SuperDARN data in netCDF format (2013-Jan)

2013-Jan 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.'2013年1月的SuperDARN雷达数据采用网络通用数据格式（netCDF）存储。本数据集基于公开FitACF算法3.0版本生成，并采用AACGM v2坐标系。若在学术出版物中使用本数据集，请务必引用本数据集。 相关RST工具可通过以下链接获取：https://github.com/SuperDARN/rst SuperDARN相关研究的推进，离不开多国科学家与工程师团队的协力付出——他们参与雷达的搭建与运维、数据处理与开放共享、数据产品的开发迭代，并为用户提供数据解译协助。 SuperDARN数据及数据产品的使用者，需在学术汇报与发表成果中致谢上述支持团队。下文提供了SuperDARN数据使用的致谢规范说明。 若拟将研究成果投稿发表，请先与SuperDARN首席研究员（Principal Investigator，简称PI）取得沟通。 包含雷达名录及首席研究员联系方式的列表可在此查阅：（SuperDARN雷达概览） 推荐的SuperDARN数据使用致谢声明格式如下： ‘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、英国及美国的国家科学基金机构共同资助的雷达组网系统。’