Welcome to the Python resources for chemistry modeling¶

A collection of Python examples¶

Here, you will find a growing collection of Python code for atmospheric chemistry applications. These examples have been created primarily in jupyter notebooks. You will mainly find applications to atmospheric chemistry modeling with CAM-chem, but there are also applications for MUSICA modeling, as well as observations from satellites, aircraft and ground-based instruments.

curtains Altitude slices of concentrations, versus time or space	emissions Aggregate emissions and plot in various ways	functions Advanced python scripts and processing
i/o and processing Some tips and tricks for reading, writing and processing data	maps Plot model output on maps	profiles Altitude versus concentration plots
scatter plots Plots of one variable plotted against a second variable	timeseries Temporal analysis of model output - time versus concentration plots	widget Simplified navigator to quickly look through various slices

Helpful resources:

Log into NCAR JupyterHub

Alternate: start jupyter notebook on glade via command line

Learning resources

matplotlib colormaps

date formats

cartopy projections

Other Python Examples:

GeoCAT: conversion of NCL scripts

NOAA MONET toolkit for model versus measurements

NASA python examples for satellite data

Dan Marsh’s examples for WACCM (requires a Google login).

How to contribute your code