SuperDARN data in netCDF format (2016-Jun)

2016-Jun 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.'2016年6月的netCDF格式SuperDARN雷达数据。本批文件采用公开FitACF算法3.0版本及AACGM v2坐标系生成。若在学术出版物中使用本数据集，请予以引用。 RST可从以下地址获取：https://github.com/SuperDARN/rst SuperDARN相关研究的开展，有赖于全球多国科学家与工程师团队的共同努力——他们参与雷达的搭建与运维、数据处理与共享、数据产品的开发与优化，并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本项目支持予以致谢。 下文提供了致谢使用SuperDARN数据的规范表述示例。 投稿拟发表的研究成果前，用户还需与SuperDARN的项目负责人（Principal Investigator，简称PI）进行沟通。 含雷达与项目负责人联系方式的清单可从以下地址查阅：（SuperDARN Radar Overview） 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、英国以及美国的国家科学资助机构支持建设的雷达探测阵列。’