Wallops SuperDARN data in netCDF format (2020-May)

2020-May Wallops SuperDARN radar data in netCDF format. These files were produced using versions 2.5 and 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5月沃洛普斯（Wallops）超级双极光雷达网（SuperDARN）雷达数据，格式为netCDF（网络通用数据格式）。本批文件采用公开的FitACF算法2.5与3.0版本生成，并使用了调整高度校正地磁坐标系（AACGM v2）。若在学术出版物中使用本数据集，请予以引用。 相关研究软件工具包（RST）可于以下链接获取：https://github.com/SuperDARN/rst 超级双极光雷达网（SuperDARN）相关研究成果的取得，有赖于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、数据处理与开放共享、数据产品的开发与迭代，以及协助用户开展数据解译工作。SuperDARN数据与数据产品的使用者需在学术报告及出版物中对上述支持予以致谢，下文提供了SuperDARN数据使用的标准致谢表述。 投稿前，使用者还需咨询SuperDARN的首席研究员（PI）。包含雷达站点及首席研究员联系方式的列表可参见《SuperDARN雷达概况》。 推荐的SuperDARN数据使用致谢表述为： '作者对使用SuperDARN数据致谢。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基金机构资助的雷达观测网。'