Project Overview: ClimRR

Sam Foreman

Argonne National Laboratory

In this project we will learn to (+ about):

Systems @ NERSC

1. Getting started + Setup
2. Logging in / accessing systems and resources at NERSC
3. Working with a terminal + (Intro to Unix)
4. Remote login (ssh), password + MFA setup
5. Locating things on the filesystem¹
6. How to clone (download) a Gitub repository and run the (python) code inside of it

Python

1. Python Overview, working with Python, etc
2. Using Jupyter @ NERSC
   • Jupyter: Documentation
   • How to use Jupyter, execute (run) code in cells
   • General benefits (+ tradeoffs!) of working in notebooks
3. Understanding basic control flow / structure of Python script
   • getting Python setup in Jupyter²

Working with Geospatial (GIS) Data

1. Intro to Geospatial Data
2. Identify and understand some common file types and data formats for GIS data
3. Perform exploratory data analysis
   • (+ common Python libraries for working with GIS data)
4. Perform simple visualizations in Python to display different data types (e.g. maps, line charts, interactive visualizations, etc)
   • Using figures to illustrate a point or idea
   • Knowing what types of plots to use to represent different quantities

Climate Risk & Resilience Portal

1. ClimRR
   1. Scope, project goals and ideas
   2. How climate models (and ClimRR specifically) are created / used
      • Definitions / terminology for climate models and ClimRR
      • Understand / compare future projections under the different climate scenarios
   3. Working with the data
      • Build on earlier tools from working with GIS data
      • How to integrate and incorporate external datasets to create new data / visualizations
      • Interpreting and visualizing data to answer questions and draw conclusions

Footnotes

1. Our project directory is at:
   /global/cfs/cdirs/m4388/Project2-ClimRR/

2. Getting Python setup correctly can be surprisingly difficult

Citation

BibTeX citation:

@online{foreman2023,
  author = {Foreman, Sam},
  title = {Energy {Justice} {Analysis} of {Climate} {Data} with
    {ClimRR}},
  date = {2023-08-02},
  url = {https://saforem2.github.io/climate-analysis},
  langid = {en}
}

For attribution, please cite this work as:

Foreman, Sam. 2023. “Energy Justice Analysis of Climate Data with ClimRR.” Intro to HPC Bootcamp @ NERSC: ClimRR. August 2, 2023. https://saforem2.github.io/climate-analysis.