ECHAM6 T63L95 model data with Eurasian snow anomaly

ECHAM6 atmospheric model data for experiments with an artificial snow anomaly added over Eurasia. ECHAM6 resolution was T63L95. Variables include: temperature, u winds, geopotential height, snow fraction. Atmospheric data is on 24 levels from 1000hPa to 1hPa. Monthly time-means Python notebooks are included to replicate all figures from Tyrrell, N. L., A. Y. Karpechko, and P. Räisänen, 2018: The influence of Eurasian snow extent on the northern extratropical stratosphere in a QBO resolving model. J. Geophys. Res., 123, 315–328 Tyrrelletal2018_clim.tar.gz contains the control runs. Tyrrelletal2018_snow.tar.gz contains the snow anomaly runs. Both tar files contain the python notebooks

本数据集为针对欧亚大陆上空添加人工积雪异常试验的ECHAM6大气模式数据。该模式的分辨率为T63L95，所包含的变量包括气温、u风场、位势高度与积雪覆盖率。大气数据涵盖从1000百帕至1百帕的24个垂直层。附带可复现下述2018年论文全部配图的逐月时间平均值Python脚本：Tyrrell, N. L., A. Y. Karpechko 与 P. Räisänen, 2018: 《准两年振荡（Quasi-Biennial Oscillation, QBO）解析模式中欧亚大陆积雪范围对北半球中高纬平流层的影响》，J. Geophys. Res., 123, 315–328。其中，Tyrrelletal2018_clim.tar.gz 包含对照试验数据集，Tyrrelletal2018_snow.tar.gz 包含积雪异常试验数据集，两个tar.gz格式压缩包均附带前述Python脚本。