Drivers of uncertainty in future projections of MJO teleconnections: Data for figures

This dataset contains data that can be used to reproduce the figures in<br> Jenney et al., (2021) "Drivers of uncertainty in future projections of MJO teleconnections". Most of the files are Matlab structures as described below I. Output from linear baroclinic model (LBM): Geopotential height at 500 hPa<br> description: LBM output for experiments with control MJO and varied <br> mean states<br> name: "z500_&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;_z500_&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> WAVENO: perturbed wavenumber experiment (decreased wavenumber)<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 VI. Tropical mean temperature profile<br> description: Tropical mean temperature profile (20S to 20N) for individual CMIP6 models<br> name: "tropical_mean_temp.mat"<br> format: Matlab structure "trop_mean_temp"<br> fields &amp; dimensions: described and listed in the structure VII. Propagating forcing<br> description: Propagating MJO-like idealized thermal forcing used to force the LBM. <br> name: <br> "movT_weak.grd": control forcing<br> "movT_weak_&lt;EXPERIMENT&gt;.grd": perturbed MJO cases, naming convention described in II<br> format: binary (.grd file)<br> notes: Use Matlab script "read_forcing.m", also included, to read and plot the files.本数据集包含可复现Jenney等人2021年发表的论文《Drivers of uncertainty in future projections of MJO teleconnections》（《MJO遥相关未来预估中的不确定性驱动因素》）中的所有图表所需的数据。多数文件为如下所述的Matlab结构： I. 线性斜压模式（Linear Baroclinic Model, LBM）输出：500百帕位势高度 描述：针对控制组MJO（Madden-Julian Oscillation，热带大气季节内振荡）与平均态可变的实验所得到的LBM输出 文件名格式："z500_<model_name>.mat" 数据格式：Matlab结构变量"out"，包含以下字段： ThVh：历史干静力能与历史风场 ThVs：历史干静力能与未来风场 TsVh：未来干静力能与历史风场 TsVs：未来干静力能与未来风场 数据维度：[30 × 128 × 64 × 59] = [集合成员数 × 经度格点数 × 纬度格点数 × 模拟天数] II. 针对MJO扰动实验的线性斜压模式（LBM）输出 文件名格式："<EXPERIMENT>_z500_<model>.mat" 实验类型说明： EAST20：向东偏移20度的热力强迫实验 MEDIUM：传播速度提升下限实验 FAST：传播速度提升上限实验 WAVENO：波数扰动实验（波数降低） 数据格式、字段与维度：与I中的文件完全一致 III. 线性化罗斯贝波源（Rossby wave source） 文件名："rws.mat" 数据格式：Matlab结构变量"rws" 字段与维度：详见该结构内部的说明与列表 IV. 定常罗斯贝波数 描述：针对单个CMIP6（Coupled Model Intercomparison Project Phase 6，耦合模式比较计划第六阶段）模式平均态以及多模式平均风场计算得到的K_s 文件名："Ks.mat" 数据格式：Matlab结构变量"Ks_struct" 字段与维度：详见该结构内部的说明与列表 V. 模式全球平均地表温度 描述：单个CMIP6模式在历史时段与未来时段的全球平均地表温度数据 文件名："mmGlobalSfcTemp.nc" 数据格式：NetCDF文件 VI. 热带平均温度廓线 描述：单个CMIP6模式的热带（20°S至20°N）平均温度廓线数据 文件名："tropical_mean_temp.mat" 数据格式：Matlab结构变量"trop_mean_temp" 字段与维度：详见该结构内部的说明与列表 VII. 传播型强迫 描述：用于驱动LBM的类MJO理想传播热力强迫数据 文件名： "movT_weak.grd"：控制组强迫数据 "movT_weak_<EXPERIMENT>.grd"：MJO扰动实验组数据，命名规则详见II部分说明 数据格式：二进制(.grd)文件 备注：可使用随附的Matlab脚本"read_forcing.m"读取并绘制这些文件。