Input files, data and analysis scripts to "Untangling the annual cycle of the tropical tropopause layer with an idealized moist model"

Published: 21 June 2017| Version 1 | DOI: 10.17632/jvfdrsyhnk.1
Martin Jucker,


Input files for re-producing model runs, zonal mean output data, and analysis scripts related to Jucker and Gerber J. Clim (2017), doi 10.1175/JCLI-D-17-0127.1, Data generated with the Model of an idealized Moist Atmosphere (MiMA),, and in particular version 1.0


Steps to reproduce

To reproduce full model output: - Download MiMA v1.0 at - Follow documentation within repository (docs/) for compiling and running the code - Use the input files given in input_nml.tar to run the simulations - Also download and place into $RUNDIR/INPUT/ folder for simulations - Typically, run 20 years (7200 days) for spinup, then 10 years for production To reproduce figures from model output: - Download all data_* archives and decompress in the same directory - Download and decompress in the same directory - Startup Jupyter notebook within the analysis_scripts/ directory - Note that you will need the following python packages (all available via "pip install <package>"): - netCDF4 - matplotlib - aostools - scipy - statsmodels - xarray - Run the entire notebook, and all figures will be created


New York University Courant Institute of Mathematical Sciences, The University of Melbourne


Climate Dynamics, General Circulation Models