Managing water has never been an easy task; learn how HydroForecast's novel approach to hydrologic modeling can help provide reliable and accurate flow forecasts even under today's more variable and extreme events.
HydroForecast swept a yearlong short-term flow forecasting competition hosted by the United States Bureau of Reclamation, CEATI, and hydropower utilities; verified by RTI International.
In every competition region, HydroForecast was more accurate further into the future and provided better insight in both drought conditions and 1,000-year storms.
HydroForecast can construct a 20-year daily continuous streamflow record at any location in the world, partially gauged, or completely ungauged, and in both natural and altered watersheds.
Increase the density of a streamflow monitoring network by adding points where having up to date weather, snow and streamflow data is important for real-time decisions.
Hourly 10-day ahead forecast for operational decision making – the most accurate in the U.S.
Daily updating, 90-day ahead forecasts for proactive water and risk management.
Need streamflow and volume information out to one-year ahead? This horizon extends the 90-day seasonal to cover the full 12 months ahead.
The deep future is uncertain and yet critical for long term planning. We use global emission scenarios and climate projections to create streamflow scenarios out to 2100.
Minimize spill and optimize reservoir operations with forecasts directly at your fleet’s assets.
Improve day-ahead and real-time market bidding decisions with hourly data on incoming flows.
Quantify the magnitude and timing of large events like floods earlier and more accurately; confidently identify low-flow periods for maintenance.
Monitor for risk of extreme flows further in advance and deploy virtual gauges to backstop in-situ sensors that can fail.
Understand the seasonal water supply outlook for a basin to plan for allocation decisions.
Inform environmental flow policy decisions and restoration efforts by evaluating human impairments on flows.
HydroForecast learns to represent hydrologic processes by identifying relationships between satellite observations, basin characteristics, meteorological forecasts, and streamflow measurements.
Our approach is distinct from purely data-driven machine learning models in that we use physical science to guide and constrain the relationships between inputs and streamflow predictions. We believe that the best model is one grounded in scientific principles and enhanced by finding deep connections in the relationships between data.
Deploy at a specific point of interest, anywhere on Earth, even if there is not a physical gauge nearby.
Engineered with industry-leading cybersecurity practices to ensure that sensitive data remains private and secure.
Deployed in under 90 days and seamlessly integrated with existing solutions such as Delft-FEWS, HEC-RAS, RiverWare, PLEXOS, and Excel-based workflows.
Incorporates dynamic land surface and climatological inputs that reflect our changing world and ensure reliable performance in extreme conditions.
Provides the full distribution of outcome probabilities so users can anticipate periods of uncertainty and manage risk
