SuperDARN Grid data in netCDF format (2020-Dec)

2020-Dec SuperDARN radar data in netCDF format. These files were produced using versions 3.0 of the public FitACF and make_grid algorithms, 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12月的netCDF格式SuperDARN雷达数据集。本批数据采用公开版FitACF与make_grid算法的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工具包可通过以下链接获取：https://github.com/SuperDARN/rst
依托SuperDARN开展的科研工作，离不开全球多国科研团队与工程技术人员的共同付出：他们负责雷达系统的搭建与运维、数据处理与共享、数据产品的研发与优化，以及协助用户开展数据解译。因此，SuperDARN数据及数据产品的使用者需在学术报告与发表成果中对相关支持致以致谢，具体致谢参考说明如下。
此外，用户在提交拟发表的研究成果前，需先咨询SuperDARN的项目负责人（Principal Investigator，PI）。各雷达站点及其对应PI的联系方式列表可参阅《SuperDARN雷达概览》。
使用SuperDARN数据的标准致谢表述为：
"作者谨此致谢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基金机构共同资助的雷达组网系统。"