SuperDARN data in netCDF format (2014-Sep)

2014-Sep 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.'2014年9月发布的SuperDARN雷达netCDF格式（netCDF）数据集。本批次文件采用公开的FitACF算法（FitACF）3.0版本与AACGM v2坐标系（AACGM v2）生成。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（RST）可通过以下链接获取：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倾力付出——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，并为用户提供数据解译协助。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该项目的支持予以致谢。下文提供了SuperDARN数据使用致谢的简要声明范本。 用户在提交拟发表的研究成果前，需咨询SuperDARN项目首席研究员（Principal Investigator，PI）。包含雷达清单及首席研究员联系方式的列表可通过以下链接查阅：（SuperDARN雷达概览） SuperDARN数据使用推荐致谢格式如下： "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、英国及美利坚合众国的国家科学资助机构支持的雷达观测网络。"