The Machine Learning Revolution for Hydrological Forecasting
An advanced artificial-intelligence driven computing system that effortlessly integrates near-real-time field observations and remote sensing products with the latest meteorological predictions to produce dependable hydrological forecasts.
HydroSphereAI
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
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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.
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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.
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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.
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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.
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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.
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Customized For Your Catchment
Work with Aquanty to re-train the HydroSphereAI algorithm with your site-specific data for unprecedented accuracy.
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Extreme Event Preparedness
Provides early warnings to mitigate the impact of floods; manage water resources during drought, ensuring water availability for critical needs.
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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 weather extreme events.
How HydroSphereAI Works
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Machine-Learning Algorithms
HydroSphereAI uses Long Short-Term Memory (LSTM) networks, trained on extensive historical steamflow data, and attributes from >1400 sub-basins.
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Re-train For Your Catchment
Re-train the HydroSphereAI algorithm with localized historical streamflow and watershed attributes to improve accuracy in your area of interest.
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Weather Forecast Integration
HydroSphereAI is driven by a mix of global and regional weather prediction models; this ensemble approach produces a probabilistic distribution of streamflow data.
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Accurate Streamflow Predictions
Delivers accurate streamflow forecasts, even in ungauged watersheds, by leveraging large-scale training datasets suitable for rivers around the world.
Schedule Your Demo and Start Using HydroSphereAI
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.