on decades of peer-reviewed hydrologic research and continues to support the scientific community.

Journal of Hydrology

Advances in parallel computing for watershed-scale hydrologic modeling

Smith, J., et al. (2024)

Environmental Modelling & Software

Automated calibration frameworks for large-scale SWAT applications

Johnson, M., et al. (2024)

Water Resources Research

Uncertainty quantification in process-based hydrologic models

Williams, R., et al. (2023)

Ready to Accelerate Your Research?

Join hundreds of researchers and institutions using SWAT Pro for faster, more insightful hydrologic modeling.

Free licenses available for academic and non-profit research institutions

Get in Touch

Have questions about SWAT Pro? Interested in a demo or academic license? We'd love to hear from you.

Email

contact@swatpro.org

Location

College Station, Texas, USA