SuperDARN Grid data in netCDF format (2016-Nov)

2016-Nov SuperDARN radar data in netCDF format. These files were produced using versions 3.0 of the public FitACF and make_grid algorithms, 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/rstThe 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)<strong>Recommended form of acknowledgement for the use of SuperDARN data:</strong>'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11月发布的超级双极光雷达网（SuperDARN）雷达数据采用网络通用数据格式（netCDF）存储。本数据集的文件通过公开的FitACF算法与make_grid算法的3.0版本生成，坐标系采用自适应地磁坐标系第二版（AACGM v2）。若在学术出版物中使用本数据集，请予以引用。相关RST工具包可通过以下链接获取：https://github.com/SuperDARN/rst SuperDARN相关研究的顺利开展，离不开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、数据处理与开放共享、数据产品的开发与优化，以及协助用户开展数据解读工作。SuperDARN数据及数据产品的使用者需在学术汇报与发表成果中注明此项支持，具体的致谢规范说明如下。 若拟将研究成果投稿发表，建议使用者先与SuperDARN项目首席研究员（Principal Investigator，缩写PI）沟通。包含雷达站点与首席研究员联系方式的列表可参见：<strong>SuperDARN雷达概览</strong> <strong>SuperDARN数据使用标准致谢表述：</strong>"作者感谢SuperDARN数据的使用授权。SuperDARN是由澳大利亚、加拿大、中国、法国、意大利、日本、挪威、南非、英国及美国国家科学基金机构共同资助的雷达探测阵列。"