CMIP6 Equatorial-Wave Diagnostics in Python v1.0.0

CMIP6 Equatorial-Wave Diagnostics in Python

First public release of the CMIP6 Equatorial-Wave Diagnostics Python workflow.

This software provides a reproducible workflow for evaluating tropical
equatorial-wave variability in CMIP6 climate models using daily precipitation
data.

The workflow includes:

• Wheeler-Kiladis wavenumber-frequency precipitation spectra;
• eastward- and westward-propagating spectral diagnostics;
• equatorial Kelvin-wave filtering;
• equatorial Rossby-wave filtering;
• seasonal precipitation-variance diagnostics;
• pattern-correlation and amplitude-based skill scores;
• individual model diagnostic figures;
• multi-model comparison panels; and
• scripts for processing CMIP6 precipitation data on HPC systems such as
  NCI Gadi.

The diagnostics are designed to quantify the representation of tropical
space-time spectral variability and equatorial Kelvin and Rossby waves in
climate models.

Version 1.0.0 provides the first archived release of the Python implementation.