The Impact of Supercomputing on Climate Change ResearchNational Center for Atmospheric Research (NCAR)
- Objective: Utilize HPC to model and predict global climate changes spanning years to centuries.
- Technical Details:
- Model: Community Earth System Model (CESM)
- Supercomputer: “Cheyenne” at NCAR-Wyoming Supercomputing Center
- Data Storage: GLADE system for petabytes of generated data
- Visualization Tools: NCAR Command Language (NCL) & ParaView to interpret complex datasets.
- Application:
- Initialization: Input real-world observational data into CESM.
- Simulation: “Cheyenne” runs the model, concurrently simulating Earth systems.
- Analysis: Results are visualized and patterns in climate variables are interpreted.
- Key Insights:
- Supercomputing at NCAR offers detailed, long-range climate forecasts.
- Predictions show potential shifts in global temperatures, precipitation, and sea levels.
- Accurate policy-making requires high-quality, bias-free initial data.
- “Consider the impact of inaccuracies in initial observational data on climate predictions. How can researchers address potential biases?”