Weather And Climate Modeling

Use AI and HPC to enhance weather and climate simulations for better forecasts and decisions

Business impact

• Forecast accuracy — Enhances precision of weather and climate predictions reducing uncertainty
• Operational efficiency — Speeds up simulations and reduces computational resource usage
• Cost reduction — Lowers expenses by optimizing HPC and cloud resource utilization
• Decision-making quality — Supports better policy and emergency response through reliable data
• Response time — Enables faster alerts and adaptation to extreme weather events
• Model accuracy — Improves climate impact assessments with advanced AI and quantum methods
• Environmental impact — Facilitates sustainable interventions by understanding climate dynamics better

Data requirements

• Satellite sensor data (Image) — Provides multi-spectral Earth observations for environmental monitoring
• Weather station measurements (Numeric) — Delivers ground truth data for model calibration and validation
• Oceanic and atmospheric sensors (Numeric) — Captures dynamic environmental variables critical for climate modeling
• Historical climate records (Structured) — Enables training and benchmarking of predictive models
• Supercomputer simulation outputs (Numeric) — Generates high-resolution ensemble forecasts for uncertainty quantification
• Geospatial datasets (Image) — Supports spatial analysis and land cover classification in models
• Wind farm operational data (Numeric) — Improves renewable energy forecast models through real-world inputs

AI methods and techniques

• Predictive AI — Forecasts weather and climate variables using historical and real-time data
• Generative AI — Creates high-resolution climate simulations and digital twins from multi-modal inputs
• Symbolic AI — Incorporates physical laws and domain knowledge into hybrid climate models
• Agentic AI — Automates adaptive model tuning and scenario exploration for decision support

AI models and model families

GPT-4, Claude, Llama, ORBIT AI foundation model, TerraMind, Earth-2 diffusion models

Industries

Real-world evidence

9 documented case studies on record.

Companies using this: Allen Institute Artificial Intelligence, EPFL Wind Engineering Renewable Energy Laboratory Wi RE, Education University Hong Kong, IBM, Massachusetts Institute Technology MIT, National Center Atmospheric Research NCAR, Oak Ridge National Laboratory, Taiwan Central Weather Administration, The Weather Company.