Data for Internal Variability Increased Arctic Amplification from 1980-2022

This data holds the historical and spliced data required to run the convolutional neural network document in Sweeney et al., 2023 submitted to GRL. Data is stored in two folders (historical and spliced), and individual models are put into each category and separated by ensemble number, time period of trend, variable type (surface air temp or sea level pressure), latitude and longitude.本数据集包含斯威尼（Sweeney）等人2023年投稿至《地球物理研究通讯》（Geophysical Research Letters, GRL）的卷积神经网络（Convolutional Neural Network）论文运行所需的历史数据与拼接数据。数据存储于两个文件夹（分别为historical与spliced），各文件夹下的分类均收纳对应模型，并以集合编号、趋势时段、变量类型（地面气温或海平面气压）以及经纬度作为区分维度。