SuperDARN Grid data in netCDF format (2016-Dec)

2016-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.'

2016年12月发布的netCDF（网络通用数据格式）格式超级双极光雷达网络（SuperDARN）雷达数据集。本批次文件采用公开的FitACF与make_grid算法3.0版本，结合AACGM v2坐标系生成。若在学术出版物中使用本数据集，请务必引用本数据集。
RST（SuperDARN雷达软件工具包）可从以下链接获取：https://github.com/SuperDARN/rst
依托SuperDARN开展的研究成果，离不开多国科学家与工程师团队的辛勤付出——他们负责雷达的搭建与运维、数据处理、数据访问服务提供、数据产品的开发与优化，以及协助用户开展数据解译工作。SuperDARN数据及数据产品的使用者，需在学术报告与正式发表的论文中对该项支持予以致谢。下文提供了致谢SuperDARN数据使用的简要规范。
若拟将研究成果投稿发表，使用者还需事先咨询SuperDARN项目的首席研究员（PI）。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雷达总览）
使用SuperDARN数据的标准致谢表述如下：
"作者致谢使用SuperDARN数据。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资助的雷达组网系统。"