SuperDARN data in netCDF format (2009-Jun)

2009-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.'2009年6月发布的netCDF(netCDF)格式SuperDARN雷达数据集。本批数据采用公开FitACF(FitACF)算法3.0版本，并基于AACGM v2(AACGM v2)坐标系完成数据处理生成。若在学术出版物中使用本数据集，请予以引用。 相关RST工具可于以下链接获取：https://github.com/SuperDARN/rst 依托SuperDARN开展的研究，离不开多国科研与工程团队的辛勤付出——他们负责雷达系统的搭建与运维、数据处理与共享、数据产品的开发迭代，以及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，需在学术报告与发表成果中对该项支持予以致谢。 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，建议用户先行咨询SuperDARN的项目负责人（Principal Investigator, PI）。 包含雷达设备与项目负责人联系方式的清单可参见：(SuperDARN雷达概览) SuperDARN数据使用的标准致谢格式如下： ‘作者致谢SuperDARN数据的使用。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资助机构支持建设的雷达组网系统。’