SuperDARN Grid data in netCDF format (1999-Aug)

1999-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.'1999年8月的超视距雷达（SuperDARN）netCDF格式雷达数据。本批文件采用公开的FitACF与make_grid算法3.0版本，结合AACGM v2坐标系生成。若在学术出版物中使用本数据集，请予以引用。相关RST代码仓库地址：https://github.com/SuperDARN/rst 依托超视距雷达开展的研究成果，离不开多国科研团队与工程师的共同努力——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，以及协助用户开展数据解译。超视距雷达数据与数据产品的使用者，需在学术报告及出版物中对相关支持工作致谢。超视距雷达数据使用致谢的简要说明如下。 此外，在提交拟发表的研究成果前，使用者需先咨询超视距雷达的首席研究员（PI）。雷达站点与首席研究员的联系方式列表可参见：《超视距雷达概况》（SuperDARN Radar Overview）。 <strong>超视距雷达数据使用推荐致谢格式：</strong>'本研究作者感谢超视距雷达（SuperDARN）数据的使用支持。超视距雷达是由澳大利亚、加拿大、中国、法国、意大利、日本、挪威、南非、英国以及美利坚合众国的国家科学基金机构资助的雷达组网系统。'