Register for Free HydroSphereAI Webinar

Hydrological forecasting remains a critical challenge for water resource management, especially in northern climates where seasonal snowpack and drought profoundly affect agriculture. This webinar outlines a promising Machine Learning (ML)-driven approach to operational forecasting that advances beyond traditional rainfall-runoff (RR) models.

The Machine Learning Revolution for Hydrological Forecasting

HydroSphereAI is an advanced hydrological forecasting tool that leverages machine learning to predict streamflow with exceptional accuracy. Traditional forecasting methods require considerable historical observation data to produce a relationship between rainfall and streamflow. However, under a changing climate, these historical relationships are becoming less reliable. Addressing the limitations, the cutting-edge HydroSphereAI platform excels in performance, particularly in ungauged watersheds.

By integrating state-of-the-art machine learning techniques, HydroSphereAI represents the next generation of hydrological forecasting. With a foundation in advanced data analytics, HydroSphereAI supports a wide range of capabilities, including real-time data assimilation, adaptive learning algorithms, and predictive analytics.

Key Features and Benefits

  • Advanced Machine Learning Powered Algorithms

    Utilizes Long Short-Term Memory (LSTM) networks, HydroSphereAI has been trained on extensive historical data, to model complex hydrological processes and deliver actionable insights for any stream, river or waterway.

  • High Forecast Skill in Ungauged Basins

    Demonstrates superior forecast accuracy compared to traditional rainfall-runoff models, especially in regions without historical gauge data; the ML-based approach addresses the limitations and uncertainty associated with climate change.

  • Near Real-Time Forecasting On-Demand

    Integrates seamlessly with numerical weather predictions to provide timely and reliable hydrological forecasts from 7- to 39-days in duration. Simulations are run every day, giving you accurate streamflow predictions on-demand.

  • Augmented Training Datasets

    Trained on the HydroAtlas watershed database with a wide range of hydro-environmental attributes, supplemented with custom training data including historical precipitation (ERA5) and streamflow (HYDAT) data.

  • Data Integration

    Aquanty’s web systems are designed to deliver data via API to most environmental data management platforms. Augment your existing data and forecasting infrastructure.

  • Customized For Your Catchment

    Work with Aquanty to re-train the HydroSphereAI algorithm with your site-specific data for unprecedented accuracy.

  • Extreme Event Preparedness

    Provides early warnings to mitigate the impact of floods; manage water resources during drought, ensuring water availability for critical needs.

  • Globally Scalable

    Trained on a comprehensive database with a wide range of watershed attributes, HydroSphereAI is readily deployable in watersheds of all types around the world.

By integrating state-of-the-art machine learning techniques, HydroSphereAI represents the next generation in the evolving field of hydrological forecasting for extreme weather events.

Discover firsthand how our innovative solutions can revolutionize your approach to water resource management. Our experts will guide you through our cutting-edge technology and demonstrate how our services can address your specific needs.

Schedule Your Demo and Start Using HydroSphereAI

  • Understanding AI-Driven Hydrological Forecasting: Explore how machine learning enhances operational hydrological forecasting beyond traditional rainfall-runoff models.

  • Key Predictors & Training Data: Explore the ML models’ core technology, key predictors, and training dataset.

  • Performance in Ungauged Basins: See how ML-driven forecasts outperform traditional models, even in regions lacking streamflow data.

What’s Covered In The Webinar?

  • Real-Time Forecasting & Data Assimilation: Learn how weather forecast data and real-time observations are integrated to improve accuracy.

  • Practical Applications with HydroSphereAI: Watch a demonstration of our forecasting and decision support platform for real-world use cases.

  • Bridging AI Research & Operational Forecasting: Discover how ML-driven hydrological forecasts can be deployed across Canada to support water resource management.