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Climate Module

Reproducibility Check

Team Members

🦸 🦹

🎓 Learning Objectives

:octocat: Use of GitHub
🐍 Use of Jupyter Notebooks
🔡 Accessing tabular data
📈 Data visualization
🌡️Become familiar with data on global climate change

📖 Content Overview

💻 Assignment template
💯 Assignment rubric

Individuals or teams will work through and adapt the questions presented in the climate notebook to reproduce key indicators of climate change, similar to NASA's https://climate.nasa.gov/vital-signs. Our primary objective is to reproduce the famous 'hockey-stick' curve first reported in Nature (Mann et al 1998) using the most recent observations and most extensive ice core data. Along the way we will encounter many other datasets and learn about wrangling the diverse conventions in tabular data.

  • Use the github-login.ipynb notebook in JupyterLab to authenticate each session with GitHub. This provides a short-lived and appropriately scoped token for secure access using gh-scoped-creds.
  • We use GitHub Actions to run automated reproducibility checks, click the badge up top for details.

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