python diagnostic tool for ICON

Pyicon is a python post-processing and visualization toolbox for ICON with a focus on ocean data. The three main features of pyicon are:

• pyicon-core: a number of functions to facilitate the every-day script-based plotting of ICON data
• pyicon-quickplots: a monitoring suite for ICON ocean simulations which combines dedicated diagnostic plots of an ICON simulation on a website
• pyicon-view: an interactive (ncview-like) plotting GUI for Jupyter notebook

Pyicon is developed by the Max Planck Institute for Meterology and the University of Hamburg within the DFG-project TRR181 - Energy Transfers in Atmosphere and Ocean.

Pyicon is hosted here: https://gitlab.dkrz.de/m300602/pyicon/

Contents:

• Installation of pyicon
  • Mistral environment
  • Requirements
  • General installation instructions
• Quickstart
• Mistral specific
  • Start Jupyter session on Mistral
  • Grid files on Mistral
  • Parallel computing with python on Mistral
• pyicon-core
  • Common workflow using pyicon
  • Example for a typical use case
  • Creating an IconData object
  • Loading the data
  • Interpolating the data
  • Doing some calculations
  • Plotting the data
  • Saving data as netcdf
• pyicon-quickplots
  • Running the quickplos
  • Visualizing the quickplots
• pyicon-view

Indices and tables

• Index
• Module Index
• Search Page