SuperDARN Grid data in netCDF format (2020-Feb)

2020-Feb 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.'2020年2月发布的netCDF格式SuperDARN雷达数据。本数据集采用公开的FitACF与make_grid算法3.0版本生成，坐标系采用第二代自动对齐地磁坐标（AACGM v2）。若在学术发表中使用本数据集，请务必引用。 本数据集配套的RST软件包可于以下地址获取：https://github.com/SuperDARN/rst 由SuperDARN支撑的相关研究，离不开全球多国科研团队与工程师的共同付出：他们参与雷达的搭建与运维、数据处理与开放、数据产品的开发与优化，以及为用户提供解译协助。使用SuperDARN数据及数据产品的用户，请在学术报告与发表论文中致谢此项支持。下文提供了致谢SuperDARN数据使用的简要说明。 此外，若您的研究成果计划投稿发表，请务必先与SuperDARN项目首席研究员（PI）进行沟通。雷达站点与首席研究员的联系方式清单可在此处查阅：(SuperDARN雷达概览) **推荐的SuperDARN数据使用致谢格式：** "本课题组致谢使用了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、英国以及美国的国家科学基金机构资助的雷达探测阵列。"