SuperDARN data in netCDF format (2020-Sep)

2020-Sep SuperDARN radar data in netCDF format. These files were produced using version 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/rst The 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) Recommended form of acknowledgement for the use of SuperDARN data: '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9月发布的netCDF格式（Network Common Data Form）雷达数据，隶属于超级双极光雷达网（Super Dual Auroral Radar Network，简称SuperDARN）。本批次文件采用公开FitACF算法3.0版本生成，并使用了AACGM v2坐标系。若在学术出版物中使用本数据集，请予以引用。 相关RST工具包可通过以下链接获取：https://github.com/SuperDARN/rst 依托SuperDARN完成的各项研究，离不开多国科学家与工程师团队的共同努力——他们负责雷达的搭建与运维、数据处理与开放共享、数据产品的开发与优化升级，并协助用户开展数据解译工作。 SuperDARN数据及数据产品的使用者，请在学术报告与发表论文中对该项支持予以致谢。关于如何致谢SuperDARN数据使用的简要说明如下。 若拟将研究成果投稿发表，使用者需先与SuperDARN项目首席研究员（Principal Investigator，简称PI）取得沟通。包含各雷达站点及首席研究员联系方式的列表可通过以下链接查阅：(SuperDARN雷达概览) SuperDARN数据使用的标准致谢措辞如下： "作者致谢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、英国及美利坚合众国的国家科学资助机构支持建设的雷达观测网。"