Hosted Research & Decision-Support Tools
Specialized computational tools for machine learning-based streamflow predictions, irrigation planning, evapotranspiration analysis, and crop simulation — built for Alberta workflows and powered by real Environment Canada weather data.
Note: while we strive for accuracy and reliability, these tools are under development and should be used with professional judgement and independent verification where appropriate. Contact us with comments or questions, or if interested in collaboration.
AqualET - ET & Irrigation Decision Tool
A web-based evapotranspiration (ET) analysis and irrigation guidance tool designed for Alberta, BC, Saskatchewan, and Manitoba agricultural workflows. AqualET calculates crop water demand using multiple ET methods, including AquaCrop-based crop simulation, and provides forecast-based irrigation recommendations powered by real-time weather data.
ET Calculators: Priestley-Taylor, Penman-Monteith, Hargreaves-Samani, and Maule methods
AquaCrop crop simulation with single-year, historical range, and forecast input modes, featuring weekly result summaries and charts
Forecast-based irrigation recommendations and ET flux (W/m²) output using real-time weather data
Historical yield and ET prediction using AquaCrop across custom date ranges or multi-year periods
Oldman Dam Streamflow Forecasting
A web-based daily streamflow forecasting and visualization platform designed for the Oldman Dam in Alberta, Canada. The system integrates machine learning models with real-time hydrometeorological data to provide reliable 1–5 day ahead streamflow forecasts for reservoir management and water resources planning.
Real-time streamflow, weather, and inflow data integration from Environment Canada and Alberta Rivers sources
Machine learning forecasting using SVR, ANN, XGBoost, and LSTM models
Interactive forecast visualization, historical prediction analysis, and automated missing-data handling