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  • eScience 2025 course
  • Jupyterhub access
  • Workflow for eScience2025 course
    • Basic setup
    • Basic Rules for the course
    • Sharing data
  • Jupyterhub basic usage
    • Starting and stopping your server
    • The JupyterLab Interface
    • Using different kernels in notebooks
    • JupyterLab settings
  • Data
    • Acessing model data using intake-esm
    • Local shared data
    • ACTRIS data
  • Using version control on Jupyterhub:
    • Starting with git on the jupyterhub
    • Setting up remotes
    • Pull requests and Issues
    • Resolving merge/rebase conflicts
  • General tips
    • Using command terminal
    • Monitoring resources
    • Using debugger
  • Learning Corner
    • Useful links
    • Example Notebooks
      • Python tips & tricks
        • Some tips with xarray and pandas
        • Making a nice table
        • Brief introduction to Dask
        • Making your own modules and some numba tips
        • How to use Markdown in Jupyter notebook
      • Reading files and regridding
        • Interpolate hybrid sigma pressure coordinates to pressure
        • Regridding model data with xESMF
        • Using masks and computing weighted average
        • Mask land
        • Using cartopy and projections for plotting
      • Specific examples
        • Using xarray to read EBAS data
        • Read CMIP-PPE data and emulate with Gaussian Processor
        • ECHAM-SALSA Aerosol Data Introduction
  • Exporting notebooks
  • Contribute to this page
  • Credit
  • Repository
  • Suggest edit
  • Open issue
  • .rst

Specific examples

Specific examples#

  • Using xarray to read EBAS data
  • Read CMIP-PPE data and emulate with Gaussian Processor
  • ECHAM-SALSA Aerosol Data Introduction

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Using cartopy and projections for plotting

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Using xarray to read EBAS data

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