Weather Forecasting

Satellite, radar, and sensor data drive AI models to produce faster, more accurate multi-day and localized weather forecasts.

Business impact

• Forecast accuracy — Enhances precision of weather predictions, reducing errors and false alarms
• Forecasting speed — Accelerates generation of forecasts, enabling timely warnings and responses
• Forecast resolution — Increases spatial and temporal detail for localized and actionable insights
• Early warning speed — Improves lead time for extreme weather alerts, supporting emergency preparedness
• Cost of forecasting — Lowers computational and operational expenses through efficient AI models
• Geographic coverage — Expands forecast availability to underserved and data-sparse regions

Data requirements

• Satellite imagery (Image) — Provides global atmospheric and surface observations for model inputs
• Weather station data (Numeric) — Offers ground-level temperature, humidity, and pressure measurements
• Radar data (Image) — Captures precipitation and storm dynamics for short-term forecasting
• Numerical Weather Prediction outputs (Numeric) — Supplies physics-based atmospheric simulations as baseline inputs
• Historical weather records (Structured) — Enables training and validation of AI forecasting models
• Atmospheric sensor networks (Numeric) — Collects real-time environmental variables for model assimilation

AI methods and techniques

• Predictive AI — Forecasts future weather states by learning temporal and spatial patterns
• Generative AI — Simulates high-resolution weather scenarios and downscales coarse data
• Symbolic AI — Incorporates physical laws and domain knowledge to constrain predictions

AI models and model families

Google DeepMind GraphCast, Microsoft Aurora, NVIDIA Earth-2 (Atlas, StormScope, HealDA), Quantum Reservoir Computing, Aardvark Weather, QConvLSTM

Industries

Real-world evidence

22 documented case studies on record.

Companies using this: AXA, Brightband, Carrier, Eni, G42, GCL, Google, Hartek Group, Israel Meteorological Service, Microsoft, NOAA, NVIDIA, Penn State University, S & P Global Energy, Southwest Power Pool and 7 more.