five

Replication data for Zhang et al. 2022 Arctic ARs

收藏
DataCite Commons2025-06-01 更新2024-07-29 收录
下载链接:
https://figshare.com/articles/dataset/Replication_data_for_Zhang_et_al_2022_Arctic_AR/21405051/2
下载链接
链接失效反馈
官方服务:
资源简介:
Dec.26 2022 updates: update the script for Fig.5e with a file name 'plot_5ev2.ncl'. There is no change in the result data. We just slightly change the way to present the vertical bars in FIg.5e for the final artwork. See details in the article. ----------------- The package file contains the data and NCL scripts used to produce the original figures of Fig.1-6 in Zhang et al. 2022 Arctic AR. Data files are in NetCDF format. The script files are supposed to be conducted using the analysis tool NCL (https://www.ncl.ucar.edu/) on a Linux cluster/environment or Mac terminal platform. Download the zip file and unpackage it (unzip data.zip). Note that 400mb space is needed. Keep the data files and scripts in the same folder. The figures in data/orignalFig/ were produced using these NCL scripts on Cheyenne, NCAR's HPC cluster. 1. get the NCL installed. On an HPC cluster with NCL installed, one may use "module load ncl" to load the ncl. Version 6.5.0 or later is needed. 2. go to the unpackaged file folder and then run scripts using a command like: ncl plot_1c.ncl to produce the figure1c in eps format in the current folder. Other figures can be reproduced similarly. <br> Some analysis information can be found in ncl scripts. Open ncl scripts using "vim" command (e.g., "vim plot_1c.ncl"). <br>
提供机构:
figshare
创建时间:
2022-12-27
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作