SuperDARN Grid data in netCDF format (2017-Jul)

2017-Jul 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.'本数据集为2017年7月发布的netCDF格式SuperDARN雷达数据。所有文件均采用公开FitACF与make_grid算法的3.0版本生成，并使用AACGM v2坐标系。若在学术出版物中使用本数据集，请予以引用。相关RST代码库可在此处获取：https://github.com/SuperDARN/rst SuperDARN相关研究的顺利开展，离不开多国科学家与工程师团队的共同贡献：他们参与雷达的搭建与运维、数据处理与开放共享、数据产品的开发与迭代优化，并协助用户开展数据解译工作。SuperDARN数据及数据产品的使用者，需在学术报告与出版物中对上述支持予以致谢，下文提供了SuperDARN数据使用的标准致谢示例。 此外，使用者在提交拟发表的研究成果前，建议先咨询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查阅此处：（SuperDARN雷达总览） **SuperDARN数据使用推荐致谢格式：** "本研究作者致谢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共同资助的雷达组网系统。"