GeoMIP Analysis Using ESGF

GeoMIP Analysis Using ESGF#

Overview#

This section contains two Jupyter notebooks demonstrating examples of working directly with data on the ESGF nodes, downloading data on-the-fly directly in the notebook. These examples utilize the powerful intake-esgf Python package for seamless data access.

Notebook Location#

The notebooks shown in the next two pages are also stored under /shared/Code_examples for easy access.

Available Notebooks#

1. Data Access Example#

search_and_load_from_esgf.ipynb

This notebook demonstrates how to read in data using the intake-esgf package.

What you’ll learn:

  • Searching for GeoMIP data on ESGF nodes

  • Using intake-esgf for data discovery

  • Downloading and loading data directly in notebooks

  • Basic data access workflows

2. Analysis Example#

G6sulfur_from_ESGF_example.ipynb

This notebook shows a practical example of using the intake-esgf workflow to plot and analyze GeoMIP data.

What you’ll learn:

  • Applying the intake-esgf workflow to real analysis

  • Working with G6sulfur GeoMIP simulations

  • Creating visualizations from ESGF data

  • End-to-end analysis workflows

Key Benefits#

Direct Data Access#

  • No pre-downloading required - Access data directly from ESGF nodes

  • Real-time data discovery - Search and find datasets as needed

  • Efficient workflows - Download only what you need, when you need it

Reproducible Research#

  • Standardized access - Consistent data access across different ESGF nodes

  • Version control - Track exactly which data versions you used

  • Portable code - Share notebooks that work anywhere with ESGF access

Additional Resources#