SuperDARN Grid data in netCDF format (2017-Aug)

2017-Aug 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.'2017年8月的超级双极光雷达网（Super Dual Auroral Radar Network，简称SuperDARN）雷达netCDF格式数据。本批次文件基于公开的FitACF与make_grid算法3.0版本生成，采用AACGM v2坐标系。若在学术出版物中使用本数据集，请引用本数据集。相关RST代码仓库地址：https://github.com/SuperDARN/rst 依托SuperDARN开展的研究成果，离不开多国科研团队与工程人员的共同付出——他们负责雷达的搭建与运维、数据处理与共享、数据产品的开发与迭代，并为用户提供数据解译协助。SuperDARN数据与数据产品的使用者需在学术报告及出版物中致谢该支持，致谢的简要说明如下。 使用者在提交拟发表的研究成果前，还请先咨询SuperDARN项目首席研究员（Principal Investigator，简称PI）。各雷达站及首席研究员的联系方式列表可参见：<strong>SuperDARN雷达概况</strong>(SuperDARN Radar Overview) <strong>SuperDARN数据使用致谢推荐表述：</strong>'作者感谢SuperDARN数据的使用许可。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观测网络。'