Changing the way hydropower is operated with accurate flow and quality forecasts, anywhere on earth.
Why HydroForecast™?
Maximize your operational efficiency and minimize risk. HydroForecast™ leverages advancements in satellite imagery and machine learning-based hydrologic modeling to provide high-accuracy forecasts, even where there are no existing gauges.
- Minimal implementation period
- Highly accurate forecasts
- Forecasts anywhere, even where there are no gauges
- Automated delivery with a range of preset and customizable forecast horizons
- Industry-leading cyber security standards
Our Approach
By incorporating a range of data sources from satellites and ground sensors, our machine learning models rapidly calculate short- and long-term streamflow with unprecedented accuracy. Our goal is to provide better data for decision-making to protect your assets, enhance operational efficiency, and improve your bottom line.
How does this work?
- We synthesize data from a range of sources, including weather and landscape conditions from satellites, meteorological models, and on-the-ground sensors.
- We train our neural networks to forecast streamflow in any basin based on these data inputs.
- Our expert team evaluates the models to ensure maximum accuracy and uses additional ground data for localized calibration if available.
- The model produces accurate predictions for streamflow along with a probability distribution to inform operational decision-making and minimize risk.
Short-term Forecasts
Our 10-day forecast is provided as hourly predictions for first 3 days, and daily predictions for the following 7 days. Because basin and meteorological conditions are constantly re-evaluated as remote data becomes available, predictions are recomputed multiple times daily.
Seasonal Forecasts
Our seasonal forecast is provided as a total seasonal streamflow, as well as a percentage of long-term historical average. We add data to our models specific to long-term flows, including snow-specific inputs from stations and satellites. Updated reports are sent weekly, with a commentary from our team as to why changes to the forecast occurred, if at all.