Mechanisms driving MJO teleconnection changes with warming in CMIP6: Data for figures

This dataset contains files that can be used to reproduce the figures in<br> Jenney et al., (2021) " Mechanisms driving MJO teleconnection changes with <br> warming in CMIP6". Most of the files are MATLAB structures as described below I. Output from linear baroclinic model (LBM): meridional wind at 850 hPa<br> description: LBM output for experiments with control MJO and varied <br> mean states<br> name: "v850_&lt;model_name&gt;.mat"<br> format: matlab structure "out" with <br> fields: <br> ThVh (historical dry static energy &amp; historical winds)<br> ThVs (historical dry static energy &amp; future winds)<br> TsVh (future dry static energy &amp; historical winds)<br> TsVs (future dry static energy &amp; future winds)<br> dimensions:<br> [30 x 128 x 64 x 59] = <br> [ensemble member x lon x lat x simulation day] II. Output from linear baroclinic model (LBM) for MJO perturbed experiments<br> name: "&lt;EXPERIMENT&gt;_v850_&lt;model&gt;.mat"<br> experiments: <br> EAST20: 20-degree eastward shifted thermal forcing<br> MEDIUM: lower bound of increased prop. speed experiment<br> FAST: upper bound of increased prop. speed experiment<br> STRONG: 20% stronger thermal forcing<br> format, fields, &amp; dimensions: files with format identical to I III. Linearized Rossby wave source<br> name: "rws.mat"<br> format: matlab structure "rws"<br> fields &amp; dimensions: these are described and listed in the structure IV. Stationary Rossby wave number<br> description: K_s computed for individual CMIP6 model mean states and for<br> the multi-model mean wind<br> name: "Ks.mat"<br> format: matlab structure "Ks_struct"<br> fields &amp; dimensions: described and listed in the structure V. Model global mean surface temperature<br> description: global mean surface temperature for individual CMIP6 models<br> for the historical and future periods<br> name: "mmGlobalSfcTemp.nc"<br> format: netcdf file