HPC4EES High-Performance Computing for Environmental and Earth Sciences

High-Performance Computing for Environmental and Earth Sciences

• Large-scale weather and climate modeling and forecasting, including climate change and extreme events
• HPC-enabled atmospheric modeling, including chemistry, air quality, and air-pollution simulations
• Scalable Earth-system modeling, including ocean, coastal, cryosphere, and coupled atmo- sphere–land–ocean systems
• High-performance geophysical and hazard modeling, including seismology, ground-motion, and disaster prediction
• Scalable hydrology and water-resource modeling, including flood forecasting and risk as- sessment
• Large-scale AI, machine learning, and statistical methods for environmental and Earth science applications
• Digital twins and emerging HPC technologies for environmental sustainability and Earth- system science
• Scalable numerical algorithms, solvers, and uncertainty quantification methods for envi- ronmental and Earth science applications
• Performance portability, workflow design, and energy-efficient computing for large-scale environmental HPC workloads