Purpose: In this two-part case study you’ll learn to use the EzGCM climate modeling toolkit to run simulations, extract data, and interpret both time-series plots and global maps. You’ll compare a pre-industrial control (IPCC_PI_Control) with a high-emissions future (IPCC_RCP85) to investigate how greenhouse gas forcing affects global climate. By analyzing surface air temperature, snow/ice coverage, and one additional variable of your choice, you’ll practice collecting, analyzing, and explaining model results—looking for trends, anomalies, and geographic patterns—and use those observations to answer reflection questions with evidence. Tips for success: - Get oriented first: click around the EzGCM interface so you know where to run jobs, view outputs, and export data.
- Follow the steps: run simulations in the order given and record exactly what you’re asked to collect.
- Mind labels & units: keep axis labels, map legends, and units visible—your interpretation depends on them.
- Describe what you see: for each graph/map, state the trend, any notable anomalies, and how PI vs. RCP8.5 differ.
- Compare with intent: look for spatial patterns (e.g., land–ocean contrasts, high-latitude changes) and temporal behavior in the time series.
- Use evidence in reflections: cite specific figures, years, regions, and values from your outputs to support your answers.
- Be precise & consistent: name files clearly, keep variables/scenarios straight, and avoid mixing units.
- Troubleshoot smartly: if you’re stuck, re-read the instructions, check EzGCM documentation, or ask questions early.
- Quality-check before submitting: confirm that your single submission includes all required maps, graphs, and complete reflections for Parts 1 and 2.
Submission Instructions: - Submit one single file that includes:
- All graphs, maps, and figures form parts 1 and 2
- Your written responses to all reflection questons
- Organize your work clearly with labeled sections for Part 1 and Part 2.
- Check that all figures and text are visible and legebile.
- Include figure captions for every graph and map. Capitons should briefly describe what the figure shows, the scenario, the variable, and the time period.
- Example: “Figure 1. Global surface air temperature anomaly (RCP8.5) relative to pre-industrial control, averaged over 2080–2100.”
- Format: PDF (export or save your document as a PDF)
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