Delta-Models for Reservoir Operations – NORTH SASKATCHEWAN RIVER AT WHIRLPOOL POINT (05DA009)
The Bighorn dam is located in the foothills of the Canadian Rockies in Alberta and is one of TransAlta's major hydroelectric facilities, with a capacity of 120 MW and an average annual generation of approximately 408,000 MWh (Bighorn - TransAlta). Reservoir planning is important for hydropower operations because operators must balance water availability, storage constraints, generation demand, flood risk, and downstream flow requirements. In snowmelt dominated basins (like this one), reservoir inflow relies on both current streamflow and upstream watershed conditions which determine future water volumes over coming days, weeks, and months. These conditions include the amount of water stored as snowpack, the timing/rate of snowmelt, antecedent soil wetness, incoming precipitation, and changes in temperature.
HydroClimateSight Feature Highlight: Real-Time Soil Moisture Forecasting on Demand
At Aquanty, we're redefining how soil moisture forecasting is done in precision agriculture. Our latest innovation brings together real-time weather data, advanced hydrologic modelling, and cloud automation to deliver accurate, hyper-local soil moisture forecasts, on demand, at the click of a button. Built for farmers, consultants, researchers, and planners, this tool provides the insights needed to optimize irrigation, support crop health, and plan field operations with confidence.
HydroClimateSight Feature Highlight: Unlock Powerful Insights with HydroClimateSight’s Remote Sensing Map Layers
Modern water and land resource management relies on timely, reliable, and spatially detailed data. Aquanty’s HydroClimateSight platform empowers decision-makers by integrating a diverse set of authoritative datasets into a range of physics-based and machine-learning based hydrologic models. HydroClimateSight provides direct access to many of these datasets through the Remote Sending tab to help users better understand the datasets that go into these models. Let’s review some of the available data layers that give HCS users visual and analytical insights sourced from globally recognized organizations, government agencies, and open-data initiatives.
HydroClimateSight Feature Highlight: Understanding Ensemble vs Deterministic Forecasting in HydroSphereAI
We’re excited to announce that short-range streamflow forecasting is now available in HydroSphereAI! Our new short-range forecasts offer detailed predictions for the day ahead with hourly output intervals. To address the lack of uncertainty information typical of deterministic systems, we’ve introduced a lagged ensemble approach, giving you a clearer picture of forecast confidence in the near term.
HydroSphereAI: Next-Generation Hydrological Forecasting & AI-Driven Insights for a Changing Climate
We’re excited to share the recording of our recent webinar, HydroSphereAI: Machine Learning-Driven Insights and Hydrological Forecasting in a Changing Climate.
This session offers a deep dive into how cutting-edge machine learning approaches are transforming streamflow prediction and hydrological forecasting across Canada.