遇见数据集

Wallops SuperDARN data in netCDF format (2020-Dec)

收藏
Zenodo2022-02-14 更新2026-05-25 收录
数据链接:
官方服务:

资源简介:

2020-Dec Wallops SuperDARN radar data in netCDF format. These files were produced using versions 2.5 and 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.The RST is available here: https://github.com/SuperDARN/rstThe research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation. Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications. A brief statement on how to acknowledge use of SuperDARN data is provided below.Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication. A listing of radars and PIs with contact information can be found here: (SuperDARN Radar Overview)<strong>Recommended form of acknowledgement for the use of SuperDARN data:</strong>'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'

2020年12月沃洛普斯(Wallops)SuperDARN雷达数据集,格式为netCDF。本数据集文件由公开FitACF算法的2.5及3.0版本生成,坐标系采用AACGM v2。若在学术出版物中使用本数据集,请予以引用。 相关RST工具可在以下链接获取:https://github.com/SuperDARN/rst SuperDARN相关研究的开展,离不开多国科学家与工程师团队的共同付出:他们负责雷达的搭建与运维、数据处理与共享、数据产品的开发与优化,以及协助用户开展数据解译工作。使用SuperDARN数据及数据产品的用户,需在学术报告与出版物中对上述支持致谢。下文提供了SuperDARN数据使用致谢的规范示例。 投稿发表相关成果前,用户还需咨询SuperDARN项目负责人(PI)。雷达站点及项目负责人的联系方式列表可通过以下链接查看:(SuperDARN Radar Overview) **使用SuperDARN数据的标准致谢表述:** '作者感谢SuperDARN数据的使用。SuperDARN是由澳大利亚、加拿大、中国、法国、意大利、日本、挪威、南非、英国及美国的国家科学基金机构资助的雷达观测网。'

提供机构:
Zenodo
创建时间:
2022-02-11
二维码
社区交流群
二维码
科研交流群
商业服务