SuperDARN Grid data in netCDF format (2019-Nov)

2019-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.'本数据集为2019年11月的netCDF格式（netCDF）SuperDARN雷达数据。所有文件均采用公开FitACF与make_grid算法（FitACF, make_grid）的3.0版本，并结合AACGM v2坐标系（AACGM v2）生成。若在学术出版物中使用本数据集，请予以引用。相关RST代码仓库可访问：https://github.com/SuperDARN/rst SuperDARN的相关研究成果，离不开多国科学家与工程师团队的协同付出——他们负责雷达的搭建与运维、数据处理与共享、数据产品的开发优化，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，需在学术报告与出版物中对上述支持工作致谢。下文提供了标准的致谢表述模板。 用户在提交拟发表的研究成果前，还请先咨询SuperDARN的首席研究员（Principal Investigator，PI）。包含雷达清单及首席研究员联系方式的详细信息，可通过以下链接查阅：（SuperDARN雷达总览） <strong>SuperDARN数据使用致谢推荐表述：</strong>'作者致谢使用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、英国及美国的国家科学基金机构资助的雷达组网系统。'